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A deep dive into data scientists' day-to-day work, tools and models they use, how they tackle problems, and their career journeys. This podcast helps you grow a successful career in data science. Listening to an episode is like having lunch with an experienced mentor. Guests are data science practitioners from various industries, AI researchers, economists, and CTOs of AI companies. Host: Daliana Liu, an ex-Amazon senior data scientist with 180k followers on Linkedin. Join 20k subscribers at ...
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The Data Scientist Show
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The power of error analysis, tree models for search relevancy, what ChatGPT means for data scientists - Sergey Feldman - The Data Scientist Show #059
1:19:43
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Sergey Feldman is the head of AI at Alongside, providing mental health support for students. He is also a Lead Applied Research Scientist at Allen Institute for AI, where he built an ML model that improved search relevancy for scientific literature. Sergey has a PhD in Electrical and Electronics Engineering from the University of Washington. Today …
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The Data Scientist Show
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How to build data science muscle memory, DeepChecks -- an open source ML testing suite - Philip Tannor - The Data Scientist Show #058
1:08:51
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Philip Tannor is the Co-Founder and CEO of Deepchecks, a python package to run checks for machine learning models. Previously, he was the head of data science group at the Isreal Defense Force. He has a master's degree from Tel Aviv University in engineering, his thesis was about a new algorithm that combines neural networks with gradient-boosting …
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The Data Scientist Show
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The Daliana Special: how did I got into data science, 5 things only experienced data scientists know, and why I started "The Data Sicentist Show" - Daliana Liu #057
1:15:20
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How he carved his own path at Airbnb, from data engineer to CEO of Mage - Tommy Dang - the data scientist show #056
1:08:02
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Tommy Dang is the Co-founder and CEO of Mage, a data ingestion and transformation pipeline for data engineers (https://github.com/mage-ai/mage-ai). Previously, he was working on data engineering and machine learning engineering at Airbnb. He has a bachelor degree of science in UC Berkeley studying economic, history, and sociology. Today we’ll talk …
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How to effectively test and debug machine learning models, from ML engineer@Apple to startup founder - Gabriel Bayomi - the data scientist show #055
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Gabriel Bayomi is the Co-Founder at OpenLayer, a tool that tests & debugs machine learning models. OpenLayer was in the YCombinator’s batch in 2021, building tools for machine learning model testing. Previously he was a machine learning engineer at Apple working on Siri. He has a master degree in computer science from Carnegie Mellon. He is passion…
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From Amazon research scientist to head of data product at Vestiaire Collective, why data science projects fail, how to be a good communicator - Alisa Kim - the data scientist show #054
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Alisa Kim is the head of data product at Vestiaire Collective. Previously, she was a research scientist at Amazon Web Services. We used to work on the same team in Machine Learning Solutions Lab and Amazon Web Services. We have collaborated on projects before and previously she was a consultant and worked on analytics and investment banking. She ha…
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The lessons from almost losing a million dollars for his company, how to build good data assets and get buy-in from the leadership - Mark Freeman - the data scientist show#053
1:32:31
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Mark Freeman is a community health advocate turned data scientist His mission is to improve the well-being of people, especially among those marginalized. He is currently a senior data scientist at Humu where he builds data tools that drive behavior change to make work better. He has a master degree from the Stanford School of Medicine in clinical …
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From deep learning architect at AWS to PM in AI product - Abhi Sharma - the data scientist show #052
1:30:45
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Abhi Sharma started his career as a software engineer at Amazon Lab 126, building cloud services for Alexa. Later he transferred to Amazon Web Services as a deep learning architect. We used to work at the same team at machine learning solutions lab in AWS. Currently, he is a product manager, responsible for machine learning products like chatbot at…
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What data scientists need to know about MLOps principles, from GPA 2.6 to Sr. MLOps Engineer@Intuit - Mikiko Bazeley - the data scientist show051
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Mikiko Bazeley is a senior software engineer working on MLOps at Intuit. Previously, she worked as a growth hacker, data analyst in Finance, then become a data scientist, and later transitioned into machine learning. She has a bachelor degree in econ, biological anthropologie, did data science bootcamp at springboard. She is a tech writer for NVIDI…
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The Data Scientist Show
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Bayesian thinking in work and life, ad attribution models and A/B testing, machine learning@Foursquare - Max Sklar - the data scientist show050
1:30:25
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Max Sklar is an independent engineer and researcher. Previously, he was an engineering and Innovation Labs Advisor at Foursquare after 7 years at the company as a machine learning engineer. Previously, he has worked on Ad Attribution, recommendation engine, ratings. He is the host of The Local Maximum podcast. Max studied CS from Yale, and holds a …
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Why he quit a $500k+ machine learning job at Meta (Facebook): a candid review of his experience, mistakes, and ML best practices - Damien Benveniste - the data scientist show049
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(timestamps below)Damien Benveniste is a data scientist and software engineer. Previously, he was a machine learning tech leader and mentor. He has worked for almost ten years in different machine learning roles in different industries such as AdTech market research, e-commerce and health care. He has a Ph.D. in physics from Johns Hopkins Universit…
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Time series modeling in supply chain, how to master business communication, save the environment with data science - Sunishchal Dev - the data scientist show048
1:03:09
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Sunishchal Dev is a lead data scientist at Booster. He's helping to decarbonize the transportation industry by optimizing last mile delivery of renewable fuels. Previously, he was a management consultant. On the side, he volunteers with Project Drawdown to model the most effective solutions to climate change. He is also a mentor of future data scie…
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Product data science@Spotity, from management consultant to data scientist, salary negotiation, managing ADHD - Felicia Rutberg - the data scientist show047
2:12:57
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Felicia Rutberg is a product strategy and analytics manager at Snap, previously she was a product data scientist at Spotify. She started her career as a management consultant at Accenture. She studied mathematics and cognitive psychology at the Vanderbilt University. Felicia reached out to me on Linkedin because she wanted to share how she became a…
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Data science interviews trends in 2022, from being laid off to landing a data scientist job at Airbnb - Emma Ding - the data scientist show #046
1:19:35
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Emma Ding is a data scientist turned career coach. Previously she was a data scientist and software engineer at airbnb. I first discovered her through a viral Medium blog called “how I got 4 data science offers and doubled my income 2 months after being laid off". Today, her mission is to help data scientists land their dream offers by being strate…
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Using ML to tackle disruptive behaviors in gaming@Activision, data science in the metaverse, cyber security - Carly Taylor - the data scientist show #045
1:15:41
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Carly Taylor is a senior manager at Activision, leading a team of machine learning engineers to tackle disruptive behaviors in the game ‘Call of Duty’. Previously, she has held various roles including machine learning engineer, data scientist, product analyst, Analytical Chemist. She has a master degree in computational chemistry from the universit…
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From lawyer to senior data scientist at Amazon, data science in devices, HR, and real estate, how to 're-invent' yourself - Pauline Chow - the data scientist show #044
1:31:11
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Pauline Chow is a data scientist and former legal attorney and active transportation advocate. She worked in banking, fashion and education start-ups, and Amazon. Currently, she is the data engineering lead for Thrackle, a blockchain research and modeling company. She has a master degree in computer science, Machine learning, from Georgia Institute…
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From chemical engineer to data scientist@ExxonMobil, why he left to do data science freelancing, data career jumpstart, Avery Smith - the data scientist show#043
1:31:59
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Avery Smith is a data science consultant and career coach at Data Career Jumpstar, and TA at MIT professional education. Previously, he was working on optimization and predictive analytics at ExxonMobil. We talked about his journey from from chemical engineer to data analytics, optimization problems in energy sector, why he left ExxonMobil, and his…
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Applied machine learning research methods, human-machine team, AI strategies, trends in machine learning, how to earn trust - Vin Vashishta - The data scientist show #042
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(Highlights below) Vin Vashishta is a chief data officer and AI strategist at V Squared, a company he founded in 2012 that provides AI strategy, transformation, and data organizational build-out services. He teaches data professionals about strategy, communications, business acumen, and applied machine learning research methods. Vin has 130k+ follo…
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Retail store forecasting with video and audio, ML in high frequency trading, from tech to politics, ML in Web3 - Greg Tanaka, the data scientist show #041
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(Highlights below) Greg Tanaka is a computer scientist turned CEO of an AI company. He started coding when he was 6, studied computer science at UC Berkeley, and has built many machine learning applications, he is the the founder and CEO of Percolata developing ”Forecast as a Service”. He is also the council member of Palo Alto in California, and j…
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Weather forecasting with AI, Kaggle tips and tricks, dealing with missing data, deep learning with Jesper Dramsch, The Data Scientist Show #040
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(Highlights below) Jesper Dramsch is a scientist for machine learning at the European Centre for Medium-Range Weather forecasts. They have a phd in applied Machine Learning to Geoscience from Technical University of Denmark. They are a Kaggle Kernals Expert and TPU star, ranking at top 81/100k worldwide. We talked about weather forecasting, things …
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Reinforcement learning common use cases, recommendation engine, productivity - Susan Shu Chang the data scientist show#039
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(Highlights below) Susan Shu Chang is a principal data scientist at clearco, helping ecommerce founders' by building machine learning-powered investing. In her previous role, she developed the company’s very first ML powered website recommender system, deployed to millions of customers, and created a custom OpenAI Gym environment for a reinforcemen…
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User-centric data science, design thinking, from UX researcher to data science manager@Visa - Laura Gabrysiak - the data scientist show #038
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(highlights below) Laura Gabrysiak is a senior manager of data products and solutions at Visa. Previously, she's a data scientist, building machine learning models and decision tools to enable Visa clients. She has a college degree in computational and linguistics and has masters in design thinking. She's building the local data science community i…
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A/B testing and growth analytics at Airbnb, building data science tools and metrics store with Nick Handel, the data scientist show#037
2:10:07
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(Highlights below) Nick Handel was a senior data scientist leading the launch of the data side of this Airbnb Trips and later built a team that designed aribnb’s end-to-end machine learning platform, bighead. Currently, he is the cofounder and CEO of Transform, he first centralized 'metrics store' that empowers data analysts to deliver insights. He…
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Becoming a superforecaster, decision science for better human predictions - Pavel Atanasov-the data scientist show#036
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(Highlights below)Pavel is a decision scientist and co-founder at Pytho, using decision science to measure and improve human judgment & prediction. He has a phd in psychology and decision science from the University of Pennsylvania, focusing on crowd predictions. Pavel's twitter: https://twitter.com/PavelDAtanasov. Follow Daliana (https://twitter.c…
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Using AI to detect online abuse, from physics PhD to staff ML engineer@Linkedin, persuasion at work with James Verbus - the data scientist show #035
1:35:55
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(Timestamps below) James Verbus is Staff Machine Learning Engineer at LinkedIn. He has a PhD in Physics from Brown university. He is the tech lead of the Anti-Scraping and Automation AI Team, working on protecting LinkedIn's Members from bots and abusive scripted behavior, pioneering the use of deep learning to detect abusive automated sequences of…
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The golden age of AI and neuroscience, brain computer interface (BCI), from academia to FAANG with Patrick Mineault - The Data Scientist Show #034
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(Timestamps below) Patrick Mineault is a neural data scientist. He has worked at Google and Facebook after he did a postdoc at UCLA. He worked on Brain Computer Interface (BCI) at Facebook Reality Labs, building a BCI that allows you to type with your brain. He tweets about neuro-AI @patrickmineault, and writes a blog (https://xcorr.net) sharing hi…
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From biostatistician to the 'artist of data science', how he turned his life around, philosophy - Harpreet Sahota - The Data Scientist Show#033
1:25:08
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Harpreet Sahota is a data scientist and ML developer advocate, he is also the host of “artist of the data science” podcast and weekly data science happy hours, he is the principal data science mentor at data science dream job. He is also a philosophy nerd. He had some struggles when he tried to get into data science, and today we’ll talk about his …
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How he built the best Covid forecasting model, lessons learned and how to improve model performance with Youyang Gu - The Data Scientist Show#032
2:03:43
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Youyang Gu is the creator of http://covid19-projections.com. In 2020, while most Covid prediction model failed, without any experience in medicine he created a forecasting model that outperforms almost all medical experts. Yann LeCun, Facebook's chief AI scientist and professor stated that Gu's model "is the most accurate to predict deaths from COV…
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Feature engineering, ML models in production, new trend for ML tools, day-to-day of a principal engineer with Willem Pienaar - The Data Scientist Show #031
1:36:24
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Willem is the creator of Feast, an open-source feature store (feast.dev), building tools at the intersection of engineering, data, and ML. Currently, he work as a Principal engineer at Tecton, Leading the development of Feast, an open source feature store. Previously, he has worked in South Africa, Thailand, Singapore before he moved to San Francis…
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Machine learning in healthcare, how to scale ML solutions, from ML researcher to product leader at Microsoft with Muazma Zahid - The Data Scientist Show #030
1:40:31
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Muazma Zahid is a leader in data and AI, speaker and researcher in Biomedical Engineering with several international publications and awards. We talked about machine learning in healthcare, how to scale data science solutions, her journey from a ML researcher to data engineer to engineering manager to a product leader. She joined Microsoft in 2018 …
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Hands-on time series analysis, open source projects, R packages, MLOps common mistakes with Rami Krispin - The Data Scientist Show #029
1:31:03
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Rami leads the data science and engineering team at Apple Finance Decision Support. He uses advanced statistical and machine learning models to help leadership make better decisions. He is also an open-source contributor and the author of Hands-On Time Series Analysis with R and several R packages for time series analysis and machine learning appli…
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Becoming a deep learning researcher without a PhD, graph neural network(GNN), time series, recommender system with Kyle Kranen - The Data Scientist Show#028
1:57:10
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Kyle Kranen is a Deep Learning Software Engineer at Nvidia. Researching, implementing, and optimizing state of the art distributed deep learning models, using mainly Pytorch and Tensorflow. He has a unique combination of skillset of both hardware and software engineering. We talked about Graph Neural Network (GNN), Temporal Fusion Transformer (TFT)…
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How to 'predict' the past, geospatial data's use cases, Data-as-a-Service (DaaS), out-of-the-box career advice with the CEO of SafeGraph, Auren Hoffman - The Data Scientist Show #027
1:26:27
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Auren Hoffman is CEO of SafeGraph: the place for data about physical places. We talked about how to use analytics and machine learning to find truth in data, geospatial data and their use cases, the impact of DaaS, and what he looks for when he develops talents. Auren's Twitter @auren. Follow Daliana on Twitter @DalianaLiu for more updates on data …
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Telling compelling stories with data, people skills for analytical thinkers with Gilbert Eijkelenboom - The Data Scientist Show #026
1:28:09
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Gilbert Eijkelenboom is the founder of Mindspeaking, a training program helping data & analytics professionals improve their business understanding, persuasion, and storytelling skills. He wrote the best-selling book “people skills for analytical people”. We talked about to get buy-in from stakeholders, how to build work relationships as introverts…
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Sports analytics and personal branding for data scientists, Ken Jee - The Data Scientist Show #025
1:32:17
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Ken Jee is the head of data science@Scouts Consulting Group and a YouTube creator with over 180k followers. Today we talked about sports analytics, how to grow your career and get promoted, how to explain complex concepts to stakeholders, how to build personal brands as data scientists. Subscribe to the show and I'll appreciate a comment or 5-star …
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From Apple store specialist to ML engineer at Apple, build a portfolio through open source projects, Julia Language, with Logan Kilpatrick - The Data Scientist Show #024
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Logan Kilpatrick is a machine learning engineer at Apple, Developer Community Advocate of Julia. He is a teaching fellow at Harvard extension school, and currently doing a master program of science in Law. Today we’ll talk about how he became a Machine learning engineer, the internship he did in NASA, why you should care about open source communiti…
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Tackling complex ML problems with small steps, MLOps best practices, pre-model analysis, from marketing analyst to principal ML researcher with Nathan Landi, The Data Scientist Show #023
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Nathan Landi is a principal quantitative researcher at TEKSystems. He is on the advisory board of MLOps world. We talk about pre-model analysis using information value, MLOps best practices, multi-stage modeling, tackling complex problems with simple models, interview tips, and how he grew his career from marketing analyst to principal ML researche…
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Data-driven sales strategies, sales metrics, how to collaborate with business leaders with Dennis Yu - The Data Scientist Show #022
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Dennis Yu is a Revenue and Strategy Leader, currently he is the Merchant Success Team Lead at Shopify, he’s on the advisory board of USC startup accelerator, and he is also leading Talent and Professional Development for Asian ERG at Shopify. Today we’ll talk about what business leaders look for in data science projects and his career journey. Sale…
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Economic thinking and a must-listen mini MBA for data scientists with Airbnb VP and Wharton Professor, Amit Gandhi - The Data Scientist Show#021
1:40:17
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Amit Gandhi is a technical fellow and VP at Airbnb. He is a professor in economics at the Wharton School in the University of Pennsylvania. He gave as a master class on economic thinking and a mini-MBA tailored for data scientists. We also talk about his career journey, decision-making, machine learning, economics, and his advice to data scientists…
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Translating ML model’s output into financial impact, fraud detection, financial modeling at Google, interview preparation with Dan Lee - The Data Scientist Show #020
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Dan Lee is the an ex-Google data scientist turned founder of DataInterview - an interview prep platform for data scientist. We talked about how to translate model results into dollar amount, fraud detection models, quantitative thinking, data storytelling, best practices in exploratory data analysis (EDA), and interview prep tips. His Linkedin: htt…
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Unlocking the power of emotional intelligence for your career success, how to handle toxic relationships and how to regulate negative emotions with Marc Brackett - The Data Scientist Show #019
1:13:30
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Marc is a Yale Professor and the founding director of Yale Center for Emotional Intelligence. He wrote the best selling book “Permission to Feel”. Today we’ll talk about how we can use emotional intelligence to empower our careers: how to regulate negative emotions how to deal with toxic relationships at work how to influence big stakeholders Follo…
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The ultimate data science interview landscape, three shifts in DS job search, common mistakes in interviews with Andrew Berry The Data Scientist Show #018
1:49:58
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Andrew Berry is a data science educator at Lighthouse Labs. He has worked with over 100+ students from various backgrounds trying to transition into data science. He teaches data science, coaches aspiring data scientists, and design courses. We talked about the shift in data science interviews, how to tackle coding interviews, future of job search,…
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From unemployed to chief data scientist of multiple startups, machine learning prototyping, how to read people, overcoming life struggles with Matt Kirk, the data scientist show #017
2:02:53
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Matt Kirk is Daliana's mentor, so it's a very special episode! Matt has been many things in his life: data scientist, software engineer, research analyst (quant), a founder, a c-level executive, and so on. We talked about Matt’s unique career adventure, machine learning solutions he built for startups, how to read people and influence stakeholders,…
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The unique algorithm for compact and accurate machine learning models, no-code ML use cases and its impact on the future of data scientists with Blair Newman - The Data Scientist Show #016
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Blair Newman is the CTO of Neuton AI. Neuton is a zero-code cloud platform that empowers users of any tech level to apply the best machine learning practices for solving real-world challenges faster. We’ll talk about Neuton AI’s patented deep learning algorithm that doesn’t use back propagation, his career journey, no-code ML use cases, and how doe…
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Build successful end-to-end machine learning systems, ML engineers day-to-day and stakeholder management with Eugene Yan - The Data Scientist Show#015
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Eugene Yan is a machine learning engineer at Amazon. He designs, builds, and operates machine learning systems that serve customers at scale. In his free time, he writes and speaks about data science on www.eugeneyan.com with 2,000+ subscribers. We talked about how to build an end-to-end ML project successfully, machine learning best practices, his…
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From data engineer to data scientist at Google, transition into DS from non-tech degree, salary negotiation, how to manage up with Sundas Khalid - The Data Scientist Show #014
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Sundas Khalid is a senior analytics lead at Google. She started her career as a data engineer and transitioned into data science through self-learning. I met Sundas when we worked together at Amazon. She helped women of color negotiate a $1.4M in incremental salaries. She talks about careers in data science, personal finance, and salary negotiation…
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Develop product sense to uplevel your data science career, how to influence product managers with data, crack product sense interview questions with Peter Knudson - The Data Scientist Show #013
1:11:06
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Peter Knudson is a product manager of 10 years who focuses on innovative new experiences that help drive engagement in the ever evolving landscape of mobile and console games. He is also the author of the Amazon best selling book “Product Sense.” We talk about what is product sense, how do data scientist develop product sense, what are product mana…
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The secret to improve mental health, future of data engineering, work life balance with Zach Wilson - The Data Scientist Show #012
1:21:57
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Zach Wilson is a tech lead at Airbnb building data pipelines, previously he worked at Netflix and Facebook. Zach graduated from college at the age of 20 with degrees of math and computer science. He has over 80k followers on Linkedin. We talked about mental health, terminal level, promotions, work life balance, building audience on Linkedin, and th…
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Demystify data engineering, 3 common mistakes, FAANG's culture, how to say no at work with Zach Wilson - The Data Scientist Show #011
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Zach Wilson is a tech lead at Airbnb building data pipelines, previously he worked at Netflix and Facebook. Zach graduated from college at the age of 20 with degrees of math and computer science. He has over 80k followers on Linkedin. We talked about common data engineering mistakes, best practices, softskills, how to say no at work, work experienc…
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Build a killer analytics dashboard for your CEO; data visualization best practices with Kate Strachnyi - The Data Scientist Show #010
1:24:26
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Kate Strachnyi is the founder of DATAcated – delivering training on data visualization, data storytelling, and dashboard best practices. She has over 150k followers on Linkedin. We talked about how she got into data analytics without a background in math, what makes a good dashboard, how to work with executives, how to tell stories with data, what …
