Daliana Liu

The Data Scientist Show

Business EN ↓ 92 episodes

I'm Daliana Liu, an ex-Amazon data scientist turned career coach and content creator with 300k followers on LinkedIn. I interview data science and AI practitioners on how they tackle practical problems and navigate career challenges. We cover both technical skills and soft skills. Each conversation is like having lunch with a mentor and friend. I share more about my career adventure and the lessons I learned with 22k subscribers, join here: https://www.dalianaliu.blog/

Author

Daliana Liu

Category

Business

Podcast website

www.linkedin.com

Latest episode

Jun 11, 2026

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Episodes

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 13.07.2022

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 of Technology, she also has a law degree JD from...

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 06.07.2022

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 best advice for people to get into data science....

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 29.06.2022

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+ followers on Linkedin talking about AI, analytics, and strategy. His webs...

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 23.06.2022

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 just finished his campaign for congress. Today we’ll talk about his ca...

Weather forecasting with AI, Kaggle tips and tricks, dealing with missing data, deep learning with Jesper Dramsch, The Data Scientist Show #040 16.06.2022

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 they learned from Kaggle, how to deal with missing data and ourliers,...

Reinforcement learning common use cases, recommendation engine, productivity - Susan Shu Chang the data scientist show#039 08.06.2022

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 reinforcement learning project in production. She is also the founder and dev...

User-centric data science, design thinking, from UX researcher to data science manager@Visa - Laura Gabrysiak - the data scientist show #038 31.05.2022

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 in Miami, and a co-founder of our Ladies. If you like the show...

A/B testing and growth analytics at Airbnb, building data science tools and metrics store with Nick Handel, the data scientist show#037 24.05.2022

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 was recognized as 30 under 30 by Forbes in 2018. If you like...

Becoming a superforecaster, decision science for better human predictions - Pavel Atanasov-the data scientist show#036 17.05.2022

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. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on da...

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 10.05.2022

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 user activity ( blog post ). If you like the show subscribe to t...

The golden age of AI and neuroscience, brain computer interface (BCI), from academia to FAANG with Patrick Mineault - The Data Scientist Show #034 05.05.2022

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 his career journey and learnings along the way. If you like the sho...

From biostatistician to the 'artist of data science', how he turned his life around, philosophy - Harpreet Sahota - The Data Scientist Show#033 06.04.2022

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 experience as a biostatistician, data scientist, l...

How he built the best Covid forecasting model, lessons learned and how to improve model performance with Youyang Gu - The Data Scientist Show#032 31.03.2022

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. Y ann LeCun, Facebook's chief AI scientist and professor stated that Gu's model "is the most accurate to predict deaths from COVID-19", surpassing the accuracy of the well-fund...

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 24.03.2022

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 Francisco in the US. Today we’ll talk about machine learn...

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 20.03.2022

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 as a data engineer, later became a senior ma...

Hands-on time series analysis, open source projects, R packages, MLOps common mistakes with Rami Krispin - The Data Scientist Show #029 11.03.2022

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 applications. He has a master degree in applied econome...

Becoming a deep learning researcher without a PhD, graph neural network(GNN), time series, recommender system with Kyle Kranen - The Data Scientist Show#028 03.03.2022

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), time series, and other deep learning research to...

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 24.02.2022

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. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for m...

Telling compelling stories with data, people skills for analytical thinkers with Gilbert Eijkelenboom - The Data Scientist Show #026 17.02.2022

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, how to earn trust, how to tell compelli...

Sports analytics and personal branding for data scientists, Ken Jee - The Data Scientist Show #025 09.02.2022

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.   If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newslet...

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 03.02.2022

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 communities, Julia, what the future of machine learning loo...

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 27.01.2022

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 researcher. If you like the show subscribe to the channel a...

Data-driven sales strategies, sales metrics, how to collaborate with business leaders with Dennis Yu - The Data Scientist Show #022 20.01.2022

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. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science....

Economic thinking and a must-listen mini MBA for data scientists with Airbnb VP and Wharton Professor, Amit Gandhi - The Data Scientist Show#021 13.01.2022

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, make sure you stick to the end. If you like the...

Translating ML model’s output into financial impact, fraud detection, financial modeling at Google, interview preparation with Dan Lee - The Data Scientist Show #020 05.01.2022

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 . If you like the show subscribe to the channel and give us a 5-star...

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