// that data geek
I'm Anirudh Prabhu.
Data Science · AI · Finance · Risk · Analytics aficionado.
01 · about
A data nerd, inspired by tough problems.
I enjoy data-driven storytelling. A few interesting things about me: I love reading (sci-fi and growth books) and chasing sunsets. I'm a very outdoorsy human and an adventure junkie, passionate about poker, tennis, soccer and chess. Above all, I'm a perpetual learner — every day I push myself to learn something new, whether it's machine learning, a new instrument, or miscellaneous facts about the fascinating world we live in.
I graduated in Electronics and Computer Science Engineering (B.S.) and started my career as a Software Consultant for CISCO in 2014. After two years of solving intriguing front-end and back-end problems and working with clients day to day, I pursued my Master's in Information Science and Data Analytics at the University of Texas at Dallas.
Nine years into Uber, I now lead data science for Revenue Intelligence and Finance — shaping the analytics that support Uber's path to profitability. My toolkit is increasingly AI-first: LLM-powered chatbots that answer finance questions in seconds, Streamlit apps that put self-serve analytics in stakeholders' hands, and time-series and ML models for anomaly detection, churn and lifetime value — with insights delivered straight to C-level executives.
A decade in, I don't just build the models — I lead the teams, roadmaps and AI products behind them.
02 · skills
The toolkit.
Rated the honest way — 1 basic → 5 expert.
- Databases & Big Data (SQL, Hive, Presto, Spark)5
- Data Viz & Apps (Tableau, Plotly, Streamlit)5
- Data Storytelling & Executive Communication5
- Machine Learning & Forecasting (ARIMA, Prophet, scikit-learn)5
- Coding (Python, R)4
- GenAI & LLM Apps (Chatbots, RAG)4
- Statistics & Experimentation (A/B Testing)4
- Data Engineering (Airflow, ETL, Warehousing)4
03 · journey
Mumbai → Dallas → San Francisco.
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Aug 2021 — PresentSenior Data Scientist — Tech
Uber Technologies Inc. · San Francisco
Leading data science for Revenue Intelligence and Finance, helping build solutions for Fin-tech. Developing insights and key metrics that support Uber's path to profitability — including LLM-powered chatbots and Streamlit apps that bring self-serve, AI-assisted analytics to finance stakeholders.
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Jan 2018 — Aug 2021
Senior Data Analyst — Strategic Finance
Uber Technologies Inc. · San Francisco
Built analytical data-warehouse solutions in partnership with Engineering using Hive, Python, Airflow and Spark to onboard new Uber acquisitions like JUMP and Uber Freight — improving query efficiency by 80%. Delivered dashboards and insights for C-level executives.
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May 2017 — Jan 2018
Risk Data Scientist
Uber Technologies Inc. · San Francisco
Designed and developed ML models and enhanced rule-based systems to mitigate fraud and reduce user friction on the Uber platform, producing applicable insights for the Risk team.
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Aug 2016 — May 2018M.S. Information Systems
University of Texas at Dallas · GPA 3.7
Coursework: Data Warehousing, Machine Learning, Statistics, Data Management, Data Visualization. Leadership: Writing Tutor, mentoring students on structure in their written work.
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2014 — 2016IT Analyst
CISCO · Mumbai, India
Analyzed and resolved front-end and back-end code issues in the CISCO workspace application using PL/SQL and Java.
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2010 — 2014
B.S. Electronics & Computer Science
University of Mumbai
Coursework: Computer Programming, Differential Equations, Linear Algebra, Calculus, Microcontrollers, Circuit Design.
04 · keynotes
On stage.
Data Science Forecasting Methodologies
Presented at the Machine Learning Innovation Summit, Dublin, Ireland — 2018. Covering forecasting at Uber scale: marketplace supply/demand, real-time outage detection across 500M+ metrics, and hardware capacity planning.
View the slides (PDF)05 · projects
Learning is fun. It should never stop.
Passion projects and product ideas that keep me growing — find more on GitHub and Tableau Public.
ARIMA Time-Series Modeling
Forecasting customer demand and inventory over a 7-day horizon with ARIMA techniques.
Python · matplotlib · FB Prophet
Customer Lifetime Value — Retail
Predicting 3-month CLV for an online retail firm using regression techniques.
Python · scikit-learn
Predicting IMDB Movie Ratings
Regression and neural networks to predict a future movie's IMDB rating and gross margin.
R · SAS
Analyzing Facebook Ad Campaigns
Feature engineering and visual analysis of CTR, CPC and campaign metrics.
Python · pandas · seaborn
Carpool Buddy System — UT Dallas
Product platform and database design helping students commute to classes and events.
Lucidchart · Erwin
Global Water Scarcity — Tableau Viz
Visualizing the understated global risk of fresh-water scarcity for future populations.
Tableau
Data Analysis with Pandas & Python
Companion code repository for the Packt title — hands-on pandas techniques for real-world data analysis.
Python · pandas · Packt
Data Science Projects
An evolving collection of smaller data science experiments, scripts, and explorations.
Python · Jupyter06 · testimonials
Kind words.
All six are real LinkedIn recommendations — read them on my LinkedIn →
07 · blog
Notes from the field.
The Math Behind A/B Testing
Two variations, unique groups, and the statistics that tell you which one truly wins.
Integrating MySQL with Hadoop
You have a relational database and a cluster. Here's why — and how — to connect them.
Storytelling with Data
Turning data into information — and information into stories people act on.
08 · contact
Contact me.
Got a gnarly data problem, a role you think I'd love, or just a great sci-fi recommendation? Shoot me an email — my inbox loves a good subject line.
anirudhamp@gmail.com