Rishabh Gupta

Data Science @ Uber

B.E., BITS Pilani

Bengaluru, K.A, India

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Rishabh Gupta

About Me

With 7 years of experience in data science and advanced analytics, I solve data-driven problems in consumer products across trust, safety, customer care, and marketing domains. My work at Uber and Goldman Sachs focuses on designing KPIs, building data pipelines, modeling with ML techniques, and setting up A/B tests to establish causality. I am passionate about mentoring and helping aspiring data scientists bridge the gap from academia to industry.

Former Employer

Goldman Sachs

Key Skills

Python, SQL, Machine Learning, A/B Testing, Product Analytics

Mentor in a workshop

My Approach to Data Science & Mentorship

Professionally, I focus on creating tangible business impact—whether it's improving customer satisfaction or boosting the P&L. I believe in statistical rigor, using experiments like A/B tests to find clear, causal relationships. As a mentor, I am passionate about sharing this real-world experience, guiding students through complex concepts and preparing them for a successful career in data science.

Impact-Driven Analytics

Focusing on business KPIs like CSAT, Contact Rate, and P&L.

Statistical Rigor

Using A/B/n experiments and statistical tests for causality.

End-to-End Problem Solving

From ETL pipelines and modeling to business insights visualization.

Passionate Mentorship

Helping students bridge the gap from college to a dream job.

A Proven Track Record

Delivering results at the world's leading tech and finance companies.

  • Top-Tier Company Experience

    Extensive experience at industry leaders like Uber and Goldman Sachs.

  • Measurable Business Impact

    Increased user base by 30% for Marcus by Goldman Sachs and cut firm margin disputes by 47%.

  • Experienced Instructor

    Serves as a Data Science Instructor at Bosscoder Academy and a Student Mentor at Newton School.

Experience At

Uber Logo Goldman Sachs Logo BITS Pilani Logo

Technical Skillset

Core competencies across the entire data lifecycle.

Machine Learning

Regression, Clustering, Classification, Time Series, NLP, Decision Trees, and Boosting.

ETL & Data Wrangling

Python, PySpark, Databricks, Alteryx, and Airflow for robust data pipelines.

Database & Querying

SQL, Snowflake, Hadoop, Hive, Redshift, and Presto for large-scale data manipulation.

Data Visualization

Creating insightful dashboards and reports with Tableau and Google Data Studio.

Career Milestones

A journey of growth and impact.

Joined Goldman Sachs

Product Analyst

Began career after graduating from BITS Pilani, developing ETL frameworks and classification models.

2018

Senior Analyst

Goldman Sachs

Promoted to Senior Analyst, implementing data models and designing schemas for the Apple Card.

2020

Data Scientist-II

Uber

Joined Uber to solve data-driven problems in the consumer product and customer care domains.

2022

Senior Data Scientist

Uber

Promoted to lead Agent Operations and Platform data science projects, impacting key business metrics.

2024

Key Achievements

Delivering data-driven results that create business value.

Customer Service

Optimized Customer Experience @ Uber

Led data science projects for Agent Operations and Platform, creating a direct impact on CSAT, Contact Rate, and Refunds & Appeasements.

Mobile Banking App

Drove 30% User Growth @ Goldman

Led analytics for 4 major product releases for Marcus by Goldman Sachs, resulting in a 30% increase in the user base for the cards business.

Financial Chart

Cut P&L Disputes by 47% @ Goldman

Built a classification model for margin disputes that enabled a laser-targeted approach, reducing the dispute amount by 47%.

Community & Mentorship


Frequently Asked Questions

What industries do you have experience in?

I have deep experience in both financial services from my time at Goldman Sachs (working on the Marcus and Apple Card products) and in the consumer tech space (mobility, food delivery, and customer care) at Uber.

What are your key technical skills?

My core skillset includes Machine Learning (Regression, Classification, NLP), ETL (Python, PySpark), advanced SQL for various databases (Snowflake, Hadoop, Hive), and Data Visualization tools like Tableau.

Do you offer mentorship or teaching?

Yes, I am very passionate about giving back to the community. I actively mentor students and serve as a Data Science Instructor for platforms like Bosscoder Academy and Newton School, where I help students excel in coursework and prepare for interviews.