Testimonials
Rishabh provided practical and actionable guidance for my Uber DS II Full Loop preparation. What stood out most was his clarity around how Uber evaluates candidates, structured thinking, metrics intuition, experimentation depth, communication, and product sense. The session was highly insightful, and he helped me understand how to strategically approach the interviews instead of just studying topics blindly.
I had a very helpful mentoring session with Rishabh. He was approachable, supportive, and took the time to understand my background and career goals. His insights into analytics roles and the skills needed to grow in the field were very practical and actionable. The session gave me much better clarity on the direction I should take. I would highly recommend him to anyone looking for guidance or mentorship in analytics/ data science.
Thanks Rishabh for the information which I got it from you
I highly recommend Rishab, he was kind, honest and very knowledgeable. His insights were very helpful to me.
Services
Priority DM . a day reply
5
Video meeting . 60 mins
5
Video meeting . 30 mins
5
Video meeting . 30 mins
5
Video meeting . 30 mins
About me
Rishabh has 7 years of experience in data science, BI, advanced analytics and development, with solving data driven problems in consumer product (retail and cards business) and margin/credit risk disputes (broker dealer business), with the current role primarily focusing on designing KPIs, building pipelines, modelling data using ML techniques, setting up A/B tests for causality etc. I have explored regression, clustering, classification, churn modelling, topic modelling etc. in my daily work and have experience in setting up statistical experiments to find causality of an event - A/B/n experiments, synthetic control etc. My interests lie in understanding events ( for various flows like user journey, customer care services), instrumenting them and using them for useful insights on recommending product decisions.
Key product knowledge:
Acquisition Flow, Payments, Delivery/Operations/Disputes and Customer Care Optimisations (through ML, analytics and visualisations).
Key Technical Skills:
1. Machine Learning : Regression, Clustering, Classification, Time series Analysis, NLP , Decision Trees, Boosting etc.
2. ETL and Data Wrangling: Python, PySpark, Databricks, Alteryx, Airflow
3. Database and Querying: Snowflake, Hadoop, SQL, Hive, Redshift, Presto
4. Data Visualisation : Tableau, Google Data Studio
5. Web Languages: React, CSS, HTML
6. Business Management: Visio, JIRA
Management Skills:
1. Agile and Kanban Project Management
2. Requirement Gathering
3. Technical Grooming/ Product Management
4. Business Insights Visualization
5. Stakeholder Management
Github Profile : https://github.com/RishGupta