Rishab Menon

Turning raw signals into decisions — building pipelines, dashboards, and data products that move teams forward.

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// trusted & trained by

FactSet IBM PwC accenture PANACEA SRM

// impact @ factset

~2h Saved per cyclePython automation of coverage analysis

30% Manual effort cutLLM-driven reporting (Claude + GPT)

8+ Data feeds shippedBuilt & migrated on AWS + Snowflake

20% Support load downAI chatbot for team navigation

// 01 / about

A curious mind, wired for product & data

Driven by curiosity and a hunger for learning, I decode data to empower smarter decisions. I leverage Python, SQL, and Snowflake to wrangle data, then transform it into actionable strategies with Power BI, Tableau, and AWS-backed pipelines.

Currently at FactSet, building automation and data feeds across Private Markets and Risk Model products. With strong written and verbal communication, I ensure seamless collaboration and effective conveyance of insights to stakeholders.

// 02 / now

What I'm up to

A quick snapshot of what's on the bench this quarter.

Building

Private Markets & Risk Model coverage automation at FactSet — Python + Snowflake pipelines in production.

AWS · Snowflake · Python

Learning

LLM workflow integration (Claude, OpenAI GPT) for analytics automation + advanced Snowflake performance tuning.

Claude · GPT · DAX

Open to

Senior Data Analyst, Product Analyst, and BI engineering roles — full-time, open to any city across India.

Let's chat · menonrishab25@gmail.com

// 03 / stack

Tools in the observatory

The technologies I reach for every day to move data from raw signal to clear decision.

SQL

queries · modeling · joins

Python

pandas · automation · ETL

AWS · Snowflake

pipelines · warehousing

Power BI

dashboards · DAX · modeling

Data Modelling · Excel

schemas · XLOOKUP · pivots

Communication

writing · presenting · scrum

// 04 / trajectory

Career & education

Download Full Resume

Current Sept 2024 — Present

Senior Product Analyst

FactSet · Hyderabad, India
- Automated Private Markets and Risk Model coverage analysis using Python, saving ~2 hours per task cycle.
- Integrated Claude and OpenAI GPT to automate weekly reports and monthly checks — reduced manual effort by 30%.
- Independently built and migrated 8+ data feeds and 24 pipeline jobs using AWS and Snowflake.
- Co-developed an internal AI chatbot to streamline team navigation — reduced engineering support load by 20%.
- Conducted monthly trend analysis of data quality incidents across Private Markets and Risk Model feeds to drive proactive resolution.
- Queried and analyzed data across MySQL, SQL Server, and Snowflake to investigate pipeline issues and examine data schemas.
Python Snowflake AWS SQL LLMs Power BI
Internship Jul 2023 — Aug 2023

Healthcare & AI Analytics Intern

Panacea Infosec Pvt Ltd · Delhi
- Developed an accurate AI model for head fracture detection in CT scans using computer vision.
- Constructed an interactive dashboard demonstrating a 70% improvement in success probability over previous methods.
- Leveraged Python to load and visualize data for examining prediction rates.
- Used regression and machine learning to produce a final model with 88% accuracy.
Python ML Computer Vision
Internship Jun 2023 — Jul 2023

Data Analytics Intern

IBM · Noida
- Used Python and SQL for comprehensive data analysis, generating actionable insights for decision-making.
- Collaborated with cross-functional teams to design and implement a data-driven solution that streamlined workflows by 35%.
- Identified process inefficiencies through data analysis, contributing to increased team productivity.
Python SQL Analytics
Education Aug 2020 — Apr 2024

B.Tech — Computer Science

SRM University · Delhi NCR
- Specialization in Data Science & Artificial Intelligence.
- Coursework spanning ML, statistics, database systems, and cloud computing.
B.Tech CSE Data Science & AI