Business Analyst · Flipkart
Leading Payment Analytics currently and led Recommendation Analytics handling analytical solutioning for Hyperlocal Replenishment and Customer Engagement with multiple Reco Systems across a variety of use cases
Pranav Deepak
PD .
Analyst, developer, cinephile
Pranav Deepak
Business Analyst at Flipkart, developer by instinct.
I turn gruntwork into scripts, dashboards into decisions, and most weekends into another rewrite. Slightly addicted to automation, unapologetically.
When I am not cohortizing customers or drafting engagement strategy, I am working with ML models or wondering whether the side project needs another complete do-over. From straightforward GSheet dashboards to graph neural networks, the working solution is rarely the complex one.
Experience
From bugs to business impact.
SDE Intern · BNP Paribas ISPL
Built ETL pipelines for financial data sources and handled source control migration from Visual Source Safe to Bitbucket.
Research Intern · Sony SSUP
Led integration team to enable microcontroller data accessibility on the cloud platform. Redesigned backend to microservices architecture and rebuilt the complete dashboard frontend
Application Development Intern · L&T Construction
Developed backend Web APIs and built multiple web components for site evaluation client applications.
Undergraduate Student · Amrita Vishwa Vidyapeetham, Coimbatore
Got my B.Tech in Computer Science and Engineering & found my passion for technology and design.
Projects
Trial by error, heavy on the trial.
Music Recommendation & Analytics App
Amusify
Music recommendation dashboard with analytics built using Spotify API.
Comprehensive Faculty Dashboard
FacDash
Full-stack faculty management system with worklog tracking and scheduling.
Information Extraction & Classification Tool
NewsNER
NLP-powered information extraction tool fine-tuned for Hindi news articles.
Customer Segmentation Analysis
ClusterSense
Customer segmentation analysis to identify key groups and tailor marketing strategies for a retail sales dataset.
Side Quests
Research and work that does not fit a single label.
Research Publication
Content-Agnostic Community Classification
Meta-graph representations of conversational dynamics for community classification (OSNEM 2025 - In peer-review).
Hackathon
Flipkart AnalytiQ Hackathon 2025 - Winner
Built post-order RTO (Return to Origin) prediction system for reducing logistics costs for high order volume BUs.
Paper Presentation
Annual Flipkart DS Conference 2025
Presented seasonality and weather-based product weights for recommendation systems focusing on replenishment strategies.
Certifications
Machine Learning & Deep Learning Specializations
Completed comprehensive Coursera specializations covering ML algorithms and deep learning architectures.
Writing
View all writingA small note on recommendation systems
A sample article showing how technical ideas can be explained without losing the reader.
How to structure an analytics problem
A sample framework for turning an open-ended question into a decision someone can act on.
Building a personal knowledge system
A sample note on keeping useful ideas retrievable without turning note-taking into another full-time project.
Hobbies
The interests that reset my attention.
Pianist
My companion when I'm alone
Badminton
Best sport for relaxation and focus, ngl
Cinephile
Storytelling through visual narratives and cinematography catches my eye
Swimming
A refreshing escape