About
Highly accomplished Data Scientist with 3+ years of experience in machine learning, predictive analytics, and data engineering, specializing in developing and deploying scalable AI solutions that drive operational efficiency and revenue growth. Proven ability to lead data science initiatives, optimize complex systems, and build robust data pipelines, complemented by product engineering expertise from a founding member role.
Work
Mumbai, Maharashtra, India
→
Summary
Leading data science initiatives to optimize operations and drive revenue growth for Mahindra Teqo Solar, leveraging ML models and predictive analytics.
Highlights
Deployed three machine learning models, reducing manual inspection hours by 70% across 50+ Mahindra Teqo solar assets by detecting thermal anomalies and scratch defects.
Architected a predictive Energy Yield Assessment tool that delivers 25-year forecasts for Mahindra Teqo Solar, slashing analysis time by 70% and driving significant revenue growth.
Led a team to develop Data Science and Analytics solutions, reducing operational costs by 15% and decreasing human effort by approximately 60% in ongoing operations and management projects.
Mumbai, Maharashtra, India
→
Summary
Optimized logistics and inventory management for Mahindra Logistics and Auto through advanced algorithms and proof-of-concept development.
Highlights
Optimized Electric Vehicle (EV) deployment for Mahindra Logistics, enhancing routing and improving customer transport efficiency.
Developed MILP and dynamic programming algorithms, optimizing parcel allocation and reducing vehicle usage.
Created a Proof-of-Concept (POC) for inventory management in Mahindra Auto, improving item arrangement based on fragility, turnaround time (TAT), and usage frequency.
Mumbai, Maharashtra, India
→
Summary
Engineered data pipelines and migrated large-scale datasets, enabling seamless data integration and advanced analytics within BigQuery.
Highlights
Engineered 5+ data pipelines for ETL, enabling seamless integration of diverse data sources into BigQuery.
Automated 10+ data workflows by orchestrating Directed Acyclic Graphs (DAGs) in Apache Airflow to ingest API data into GCP BigQuery.
Migrated large-scale datasets from SAP BW to BigQuery by crafting and optimizing over 50 advanced SQL queries.
Bengaluru, Karnataka, India
→
Summary
As a Founding Member, led product development and deployment for a video conferencing platform and client-facing portal, driving user engagement and data-driven decision-making.
Highlights
Implemented a robust video conferencing platform, supporting 100+ daily active users and ensuring smooth communication.
Deployed a client-facing portal integrated with CRM, streamlining workflows for over 500 active users.
Crafted a performance analytics dashboard, utilized weekly by 20+ stakeholders for reporting and data-driven decision-making.
Awards
AMAZON HackOn 2022 Finalist
Awarded By
Amazon
Achieved finalist status in the AMAZON HackOn 2022 hackathon.
Flipkart Grid 4.0 Qualifier
Awarded By
Flipkart
Qualified in Flipkart Grid 4.0.
IONathon Hackathon Qualifier
Awarded By
ION
Qualified in the IONathon hackathon.
Leetcode Contest Global Rank
Awarded By
Leetcode
Achieved a global rank of 1585 out of 17000+ participants in a Leetcode Contest.
Job-A-Thon Coding Competition Rank
Awarded By
Geeksforgeeks
Accomplished a rank of 63 in the Job-A-Thon coding competition organized by Geeksforgeeks.
Publications
Skills
Backend Development
Artificial Intelligence
Data Science
Languages
Java, Python, Flask, Django, C, C++, JavaScript, Go, Rust.
Frameworks/Libraries
React, TypeScript, Express.js, Node.js, Tailwind CSS.
Tools/Technologies
Git, GitHub, DevOps, Deployment, Kubernetes, Docker.
Databases
MySQL, SQLite, MongoDB, Cloudinary, BigQuery.
Machine Learning
ML Models, Predictive Analytics, Random Forest, Content-Based Filtering, Collaborative Filtering, AI Anomaly Detection.
Data Engineering
ETL, Data Pipelines, Apache Airflow, SQL Optimization, Data Workflows.
Cloud Platforms
GCP BigQuery.