Professional Summary

Data Analyst and Strategy professional with 3+ years of experience turning complex business problems into data-driven decisions. Currently working in the e-commerce domain, leveraging data to understand customer behaviour, identify opportunities, and build strategies that drive growth.

I combine strong engineering foundations with analytical thinking — building internal tools, automating reporting pipelines, and deploying AI to make smarter decisions faster. Some highlights include:

  • Led GA4 audit and fixed broken tracking infrastructure for an e-commerce operation.
  • Built an AI-powered call audit tool that boosted audit throughput by 75%.
  • Designed a lead auto-allocation engine that cut contact time from 4 hours to 22 minutes.
  • Automated compliance and financial reporting pipelines, eliminating manual overhead.

I thrive at the intersection of data, strategy, and technology — whether it’s analysing funnels, designing resilient data systems, or shipping tools that make a real difference. Clean thinking, scalable design, and continuous iteration are my north star.

Experience Timeline

U.V. Patel College of Engineering, Ganpat University

CGPA: 9.3/10 (Ranked 4th in university)

Developed deep interest in algorithms, data structures, and operating systems.

Final year project:

    Built a self-driving RC car using Raspberry Pi. Collected driving data and trained a CNN to autonomously navigate unseen terrain.

Reached National Finals in Smart India Hackathon 2017, working on civic-tech solutions.

Actively involved in student life — organized and hosted cultural fests, performed in dramas and mime, and competed in tennis and swimming events.

Volunteered with NSS, contributing to community outreach programs and events.

Indian Institute of Technology (IIT), Bhubaneswar

CGPA: 8.5/10 (Top 3 in class)

Cracked GATE 2020 with an All India Rank of 400, earning admission to one of India’s top IITs.

Served as a Teaching Assistant, contributing to course design, grading, and mentoring B.Tech students.

Specialized in AI and machine learning

Published research at the 2023 IEEE Conference on Games:

    “Visual Attention Assisted Games” — Developed deep learning models integrating temporal and spatial attention to improve reinforcement learning in ATARI environments.

Cemented strong foundations in systems, algorithms, and research methodology.

Started as a Data Scientist

  • Built internal dashboards for Finance, Compliance, Academics, and Sales using Google Sheets, AWS Lambda, RDS, MongoDB, and Looker.
  • Translated complex business needs into automated, real-time data solutions.

Transitioned to SDE-1

Took ownership of AI/ML and backend systems:

  • Developed an AI-powered Call Audit Platform that scored calls automatically, increasing daily audits by 75%.
  • Built a lead scoring system using behavioral and demographic data to prioritize sales outreach.
  • Created a Retrieval-Augmented Generation (RAG) chatbot with Elasticsearch + LLMs to resolve student queries in real time.
  • Engineered an AI IVR system with dynamic prompts and logic to qualify and route leads automatically.
  • Designed data pipelines and unified warehouse systems connecting DynamoDB, RDS, Elasticsearch, and MongoDB for enterprise visibility.
  • Led development of tools that cut lead contact time by over 90%, from 4 hours to just 22 minutes.

Promoted to SDE-2

Focused on system design, scalability, and engineering leadership:

  • Designed infrastructure to support multi-domain internal tools with reliability and modularity.
  • Mentored and successfully transitioned interns to full-time roles, conducting regular code reviews and growth sessions.
  • Acted as a bridge between tech and business, gathering requirements from stakeholders and translating them into executable product specs.
  • Acquired a deep understanding of startup operations, contributing product ideas that supported growth initiatives across departments.
  • Represented the tech team at organisational forums, communicating technical progress and priorities to leadership.
  • Dynamic Curriculum Planning System — Day-by-day lesson tracking showing what is on time, lagging, or ahead of schedule. Automatically adjusts the plan and supports creating vacations, exams, and other events via presets or manually.
  • Customer Journey Platform — Backend of an internal CRM tracking calls, ad interactions, and app usage per lead/customer. Enabled the sales team to understand real-time customer behaviour while maintaining privacy controls.

Starlink Qatar (starlinkworld.com) — E-commerce team

Working as an analyst embedded in the e-commerce team, leveraging data and AI to drive decisions and strategy.

  • Conducted a full GA4 audit, identified and fixed broken tracking across the storefront — restoring visibility into the customer funnel.
  • Developed an internal Order Management System with a proper audit trail, enabling warehouse executives and customer care to work on orders and check statuses in real time.
  • Currently working on end-to-end order tracking from vendor to customer, bringing clean, reliable data into the system.

Tech Stack

Programming Languages

Python
PHP
JavaScript
HTML/CSS
SQL

Frameworks & Libraries

Flask
Google App Scripts

Databases & Search

MySQL
MongoDB
Redis
Elasticsearch
DynamoDB

Cloud & DevOps

AWS (Lambda, EC2, S3, RDS)
Docker
Git

Data Engineering & Visualization

AWS Data Lake
Looker Studio
Google Sheets

AI / ML Tools

LLM
RAG
CNN

Communication & Misc

Twilio IVR
Meta communication APIs