I'm a Business Analyst and BI & automation consultant based in Coimbatore, working across enterprise and consulting environments. My core work is translating business requirements into scalable systems — requirements gathering, stakeholder workshops, BRD/FRD documentation, and KPI reporting frameworks.
Automation is my second layer: once I understand how a process runs, I build the Python, n8n, and REST API workflows that take the manual work out of it.
That combination has taken me from enterprise banking support at Cognizant to running consulting engagements for medical device distributors, retail chains, and SMEs across Coimbatore.
After completing my MSc in Digital Management & Data Analytics in Iceland and building custom pipelines as a freelance consultant, I am eager to return to a structured, full-time engineering and analyst role.
I miss the synergy of cross-functional team environments and the challenge of managing enterprise-scale systems. I am looking to bring my combined backend automation experience and advanced analytics training back to a dedicated team where we can design long-term, high-impact data solutions together.
Problem: Stock was tracked manually across SKUs, risking stockouts, expiry write-offs, and delayed reordering.
Solution: Built an automation layer for real-time inventory tracking with low-stock alerts and rule-based reorder workflows.
Impact: Fewer stockouts, expiry losses, faster reorder turnaround, and a single reliable source of truth.
Problem: Inventory data was scattered across local spreadsheets and source systems, with no unified view for decision-making.
Solution: Designed ETL pipelines to pull/clean data, feeding KPI dashboards built for real-time tracking and planning.
Impact: Moved from manual stock checks to live dashboards, improving planning accuracy and cutting reporting time.
Problem: Multi-brand FMCG distributor with isolated ERPs; vehicles delivered different brands to the same store 3-4 times a week.
Solution: Built a data integration layer to consolidate orders across ERPs and dynamically optimize dispatch schedules.
Impact: Enabled a single vehicle to deliver all ordered brands on the same day, slash transport overhead, and optimize routes.
Problem: Member records, meeting schedules, and minutes managed manually with no structured engagement tracking.
Solution: Built platform with AI-powered transcript summarization to auto-generate minutes, plus automated reminders.
Impact: Minutes are generated automatically instead of typed manually, and automated reminders keep engagement consistent.
Problem: 31 grocery stores and 11 SMEs relied on manual counts and paper reporting; 3 clients had no way to sell online.
Solution: Engineered Python/n8n/API workflows and BI dashboards, and launched Shopify storefronts for online sales.
Impact: Manual reporting removed across 42 businesses, and 3 clients gained a live online sales channel.
Problem: Early, accurate diagnostic prediction of Parkinson's disorder from biomarker voice datasets.
Solution: Built classification model using feature engineering and data transformation to analyze biomarker records.
Impact: Academic step in applied machine learning that informs data-driven decision support.
Open to freelance consulting, full-time roles, and interesting data challenges.