Headline

Data Analyst | MSc Data Science Graduate | ERPNext Automation | Open to Full-Time Roles

About

I turn messy, real-world business data into automated systems that actually run on their own. I'm an MSc Data Science graduate with hands-on, production-grade experience from a 6-month internship at Electrolab India Pvt. Ltd., where I designed and deployed Python automation systems integrated directly with ERPNext — not dashboards sitting in a notebook, but tools that ran on schedules and were used by real teams. Some of what I built: an MRP planning engine with recursive BOM explosion and statistical safety stock modeling; a KPI incentive calculator scoring 4 engineer roles across 8 KPIs, pulling from 7 live API sources; a warehouse stock optimizer covering 16 locations; and automated pipelines for HR attendance, SLA reporting, and finance journal entries (118 balanced entries, zero manual entry). What ties it together is a habit of catching the small data issues — a wrong join, a duplicate ID, an off date field — before they turn into a wrong number someone makes a decision on. I'm based in Mumbai and currently open to full-time Data Analyst / Business Analyst roles. Keywords: Data Analyst | Business Analyst | Python | SQL | Power BI | Tableau | ERPNext | REST API | Process Automation | Data Science

Location

Mumbai Metropolitan Region

Work experience

Data analyst intern at Electrolab Group, Dec 2025 - Jun 2026 · 7 mos, Navi Mumbai, Built and deployed production-grade Python automation systems integrated directly with ERPNext, used by real teams across planning, operations, HR, and finance. • Designed an MRP Planning Engine (~1,700 lines) with recursive BOM explosion down to leaf-level components, statistical safety stock modeling, and live ERPNext REST API integration for accurate material requirement planning. • Built a Warehouse Stock Optimizer covering 16 locations, performing rolling consumption analysis and auto-distributing region-specific reorder reports via email. • Developed a Weekly KPI Incentive Calculator scoring 4 engineer roles (SE, SrSE, ASE, ASM) across 8 KPI dimensions, pulling data from 7 concurrent API sources, with dual-ID resolution and territory hierarchy mapping into a single unified Excel report. • Created a Monthly SLA & Staffing Reports pipeline using BFS-based territory hierarchy traversal, with automated regional email dispatch. • Automated HR attendance workflows for two ERPNext instances (EIPL and SIPL) using n8n to manage workflow state transitions, removing manual processing. • Built a Capital Gains Journal Entry automation script generating 118 balanced accounting entries via REST API, eliminating manual bookkeeping. Tech stack: Python (Pandas, NumPy), ERPNext REST API, OpenPyXL, n8n, Windows Task Scheduler, SQL, Excel. Took each system from prototype to production — validating on single records before full runs, and catching data issues (duplicate IDs, wrong joins, bad date fields) before they reached decision-makers

Education

MSC data science, Dy Patil ACS Pimpri

Bsc, Statistics, Bhavans College