---
title: "Kantha Lakshminarasimhan - Data analyst intern in Mumbai Metropolitan Region | Tal"
description: "Meet Kantha Lakshminarasimhan, Data Analyst | MSc Data Science Graduate | ERPNext Automation | Open to Full-Time Roles based in Mumbai Metropolitan Region."
image: "https://tal.club/meet/kantha/share-image"
---

# Kantha Lakshminarasimhan on Tal

## 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

[View the original profile](https://tal.club/meet/kantha)

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