---
title: "Archit Mahajan - AI Intern in Navi Mumbai | Tal"
description: "Meet Archit Mahajan, Aspiring ML & Data Engineer | Python · SQL · Machine Learning | 3 Internships across Vi, Reliance Retail, Rallis India | IEEE Published | NMIMS ’26 based in Navi Mumbai."
image: "https://tal.club/meet/archit-3/share-image"
---

# Archit Mahajan on Tal

## Headline

Aspiring ML & Data Engineer \| Python · SQL · Machine Learning \| 3 Internships across Vi, Reliance Retail, Rallis India \| IEEE Published \| NMIMS ’26

## About

Data Engineer and ML Engineer with hands\-on experience building production\-grade data pipelines and ML systems across telecom \(Vodafone Idea\), retail \(Reliance Retail\), and agri\-chemicals \(Rallis India/Tata Group\)\. At Vodafone Idea, I designed and built iRoam Assist — an automated international roaming complaint diagnosis system using Apache Kafka for real\-time streaming, PySpark for data processing, FastAPI for the backend API, and a 5\-rule diagnostic engine\. The system processes complaints from CRM, HLR, VLR, and billing systems to deliver automated root\-cause analysis to customer service agents\. At Reliance Retail, I built demand forecasting models using ARIMA \+ ML ensembles that hit 82% accuracy, directly reducing spare\-parts stockouts by 25%\. At Rallis India, I cleaned and engineered 200K\+ records, cutting model training time by 35%\. Published at IEEE ICCCNT 2024 on MST algorithm comparisons\. Open to Data Engineering, ML Engineering, and AI Engineering roles — on\-site in Mumbai/Navi Mumbai, hybrid, or remote\. Let's connect: archit\.maha@gmail\.com

## Location

Navi Mumbai

## Work experience

AI Intern at Vodafone Idea Limited, Jan 2026 \- Apr 2026 · 4 mos, Worli, Maharashtra, India, Automated complaint resolution for International Roaming using Kafka \+ PySpark, reducing manual triage by 60% Consolidated 5\+ workflows into single UI, cutting agent handling time from 8 min to 90 sec per case

Data Science Intern at Reliance Retail, Jun 2025 \- Jul 2025 · 2 mos, Ghansoli, Maharashtra, Forecasted spare\-parts demand with 82% accuracy using ARIMA \+ ML ensembles, reducing stockouts by 25%\. Built automated KPI scorecard evaluating 50\+ service centers, slashing management reporting TAT by 30%

Machine Learning Intern at Rallis India Ltd, May 2024 \- Jul 2024 · 3 mos, Wadala, Maharashtra, India, Cleaned, engineered, and preprocessed 200K\+ records, reducing missing data by 40% and improving performance\. Reduced training time by 35% through feature engineering and pipeline optimization with 78% validation accuracy

## Education

Bachelor of Technology \- BTech, Computer Engineering, Narsee Monjee Institute of Management Studies \(NMIMS\) Navi Mumbai

Don Bosco School

[View the original profile](https://tal.club/meet/archit-3)

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