Archit Mahajan

AM

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Archit Mahajan

@architmahajan

Machine learning and data science intern building scalable ML-driven applications and forecasting models.

What I'm looking for

I’m looking for opportunities where I can build ML-driven products end-to-end—cleaning data, training forecasting models, and shipping scalable applications—while collaborating closely with engineering teams to deliver measurable real-world impact.

I’m a Machine Learning-focused Computer Engineering student who’s built hands-on, production-minded solutions through internships at Reliance Retail, Rallis India, and Vodafone Idea Limited. I enjoy taking messy data through preprocessing and feature engineering, then turning it into forecasting and automation that measurably improves outcomes.

At Vodafone Idea Limited, I automated complaint resolution for International Roaming using Kafka + PySpark, reducing manual triage by 60%. I also consolidated 5+ workflows into a single UI, cutting agent handling time from 8 minutes to 90 seconds per case.

At Reliance Retail, I forecasted spare-parts demand with 82% accuracy using ARIMA + ML ensembles, reducing stockouts by 25%. I built an automated KPI scorecard for 50+ service centers, slashing management reporting TAT by 30%.

At Rallis India, I cleaned, engineered, and preprocessed 200K+ records, reducing missing data by 40% and improving model performance while reducing training time by 35%. I also publish research (IEEE paper on Prim’s vs. Kruskal’s MST) and build projects like an AI-Powered Company Valuation System, plus a real-time MERN real estate marketplace with secure authentication.

Experience

Work history, roles, and key accomplishments

VL

AI Intern

Vodafone Idea Limited

Jan 2026 - Apr 2026 (3 months)

Automated international roaming complaint resolution using Kafka and PySpark, reducing manual triage by 60% and cutting agent handling time from 8 minutes to 90 seconds per case. Consolidated 5+ workflows into a single UI to streamline operations.

Kafka Pyspark Python Workflow Automation Data Pipelines Stream Processing UI Consolidation Operational Analytics

RR

Data Science Intern

Reliance Retail

Jun 2025 - Jul 2025 (1 month)

Forecasted spare-parts demand with 82% accuracy using ARIMA and ML ensembles, reducing stockouts by 25%. Built an automated KPI scorecard for 50+ service centers, cutting management reporting turnaround time by 30%.

ARIMA Forecasting KPIs Python Data Analytics Automation SQL

RL

Machine Learning Intern

Rallis India Limited

May 2024 - Jul 2024 (2 months)

Cleaned and preprocessed 200K+ records, reducing missing data by 40% and improving model performance. Reduced training time by 35% through feature engineering and pipeline optimization while achieving 78% validation accuracy.

data preprocessing Data Cleaning Data Pipelines Model Training Optimization Validation Python

Education

Degrees, certifications, and relevant coursework

SU

SVKM’s NMIMS Deemed to be University

Bachelor of Technology, Computer Engineering

2022 -

Grade: CGPA: 3.43 / 4.00 (Till Semester 7)

Bachelor of Technology in Computer Engineering (2022–2026), maintaining a CGPA of 3.43/4.00 through Semester 7.

Tech stack

Software and tools used professionally

GitHub

NumPy

Pandas

PySpark

MySQL

MongoDB

Node.js

Tailwind CSS

React

JavaScript

Python

CSS 3

scikit-learn

Kafka

Docker

SQL

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