---
title: "Akash Jaiswal - Data Analytics Intern | IIT Roorkee (Marketing) in Sitapur | Tal"
description: "Meet Akash Jaiswal, Data Scientist | Final year Student @ IIT Roorkee | Machine Learning & Analytics | Python • SQL • Deep Learning | Actively Seeking 2026 Data Science Roles based in Sitapur. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/akash-jaiswal/share-image"
---

# Akash Jaiswal on Tal

## Headline

Data Scientist \| Final year Student @ IIT Roorkee \| Machine Learning & Analytics \| Python • SQL • Deep Learning \| Actively Seeking 2026 Data Science Roles

## About

Final\-year Integrated M\.Tech student at IIT Roorkee, passionate about turning raw data into real\-world impact\. I specialize in end\-to\-end machine learning from messy datasets to deployed, production\-ready models\. Ranked Top 25 globally \(top 2%\) in the Shell AI Hackathon among 1,500\+ teams\. I enjoy solving problems where data meets business identifying patterns, building interpretable models, and delivering insights that decision\-makers can actually act on\. Currently open to Data Science / ML roles , full\-time or internships starting early 2026\. 📩 a\_jaiswal@es\.iitr\.ac\.in

## Location

Sitapur

## AI stack

antigravity

codex

cursor

## Work experience

Data Analytics Intern \| IIT Roorkee \(Marketing\) at Indian Institute of Technology, Roorkee, Jun 2025 \- Jul 2025 · 2 mos, IIT Roorkee, Developed a churn prediction model for 5,630 customers using XGBoost and Random Forest, achieving 0\.92 ROC\-AUC\.

Data Science Intern \| IIT Roorkee at Indian Institute of Technology, Roorkee, Jan 2025 \- Feb 2025 · 2 mos, On\-site, Engineered 31 features from 10,683 flight records using custom sklearn transformers \(RBF similarity, target encoding, datetime decomposition\); selected top 11 via SelectBySingleFeaturePerformance\. Tuned Random Forest & XGBoost with 5\-fold GridSearchCV on R2 and Adjusted R2; best XGBoost \(lr=0\.1, depth=3\) achieved Test R2 = 0\.74, MAE = Rs\. 1,635\. Deployed real\-time price predictions via a Streamlit web application with a serialized joblib preprocessor pipeline and pickle model\.

## Education

Integrated Mtech, Geophysical Technology, Indian Institute of Technology, Roorkee

12th, Science, Jawahar Navodaya Vidyalaya \- JNV

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

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