---
title: "Srutik Nandaniya - AI/ML Intern in Ahmedabad | Tal"
description: "Meet Srutik Nandaniya, AI/ML Intern @Aspire Softserv | Data Science | Machine Learning | Deep Learning | NLP & LLMs | RAG Systems | Python | PyTorch | XGBoost | SQL | B.Tech CSE@ RNGPIT based in Ahmedabad."
image: "https://tal.club/meet/srutik-nandaniya/share-image"
---

# Srutik Nandaniya on Tal

## Headline

AI/ML Intern @Aspire Softserv \| Data Science \| Machine Learning \| Deep Learning \| NLP & LLMs \| RAG Systems \| Python \| PyTorch \| XGBoost \| SQL \| B\.Tech CSE@ RNGPIT

## About

Hello Everyone\! I’m a final\-year Computer Science & Engineering student focused on Data Science, Machine Learning, and AI, passionate about solving real\-world problems through data\-driven solutions\. I have hands\-on experience in data analysis, feature engineering, model building, and evaluation, along with tools like Python, SQL, XGBoost, and PyTorch\. I’ve built projects like Movie Revenue Prediction model, HostelBro, Wandora \(AI story generator\), TrackMyGesture, JivaCare\. During my Data Engineering internship \(SAP & Coursera\), I worked with SAP HANA Cloud, data modeling, and EDA dashboards\. I’m also a Smart India Hackathon Team Leader and Google Student Ambassador, with strong problem\-solving and teamwork skills\. Currently exploring NLP, Transformers, and LLMs\. Open to opportunities in Data Science & AI\. Let’s connect and build something impactful\! 🚀 📩 srutikndn@gmail\.com

## Location

Ahmedabad

## Work experience

AI/ML Intern at Aspire SoftServ, Feb 2026 \- Present · 6 mos, Ahmedabad, Key Responsibilities & Achievements: • Built and evaluated ML models \(Logistic Regression, Random Forest, XGBoost\) using F1\-score, ROC\-AUC, and cross\-validation • Developed deep learning models in PyTorch, applying backpropagation, optimization \(SGD/Adam\), and regularization techniques • Designed NLP solutions including TF\-IDF and LSTM\-based sentiment analysis models • Worked with Transformer models \(BERT, GPT\) for classification and text generation tasks • Applied LLM techniques such as prompt engineering, zero\-shot/few\-shot learning, and built a QA system using LLM APIs\.

Data Engineering Intern at SAP, May 2025 \- Jul 2025 · 3 mos, Remote, Gained hands\-on experience in SAP HANA Cloud through developing data models and provisioning datasets on SAP BTP\. Worked on data cleaning, transformation, and analysis using Python and pandas to build efficient data pipelines\. Created EDA dashboards and automated insights to support data\-driven decision\-making\.

## Education

Bachelor of Engineering \- BE, Computer Science, R\. N\. G\. Patel Institute of Technology\-RNGPIT \(An Autonomous Institute U/s UGC Act 1956\)

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

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