---
title: "Dinisha Jain - Data Science Intern in Mumbai Metropolitan Region | Tal"
description: "Meet Dinisha Jain, AI/ML Engineer | NLP · Deep Learning · Recommender Systems | PyTorch · TensorFlow · Scikit-learn | Built Models with 87% Accuracy & 22% Performance Gain based in Mumbai Metropolitan Region."
image: "https://tal.club/meet/dinisha-jain/share-image"
---

# Dinisha Jain on Tal

## Headline

AI/ML Engineer \| NLP · Deep Learning · Recommender Systems \| PyTorch · TensorFlow · Scikit\-learn \| Built Models with 87% Accuracy & 22% Performance Gain

## About

I build AI systems that solve real problems — from NLP pipelines and recommendation engines to predictive analytics in healthcare\. My recent work includes a Spotify recommendation system using LSTM \(22% accuracy improvement\), election outcome models with 87% accuracy using XGBoost and Random Forest, and an NLP\-driven mental health assistance system with emotion detection and risk scoring\. I bring hands\-on experience across the full ML lifecycle: data preprocessing, model training, hyperparameter tuning, SHAP\-based explainability, and evaluation with precision/recall/F1 metrics\. I work primarily in PyTorch, TensorFlow, and Scikit\-learn\. Research interest areas: deep learning \(LSTM, Transformers\), NLP, recommender systems, and applied AI in healthcare\. Currently seeking roles in ML engineering, AI research, or applied AI development\. 📩 dinishajain4@gmail\.com

## Location

Mumbai Metropolitan Region

## Work experience

Data Science Intern at The Developers Arena, Jan 2026 \- Present · 5 mos, India, • Applied EDA and statistical analysis to extract insights from structured datasets using Python • Built visualizations \(Matplotlib, Seaborn\) to communicate trends to stakeholders • Assisted in predictive modeling workflows including data cleaning, feature selection, and model evaluation • Collaborated remotely with mentors to scope and deliver data\-driven analytical solutions

Artificial Intelligence and Machine Learning Intern at Zeno Talent, Dec 2025 \- Present · 6 mos, Remote \(Online\), • Developed and evaluated supervised/unsupervised ML models on real\-world datasets using Python, PyTorch, and Scikit\-learn • Reduced model error by 18% through hyperparameter tuning on tabular sales/HR/\[actual\] dataset • Delivered EDA reports for churn prediction / classification task

Machine Learning Intern at Cognifyz Technologies, Feb 2026 \- Mar 2026 · 2 mos, Maharashtra, India, • Performed data preprocessing, feature engineering, and exploratory data analysis to extract insights • Conducted hyperparameter tuning and cross\-validation to improve model performance and generalization • Analyzed model performance using evaluation metrics such as precision, recall, and F1\-score • Conducted comparative analysis across multiple algorithms to study performance trade\-offs • Documented experiments, workflows, and findings to ensure reproducibility and research clarity

UI/UX Design Intern at Future Interns, Jan 2026 \- Feb 2026 · 2 mos, Remote \(online\), Working as a UI/UX Design Intern on real\-world, task\-based projects focused on startup websites and SaaS dashboard design\. Designed and documented multiple industry\-aligned UI/UX projects, including: A conversion\-focused startup website for ChatPanda \(Chat \+ Social \+ AI platform\) A CRM / SaaS dashboard UI for managing leads, clients, and follow\-ups Workflow\-based UX design following real agency and B2B SaaS practices Responsibilities include: UX thinking and information architecture Designing clean, scalable UI layouts Applying SaaS and dashboard UX principles Creating portfolio\-ready case studies and documentation Tools used: Figma, Canva, GitHub This internship focuses on practical product design, usability, and business\-oriented UX rather than purely visual design\.

Machine Learning Intern at Future Interns, Dec 2025 \- Jan 2026 · 2 mos, India, • Gained hands\-on experience in Machine Learning concepts and workflows • Worked with data preprocessing, model training, and evaluation • Applied Python for data analysis and ML implementation • Strengthened problem\-solving and analytical skills through practical tasks

Intern at Flipkart, May 2025 \- Jul 2025 · 3 mos, Gained practical knowledge in warehouse operations, inventory management, and logistics\. Trained in supply chain workflows including inbound, storage, outbound, and reverse logistics\. Demonstrated high performance and completed the program with certification\.

## Education

Bachelor's Degree, Computer Science, Kalyan Wholesale Merchants Education Societys Laxmen Devram Sonavane College of Arts & Commerce At Kalyan Dist Thane

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

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