---
title: "Dishi Roy - IBM Summer Project in Bhopal | Tal"
description: "Meet Dishi Roy, Aspiring Data Analyst | Exploring Data Science & Data Engineering | Python | SQL | ML | Real-World Data Projects | Open to Internships based in Bhopal."
image: "https://tal.club/meet/dishi/share-image"
---

# Dishi Roy on Tal

## Headline

Aspiring Data Analyst \| Exploring Data Science & Data Engineering \| Python \| SQL \| ML \| Real\-World Data Projects \| Open to Internships

## About

I am an aspiring Data Analyst with interests in Data Science and Data Engineering, focused on turning data into meaningful insights\. I am currently building real\-world data projects involving data analysis, machine learning, and problem\-solving\. I serve as an NEP Saarthi Student Ambassador and a Board of Studies member at GD Goenka University, contributing to academic and student initiatives\. I have completed an internship at the Avishkar Centre for Innovation and Incubation at GD Goenka University, where I gained exposure to innovation\-driven environments and practical problem\-solving\. I am skilled in Python, SQL, and data analysis, and I am actively seeking internships and opportunities where I can apply my skills to solve real\-world problems and grow as a data professional\.

## Location

Bhopal

## Work experience

IBM Summer Project at IBM, Jun 2025 \- Aug 2025 · 3 mos, • Built a predictive machine learning model on the Titanic dataset to classify passenger survival using supervised learning techniques\. • Performed data cleaning and preprocessing including handling missing values, encoding categorical variables, and feature scaling\. • Conducted exploratory data analysis \(EDA\) to identify key survival factors such as age, gender, and passenger class\. • Implemented models like Logistic Regression, Decision Tree, and Random Forest, and compared their performance\. • Achieved improved prediction accuracy through feature engineering and hyperparameter tuning\. • Utilized Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit\-learn for analysis and model building\.

Summer Intern at GD Goenka University, Jun 2025 \- Jul 2025 · 2 mos, Gurugram, • Developed a machine learning\-based model to predict real estate prices using Python and regression techniques\. • Performed data preprocessing, cleaning, and Exploratory Data Analysis \(EDA\) to identify key factors influencing property prices\. • Built and evaluated predictive models to improve accuracy and generate reliable price estimates\. • Designed a basic recommendation system to suggest properties based on user preferences and data insights\. • Utilized libraries such as Pandas, NumPy, and Matplotlib for data analysis and visualization\.

IBM Social Internship Project at IBM, Jun 2024 \- Aug 2024 · 3 mos, • Analyzed employee attrition dataset to identify key factors influencing employee turnover using data\-driven techniques\. • Performed data preprocessing including handling missing values, encoding categorical features, and outlier detection\. • Conducted exploratory data analysis \(EDA\) to uncover trends related to job satisfaction, salary, work\-life balance, and tenure\. • Built and evaluated classification models such as Logistic Regression and Decision Tree to predict employee attrition\. • Identified critical drivers of attrition and provided actionable insights to improve employee retention strategies\. • Created data visualizations and dashboards using Matplotlib/Seaborn to effectively communicate findings\. • Tools used: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit\-learn

## Education

Bachelor of Technology in Computer Science Engineering, Data Science, GD Goenka University

[View the original profile](https://tal.club/meet/dishi)

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