Rahul S Kobal

About Me

I am Rahul S Kobal, currently pursuing a Master of Computer Applications (MCA) at Dayananda Sagar University. My academic and project experience focuses on Data Analytics, Data Science, Artificial Intelligence, Machine Learning, and Software Development. I have worked on predictive analytics, machine learning models, web applications, and real-world technology solutions including IoT-enabled systems. My current areas of interest include Artificial Intelligence, Retrieval-Augmented Generation (RAG), Data Analytics, Machine Learning, Cybersecurity, and modern software development.

Education & Experience

2024 - 2026

Master of Computer Applications (MCA)

Dayananda Sagar University

Focusing on software engineering, cloud systems, and data-driven intelligence. Currently pursuing.

2024 (3 Mos)

Data Science Intern

AiVariant, Bengaluru

Worked on Customer Personality Analysis. Preprocessed data, evaluated ML regression and classification models (Linear Regression, Random Forest, XGBoost, SVM), and built Streamlit web apps.

2020 - 2023

Bachelor of Computer Applications (BCA)

Krupanidhi Group of Institutions

Studied fundamental programming languages, object-oriented designs, database systems, and algorithms.

2018 - 2020

Pre-University Education (Commerce - SCBA)

Krupanidhi PU College

Completed higher secondary education with a focus on business studies, computer science, Statistics and Accountancy.

Technical & Professional Skills

Data Science & AI

Machine Learning AI Fundamentals Deep Learning Neural Networks Data Analysis Data Cleansing Data Visualization NLP Statistics

Software Development

Python R Language JavaScript Flask Streamlit NumPy Pandas Matplotlib Seaborn

Databases & Big Data

MongoDB Atlas MySQL SQL RDBMS Spark Hadoop

Tools & Platforms

Git GitHub VS Code Power BI Excel PowerPoint

Networking & Security

Networking Network Support Network Security Cybersecurity

Professional Skills

Communication Customer Relations Problem Solving Process Management

Projects

IoT & Cloud

Jal Setu

A full-stack web platform that digitizes private water tanker delivery in urban India. Built with Flask, MongoDB, and Bootstrap 5, featuring customer/supplier dashboards, automated midnight capacity reset, and ESP32 IoT sensor integration for automated booking. Provisional patent filed.

Machine Learning

Virat Kohli T20 Score Prediction

An interactive Streamlit application that predicts expected T20 scores based on opponent and venue using historical match data and machine learning regression models. Displays supporting charts for visual context.

Data Science

Customer Personality Analysis

Developed regression and classification models (Linear Regression, Random Forest, XGBoost, SVM) to analyze a company's ideal customers and support product modification decisions. Deployed as a Streamlit web application.

Web App

Smart Water Supply Management

A centralized management dashboard designed to streamline water booking, supplier coordination, and delivery tracking through an interactive interface.

Data Analytics

Data Analytics & Dashboarding

Data cleaning, statistical analysis, and interactive report dashboards created using Python, Power BI, and Excel to extract actionable business insights from complex datasets.