Soham Chogale

Movie-Review. This project is a Movie Review Sentiment Analysis App built with Python, Scikit-learn, and Streamlit. It classifies user-submitted movie reviews as Positive 😊 or Negative 😞 in real time.

Real-Life-Project-Based-on-Automobile-Industry-. Post-COVID auto sector analysis using ML & Game Theory. Case study on major automobile companies to forecast demand (Linear Regression, Random Forest, XGBoost), optimize production with LP, and model competition via Nash Equilibrium. Prevents overproduction, cuts inventory losses, boosts profits.

BMW-Dashboard. This project is a Power BI dashboard designed to analyze and visualize BMW’s sales and revenue data across different regions, models, and channels.

HDFC-Dashboard. This repository contains an interactive HDFC Dashboard built in Tableau, integrating data from Google Sheets and Excel Sheets. The dashboard provides insights into various HDFC entities, color-coded for clarity and easy navigation.

Stock-Market-Prediction. This project is a Stock Market Prediction App built using Python, Keras, Streamlit, and yFinance. It predicts stock prices based on historical data and visualizes trends with moving averages and ML-based predictions.

PowerBI-Project. Sales Data Analysis Dashboard – Power BI Project

PowerBI-Project-II. Insurance Data Analysis - PowerBI Project

Auto-Sector---Dashboard. Automobile Industry Dashboard: Sales, Profit & Valuation Insights

AutoMobile-Dashboard. Automobile Market Analytics: Sales, Pricing & Efficiency Dashboard

PowerBI-Project-III. UPI Transactions Analytics Dashboard – Power BI Project

Soham005. I’m an aspiring Data Analyst focused on building real-world, impact-driven solutions using data. With hands-on internship experience, I bridge business needs with technical execution — combining analytics, visualization, and machine learning to drive insights.

LeetCode. Solving TOP-SQL-50 problems in LeetCode to overall improve and practice with my SQL learnings

machine-learning-roadmap. A structured roadmap for learning Machine Learning, from Python basics and essential math to core ML algorithms and advanced deep learning. Focused on practical application, progression flow, and efficient learning. 🚀 Learn by need, not by FOMO.

Spotify-Dashboard. This project analyzes the Spotify Top 50 Global playlist data and presents it through an interactive Power BI dashboard. It helps visualize trends in popularity, artists, genres, and track performance in a simple and engaging way.

Financial-News-Sentiment-Analysis. Python

Gesture-Based-Music-Control-System. 🎵 Gesture-Based Music Control System Control your system music using hand gestures in real-time through your webcam.

Data_Augmentation_DL. Understanding Average Pooling Beyond the Formula Compared pooled outputs across multiple image augmentations. Conclusion: robustness comes from learning, not pooling.

Agriculture-Crop-Planning. 🌾 Climate-Sensitive Crop Planning using Markov Decision Process (MDP) An interactive Streamlit-based simulation that models optimal crop selection under uncertain rainfall conditions using Markov Decision Process (MDP) and Value Iteration. This project demonstrates how climate variability and soil dynamics influence long-term agricultural plans

Sales-Overview-Dashboard.

Python-LeetCode.

Amazon-Dashboard.

basic-Image-processing-. Jupyter Notebook

Python-Basics-to-Advanced. A complete Python learning repository covering everything from basics to advanced concepts, including data structures, functions, OOP, modules, file handling, exception handling, data analysis, databases, and logging. Perfect for beginners, intermediates, and aspiring Python developers to learn, practice, and build real-world projects.

Overview-Sales-Orders-Superstore-Dashboard.

Vehicle-Service-Due-Chatbot. An interactive, ChatGPT-style vehicle service chatbot built using Streamlit and Python. This application guides users step-by-step to check their vehicle’s service health, calculate service due risk, estimate costs, and receive maintenance recommendations.

Bert-Fake-News. A real-time financial news sentiment analysis web application built using Streamlit, NewsAPI, and Natural Language Processing. This app fetches the latest financial news headlines for a selected company and performs sentiment analysis to determine whether the overall news sentiment is Positive, Negative, or Neutral.