rohitmohite084@gmail.com
Data Science And Analyst
About me
“Data Scientist specialized in transforming raw data into actionable business intelligence. Expert in Predictive Modeling, SQL, and Power BI to drive strategic decisions.”
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Skills
Education
B.Tech in Mechanical Engineering
Bachelor’s Degree
January 16, 2021
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July 12, 2024
Gained strong analytical and problem-solving skills through engineering mathematics and core technical subjects. Developed a logical mindset that helped in transitioning to Data Analytics and Statistical Modeling.
Post Graduate Programme in Data Science and Analytics
Post Graduate Diploma / Certification
March 25, 2025
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December 31, 2025
Focused on Advanced Data Science techniques including Machine Learning, Deep Learning, and SQL. Completed hands-on projects in Customer Churn Prediction and Risk Analytics. Mastered tools like Python (Pandas, Scikit-learn), Power BI, and Tableau.
Projects
Customer Churn Project
I’m excited to share my latest project: a Customer Churn Prediction System designed to bridge the gap between complex data science and business decision-making. Using a 19-feature deep analysis, this app identifies at-risk customers in real-time, providing actionable insights like "Offer Discounts" or "Review Tech Support." Key Highlights: Interactive Dashboard: Built with Streamlit and Plotly for high-precision risk visualization. Smart Automation: One-click presets for High/Low-risk profiling. Tech Stack: Python, Scikit-Learn, Pandas, and Streamlit. 🔗 Live Demo: customer-churn-prediction-project-78.streamlit.app
MNIST Digit Recognition Project
Building a bridge between Computer Vision and User Interaction. This project features a Deep Learning model trained on the MNIST dataset to recognize handwritten digits with high accuracy. Integrated with a Streamlit frontend, it allows users to see the power of Neural Networks in real-time. Model Architecture: Multi-layer Perceptron (MLP) built with TensorFlow and Keras. Real-time Prediction: Optimized for instant digit classification from user-provided inputs. Data Science Workflow: Includes data normalization, model training, and seamless deployment. 🚀 Live Demo: mnist-digit-recognition-project.streamlit.app
Global Superstore Dashboard
A comprehensive Data Visualization and Business Intelligence project analyzing 10,000+ records of the Global Superstore dataset. This dashboard transforms raw retail data into a 360-degree executive view, enabling data-driven decisions for sales growth, profit monitoring, and operational efficiency across global markets. Executive Summary: Real-time tracking of high-level KPIs like Total Sales, Profit, and Quantity. Geographic Insights: Interactive mapping of performance trends across different Countries and States. Strategic Deep-Dive: Analysis of Product Categories (Technology, Furniture, etc.) and Customer Segments to identify high-margin opportunities. Operational Analytics: Shipping mode efficiency and Q4 seasonal trend forecasting. Tech Stack: Dashboarding: Power BI / Desktop Data Engineering: SQL & Power Query (Data Cleaning & Transformation) Analysis: Trend Analysis & Customer Segmentation