
Dynamic marketing and data analytics professional with hands-on experience at Muskurahat Foundation and Bharattuition. Proficient in SQL and digital marketing, I excel in problem-solving and effective communication. Successfully developed improvement plans that enhanced project outcomes, showcasing my ability to leverage technology for impactful results.
1.Crime Rate Prediction using AI and ML, 12/01/24, 01/31/25, Designed and implemented a Crime Rate Prediction model using Python, Pandas, and NumPy to process and analyze 10+ years of crime data, achieving 82% accuracy in forecasting trends. Leveraged SQL to extract and integrate data from public crime databases, applied Scikit-learn with Random Forest for predictive modeling, and optimized model performance. Created interactive dashboards using Power BI to visualize crime patterns and hotspots, effectively presenting actionable insights to stakeholders.
2. Weather based Support System For Farmer(using machine learning), 05/01/25, Present, Developed a Weather-Based Support System for Farmers using Python, Pandas, and NumPy to process and analyze 5+ years of weather and crop yield data, achieving 80% accuracy in predicting optimal planting schedules. Utilized SQL to extract data from NOAA weather APIs and regional agricultural databases, implementing Random Forest models with Scikit-learn to forecast crop outcomes based on weather patterns. Optimized model performance through Grid Search and visualized insights with Power BI dashboards, delivering actionable planting and irrigation recommendations to farmers.