I’m passionate about leveraging Data Science, AI, and Machine Learning to solve real-world problems. With a strong foundation in statistics, data analysis, and predictive modeling, I enjoy turning raw data into meaningful insights and impactful applications.
- Machine Learning Projects: Building predictive models for healthcare, fraud detection, and agriculture.
- Data Visualization: Creating effective insights using Tableau, Matplotlib, and Seaborn.
- SQL & Databases: Strengthening expertise in MySQL and relational database management.
- Advanced Machine Learning: Model optimization, deep learning fundamentals.
- Generative AI for Data Science: Exploring AI-driven tools to automate analysis.
- Big Data Handling: Working with larger datasets and performance optimization.
- Data Science & Analytics Projects: Exploratory data analysis, predictive modeling, dashboards.
- AI & ML Applications: Projects applying machine learning to healthcare and finance.
- GitHub Projects: Portfolio
- Resume: View My Resume
- LinkedIn: Hemalatha Muchumarri
- Smart Heart Disease Detection → ML models to detect heart disease with improved accuracy (+10%), deployed via a web app.
- Satellite Image-Based Crop Recommendation System → Recommends crops using satellite imagery, weather, and ML (Random Forest, CNN).
- Online Payment Fraud Detection → Decision Tree model detecting fraud transactions with 93% accuracy.
- Online Food Delivery Website → Built a functional food ordering platform with HTML, CSS, JS.
- Machine Learning Intern – Acmegrade Pvt Ltd → Trained ML models (SVM, KNN), improved accuracy by 10%, optimized data preprocessing and evaluation.
- Web Development Intern – Oasis Infobyte → Designed and developed frontend components for client websites using HTML, CSS, JS.
- Data Science & Analytics → Statistics, ML models, EDA.
- Data Visualization → Tableau, Seaborn, Matplotlib.
- AI & ML Applications → Predictive analytics, classification, healthcare solutions.
To contribute as a Data Scientist, applying data-driven insights and AI to solve complex challenges in healthcare, finance, and agriculture.