Data Scientist | Machine Learning | Analytics | Python | SQL
I’m a Data Science graduate student at Montclair State University with hands-on experience building end-to-end machine learning and analytics solutions. I specialize in transforming complex datasets into scalable models, interactive dashboards, and actionable business insights.
- Machine Learning Models (Classification, Regression, Clustering)
- Data Mining & Pattern Discovery (Apriori, Sequential Mining)
- Fraud Detection & Imbalanced Data Handling (SMOTE, PCA)
- Deep Learning (CNNs, MLPs – PyTorch)
- Geospatial & Interactive Data Visualization
- SQL & Relational Database Systems
Built classification, regression, and clustering models to analyze audio features and predict song popularity. Compared Decision Trees, Random Forest, Linear Regression, and K-Means with robustness testing.
Analyzed 39,000+ crash records using Python, Plotly, and geospatial visualization to uncover temporal and environmental risk patterns.
Developed a complete data preprocessing workflow handling severe class imbalance (SMOTE), feature scaling, and PCA dimensionality reduction.
Implemented and benchmarked MLPs and CNNs using PyTorch, comparing optimizers, activation functions, and classical ML baselines.
Languages: Python, SQL
ML & Data Libraries: Scikit-Learn, TensorFlow, PyTorch, Pandas, NumPy
Visualization: Plotly, Seaborn, Matplotlib, Power BI
Databases: MySQL
Core Areas: Machine Learning, Feature Engineering, Model Evaluation, Data Mining, EDA
LinkedIn: www.linkedin.com/in/vinayak-vemula-ba3a26206
Email: vinayakvemula09@gmail.com