M.Sc. Data Science student at Christ University, Bengaluru | Aspiring Data Scientist passionate about building impactful, data-driven solutions.
Skilled in Machine Learning, Data Analytics, and AI, with experience in crime forecasting, NLP, and medical prediction projects.

• 🔬 Currently exploring Spatiotemporal ML Models for crime forecasting
• 📊 Strong foundation in Mathematics, Statistics, and Data Science
• 💻 Experienced with Python, SQL, Machine Learning, Tableau, Power BI, and Git
• 📝 Former Head of Content Writing (Youthopia 2023) & active in academic communities
• 🚀 Always learning and sharing knowledge in AI, Deep Learning, and Data Science research

Languages & Libraries
Python | SQL | Pandas | NumPy | Scikit-learn | NLTK

Machine Learning & AI
Classification | Regression | Ensemble Models | Spatiotemporal Forecasting | NLP

Visualization & Analytics
Tableau | Power BI | Excel | Matplotlib | Seaborn

Platforms & Tools
Jupyter Notebook | Google Colab | Git | Google Sheets

• Developed a unified forecasting framework combining Prophet, Random Forest, and Ensemble models
• Achieved R² = 0.966 and MAE = 8.13 on daily crime counts
• Applied Isolation Forest, DBSCAN, and grid-based hotspot detection for spatial crime analysis
• Visualized crime heatmaps and patrol planning hotspots

• Built a text classification model using Word2Vec & TF-IDF features
• Logistic Regression outperformed Naive Bayes across all metrics
• Achieved high accuracy in distinguishing fake vs. real news

• Trained multiple ML models (ANN, Random Forest, SVM, KNN) for survival prediction
• Evaluated with MAE, R², Accuracy, and CCC
• Identified challenges of synthetic medical datasets

• Generative AI – Infosys Springboard
• Introduction to Machine Learning – Great Learning
• Deep Learning for Developers – Infosys Springboard
• Prompt Engineering – Infosys Springboard
• Artificial Intelligence – Infosys Springboard

• LinkedIn
• Email: [email protected] | [email protected]
• GitHub

"Data is the new oil, but insights are the engine."