I'm a passionate software engineer specializing in web development and cloud technologies. Currently focusing on building scalable applications and exploring new technologies.
- 🔭 I'm currently a concurrent Master Candidate in Human-Centered Data Science (Univ. of Toronto) and Computer Science (Georgia Tech)
- 🌱 I'm currently learning Operating Systems and Machine Learning
- 👯 I'm looking to collaborate on Differential Privacy, responbily aprotect human privacy in data science
- 💬 Ask me about Privacy Web developement, Computer Networks, SQL. Statistica Analysis
- 📫 How to reach me: [[email protected]]
Role: Data Analyst / 3-person team
Project Overview:
- oAdvanced machine learning solution for optimizing insurance pricing and client segmentation
- Processed and analyzed dataset of 50,000 client records to predict insurance premiums with 84% accuracy
- Built interactive visualization dashboards for real-time monitoring and analysis
My Contributions:
- Implemented end-to-end ML pipeline including data preprocessing, PCA dimensionality reduction, and SVM model development
- Performed feature engineering and hyperparameter tuning using grid search and cross-validation
Project Overview:
Data-driven customer segmentation system for targeted marketing campaigns Developed comparative analysis of clustering algorithms for optimal customer grouping Identified three distinct customer segments with actionable marketing insights
My Contributions:
Built data pipeline using Python and SQL for preprocessing and feature engineering Implemented and compared Agglomerative and K-means clustering algorithms Created visualization dashboard highlighting key customer segments and behavioral patterns
Project Overview:
Predictive analytics system for insurance claims pattern recognition Built regression models to analyze demographic and behavioral factors affecting claim amounts Developed data-driven strategies for insurance companies based on customer segmentation
My Contributions:
Developed multiple linear regression model using R for claims pattern analysis Performed comprehensive data cleaning and statistical analysis Created interactive dashboards for visualizing customer segments and claim patterns
• Developed and optimized a PostgreSQL database for a small vehicle business, including ER mapping, schema design to handle inventory, transactions, and customer data efficiently
• Developed and integrated APIs to facilitate communication between the frontend and backend systems, enabling automated data retrieval, updates, and synchronization across the application, enhancing workflow efficiency
• Built an interactive frontend interface using HTML and JavaScript, focusing on responsive design
• Engineered a scalable backend system by connecting the PostgreSQL database with the Flask framework, ensuring efficient data handling, secure storage, and consistent performance for complex queries and future system upgrades