My Project Portfolio

Explore a selection of technical projects that highlight my expertise in project management, web development, data analytics, and data science. Each project represents a blend of problem-solving, technical acumen, and a drive to deliver impactful results. Whether you're looking for advanced machine learning models, system automation, or in-depth data tracking solutions, you can check it out below.

Data Science

Turning data into actionable insights. From predictive algorithms to automated trading bots, these projects showcase my ability to harness machine learning and advanced analytics.

Stocks Auto-Investment Bot: Automating portfolio management with Random Forest algorithm and Alpaca stock trading API integration. This runs every day, and has shown a 5% ROI over the past few months.

LSTM Deep Learning Investment Bot: My next ML project - A portfolio management bot using deep learning (LTSM algorithm, Neural Networks) in order to forecast stock trends and automate trades.

Data Analytics

Empowering decision-making through data. These projects demonstrate my expertise in tracking user behavior, visualizing data, and optimizing workflows.

PIWIK Pro Migration: Transitioned from Google Analytics to PIWIK Pro, improving tracking and reporting capabilities.

PERT Analyses: Optimized project timelines using Program Evaluation and Review Techniques.

Jupyter Notebooks: Built predictive models for financial volatility forecasting.

Web Development

Crafting dynamic and scalable web solutions. My development work spans CMS migrations, API integrations, and creating tools that simplify complex workflows.

Sitecore CMS Migration: Modernized a legacy CMS for improved scalability and content management.

Online Bookstore DB: Designed a relational database for seamless inventory and sales operations.

Digital Forensics

Building tools to uncover the truth in data. These projects combine automation, analysis, and anomaly detection to strengthen incident response and investigations.

Log Analysis Tool: Developed a Python-based CLI tool for automated log parsing and summarization.

Forensics Dashboard: Visualized system anomalies and performance metrics for in-depth insights.