Skills

Worked with a team of Python developers on designing the back-end architecture of the Model.Earth project. Fetching data from multiple sources, storing and cleaning for analytics purposes. Provided support for PostgreSQL, SQLite integration and data administration. Coordinated with team members to optimize the use of different Python libraries and data management systems. 

A suite of SQL Server scripts, procedure, functions focused on performance monitoring and system diagnostics. My work included creating specialized scripts for analyzing performance bottlenecks, managing database locks, and optimizing indexes and system information. These scripts cover areas such as Agent Jobs, Indexes, Query Store, System Information etc. 

Dynamic relational data visualization tool, utilizing Django, Python, SQL Server, and Chart.js. Allowing users to upload tables of data and visualize data insights using interactive charts and graphs. Users can customize their visualizations by selecting specific columns for the axes,  apply filters for more focused analysis, choose between multiple chart types, such as line, bar, and pie charts and save or export charts for reporting purposes.

Comprehensive stock market analysis application that leverages famous investors value investing principles. The tool is designed to empower investors by providing detailed analyses of intrinsic values, safety margins, dividend histories, and various financial health indicators, facilitating educated investment decisions. Including features such as: Intrinsic Value Calculation Margin of Safety Assessment Dividend History Analysis Financial Health Checks: etc...

PageRank algorithm application using C#. It’s designed to analyze and rank web pages within a network. Parsing and processing URLs with custom-built utilities that extract and normalize hyperlinks from various web sources. Encapsulating web pages as nodes within the graph, interconnected through directed edges that represent links from one page to another. Utilizing iterative traversal and a damping factor reflective of user engagement, the application distributes PageRank scores to quantify the relevance and authority of web pages.