Building things I wish already existed.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
malware-evasion-gan
April 3, 2026 – Present
Adversarial machine learning project demonstrating GAN-based malware evasion and defense via adversarial retraining on the EMBER dataset, with an interactive Gradio UI.
View Projectinsider-trading-analysis
January 29, 2026 – Present
ML system that analyzes SEC Form 4 insider trading filings to classify routine vs informed trades and predict future stock movement signals.
View Projectalined
January 10, 2026 – Present
Enabling architects to realize their vision from sketch to space.
View Projectuk-public-health-analytics
October 31, 2025 – November 7, 2025
Analyzed UK public health datasets to identify socioeconomic and environmental factors contributing to health inequality, and developed predictive models to forecast health outcomes, aiming to support data-driven policy decisions.
View Projectbrsr-analysis
October 16, 2025 – October 16, 2025
Analysis of company business & sustainability reports
View ProjectVirtualLandRegistry
August 25, 2025 – August 30, 2025
Decentralized virtual land registry built on Internet Computer Protocol (ICP) with Rust backend and React frontend. Features secure land registration, marketplace trading, and portfolio management for virtual real estate.
View Projectnovacoin-blockchain
August 10, 2025 – August 10, 2025
novacoin-blockchain — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, including blockchain development, web development, and data science. While this demonstrates a broad technical curiosity, the significant number of non-data science projects (e.g., novacoin-blockchain, alined, VirtualLandRegistry) suggests a potential lack of focused alignment with a dedicated Data Scientist role. The personal nature of all projects indicates self-motivation and initiative, but without team-based projects, it's difficult to assess collaborative fit.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are concise and technical, but do not offer insights into collaboration, problem-solving approaches, or communication style.