Farhad C
Data ScientistBristol, United KingdomMember since June 26, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PokerBot
May 22, 2026 – Present
Fullhouse Hackathon 2026 (Quantitative Poker Hackathon) entry (finalist top-40): 6-max NLHE bot
View ProjectFTGP2526_Group16_Pythia
March 16, 2026 – Present
FTGP2526_Group16_Pythia — GitHub repository
View Projectideabank
February 15, 2026 – Present
Async Python knowledge base: ingest, classify, embed, and export to Obsidian
View Projectclaude-skills
February 15, 2026 – Present
Custom Claude Code skills and Spawner knowledge skills for an agentic Obsidian vault workflow
View ProjectFRED-MD
November 16, 2025 – November 16, 2025
Factor-augmented forecasting models for macroeconomic prediction using FRED-MD dataset (134 series, 2001-2019). Achieved 37-42% improvement over naive benchmarks with statistically significant results. Extracted factors provide 6-12 month advance warning signals for economic recessions. [BSc Data Science Final Year Research Project]
View Projecthull-tactical-market-prediction
October 23, 2025 – October 23, 2025
hull-tactical-market-prediction — GitHub repository
View Projectderivx-fic-analytics
October 18, 2025 – Present
FIC derivatives analytics: Black-Scholes, SVI/SABR, OIS/IRS bootstrapping, Black IR pricing, DV01/PV01
View Projectcareer-rag-pipeline
August 30, 2025 – August 30, 2025
An AI-powered career advisory system for STEM students and professionals, built using LangChain and Python with RAG (Retrieval Augmented Generation) architecture.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, self-driven projects, indicating initiative and passion. The diversity of projects, from blockchain to AI and quantitative finance, suggests adaptability and a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment within a structured team environment. The projects align well with a data scientist role, particularly those involving predictive modeling and data analysis.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.