Hire the Best Quantitative Analysts
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I'm a Data Scientist and Developer with over 5 years of experience in quantitative research and web application development. I will help you build custom software and algorithms that solve your business problems and meet your technical needs. --- Skills and Experience: - Python | JavaScript/TypeScript | PineScript | SQL | NoSQL - Web development frameworks and tools: Flask, React, Angular, and Git - Data analysis, Visualization libraries and tools: pandas, matplotlib, seaborn, Plotly, Tableau and Power BI - Machine learning frameworks and tools: scikit-learn, TensorFlow, Keras and PyTorch - Familiar with trading platforms and languages: TradingView - PineScript, MetaTrader - MQL5 - Bachelor's degree in Computer Science and Master's degree in Financial Engineering

Hi! I’m an MSc FinTech graduate specializing in data-driven financial analysis and portfolio risk modelling. I help businesses structure, analyze, and visualize financial data to uncover insights that drive smarter decisions. What I deliver • Data wrangling & automation → Python (pandas, NumPy), SQL, Excel • Financial analytics & risk metrics → returns, volatility, correlation, VaR, CVaR • Portfolio risk modelling → parametric, historical, Monte Carlo methods • Regression & asset pricing → CAPM, Fama-French models, factor loadings • Dashboards & visualisation → Excel, Tableau, Power BI, matplotlib Portfolio highlights • Portfolio Risk Modelling (Python) – Built a portfolio risk model estimating Value-at-Risk (parametric, historical, Monte Carlo), Expected Shortfall (CVaR), performed rolling backtesting, and stress testing under market shock scenarios. • CAPM & Fama-French Regression (Python) – Built and compared CAPM, FF3, and FF5 models for AAPL, TSLA, and AMZN (2015–2024), with visual reports and interpretation. • Stock Risk Dashboard (Excel + Tableau) – Designed an interactive dashboard tracking portfolio returns, Sharpe Ratio, and 1-day 95% VaR. • SQL–Python Pipeline – Processed 50,000+ simulated transactions, flagged anomalies (3σ rule), and generated automated reports. My focus is on translating complex financial data into actionable insights for investors, analysts, and decision-makers. Let’s bring clarity, precision, and business value to your data.

With over 20 years of experience in Software Development, AI Research, and Data Science, I bring a wealth of knowledge and expertise to the field of quantitative finance and stock investment. PROFESSIONAL EXPERIENCE ▪ Strategic Leadership: Developed and implemented effective AI and Data Science strategies, focusing on discovering causal relationships to drive better decision-making and generate value from data resources. ▪ Team Building: Led the development and training of Data Scientists and AI Researchers, enhancing data literacy across the organization. TECHNICAL SKILLS ▪ Quantitative Finance: Extensive experience in applying quantitative methods to financial markets, including algorithmic trading, portfolio optimization, and risk management. ▪ Causal AI: Expertise in Causal Effects, Decision Optimization, and Root Cause Analysis, crucial for understanding market dynamics and making informed investment decisions. ▪ Advanced Data Analysis: Skilled in conducting sophisticated data analysis to uncover insights that drive strategic business decisions and investment strategies. ▪ Interpretable and Explainable Machine Learning: Strong focus on developing models that are not only accurate but also interpretable and explainable, ensuring transparency and trust in AI-driven financial decisions. ▪ Statistical Knowledge: In-depth understanding of statistical analysis and modeling techniques, essential for quantitative finance and stock analysis. ▪ Data Management: Experienced in managing large datasets, including data cleaning and preparation, to ensure high-quality data for financial analysis. ▪ AI as a Service: Proficient with Google Cloud AI, AWS AI, and Microsoft Azure AI, leveraging cloud-based AI solutions for financial applications. ▪ Generative AI: Applied Generative AI to transform business strategy, demonstrating leadership in innovative AI solutions for financial markets. ACHIEVEMENTS ▪ Successfully developed and deployed algorithmic trading strategies that consistently outperformed market benchmarks. ▪ Led a team of data scientists in creating a predictive model that accurately forecasted stock price movements, resulting in significant investment returns. ▪ Implemented a comprehensive risk management framework using advanced statistical techniques, reducing portfolio risk and enhancing returns.

I am a quant researcher for an asset management firm specialising in developing trading strategies, portfolio management and derivative pricing. I can teach you practical python in financial data analysis, ML model developing, applied mathematics in finance etc. Check out my work in my github!!!

4 year teaching and researching experience Finance and economics at prestige University 4 year industry experience in Investment consulting. Achievements: - Won International Connection 2014 Award - Won Teacher of the Year 2015 Award - Won Teacher of the Year 2016 Award