Data Scientist Science

Tamer Darwazeh

Toronto, ON +1-365-***-**** ️ ************@*******.***

Professional Summary

Data Scientist and Quantitative Analyst with 5+ years of experience leveraging Python, machine learning, and statistical modeling to analyze financial markets and derive actionable insights. Strong foundation in time series forecasting, risk modeling, backtesting, and automated trading strategies. Adept at using large datasets and predictive analytics to optimize financial performance, reduce risk, and support strategic decision-making. Recent training in aviation analytics and real-time systems enhances ability to work on complex, regulated environments.

Skills

Programming: Python, R, SQL, Bash, VBA

Libraries & Tools: NumPy, Pandas, Scikit-learn, Statsmodels, TensorFlow, PyTorch, XGBoost, Matplotlib, Plotly

Finance & Quant: Time Series Analysis, Portfolio Optimization, CAPM, Black-Scholes, Monte Carlo Simulations, Options Pricing, VaR

Data Engineering: ETL Pipelines, Web Scraping, API Integration, PostgreSQL, MySQL

Data Visualization: Power BI, Tableau, Matplotlib, Seaborn

Machine Learning: Regression, Classification, Clustering, Random Forest, Gradient Boosting, Neural Networks

Platforms: AWS (EC2, S3), Git, Jupyter, Excel, Bloomberg (basic familiarity)

Professional Experience

Independent Quant & Data Scientist Remote

Jan 2019 – Present

Built and deployed automated trading algorithms for forex, crypto, and equities using mean reversion, momentum, and statistical arbitrage strategies.

Performed backtesting and performance analysis using historical tick and OHLCV data, improving Sharpe ratio of strategies by 20–40%.

Conducted portfolio risk analysis and asset allocation optimization using Python-based financial models and Monte Carlo simulations.

Designed web scraping and API pipelines for real-time market data from sources like Yahoo Finance, Binance, and Alpha Vantage.

Created dashboards and visualizations for profit/loss tracking, drawdowns, and equity curve monitoring.

Applied machine learning models to predict short-term asset price movements using features like RSI, MACD, Bollinger Bands, and volume.

Developed custom solutions for clients involving ETL pipelines, options Greeks calculators, and factor modeling.

Education

Fanshawe College

Remotely Piloted Aerial Systems – Commercial Operations (RPAS)

Jan 2024 – Aug 2024

Trained in data acquisition, aviation regulations, and real-time systems.

Gained expertise in geospatial analytics, aerial data processing, and predictive modeling.

Applied knowledge in safety-critical domains, enhancing understanding of data-driven operations in regulated industries.

Bachelor of Business Administration (BBA) – Finance & Marketing

Wilfrid Laurier University

Graduation Year: 2010-2014

Focused on financial modeling, market analysis, investment strategies, and behavioral finance.

Certifications

AI for Trading Nanodegree – Udacity (2021)

Data Scientist with Python Track – DataCamp

Machine Learning Specialization – Coursera (Andrew Ng)

AWS Cloud Practitioner (In Progress)

Projects

Pairs Trading Bot – Statistical Arbitrage

Implemented cointegration-based pairs trading strategy using z-score mean reversion logic.

Developed entry/exit signal generator and backtested on 3 years of stock pairs data, achieving a simulated annual return of 18%.

Crypto Price Forecasting using LSTM

Used deep learning (LSTM neural networks) to predict short-term price movements of Bitcoin.

Achieved MAPE below 5% and visualized rolling forecasts on test sets.

Options Pricing Engine

Built a Black-Scholes and Binomial Tree calculator for European and American options.

Integrated volatility surface and real-time data using Yahoo Finance API.

Additional Details

Comfortable working with quant teams, data engineers, and portfolio managers in agile environments.

Strong understanding of market microstructure, trading signals, and risk-reward profiles.

Open to remote, hybrid, or on-site opportunities across finance, fintech, hedge funds, asset management, and aviation analytics.

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