📍 Montreal, QC, Canada | 📧 [Email](mailto:[email protected] or [email protected]) | 🌐 LinkedIn | 📁 GitHub
Experienced Data Scientist with a strong background in financial markets and cryptocurrency. Proven track record of delivering high-impact data analysis and predictive models, leveraging extensive technical skills in Python, SQL, and machine learning. Passionate about utilizing data to drive successful business outcomes and informed decision-making.
Personal Fund Manager | GMB Capital
November 2017 - Present, Montreal, QC
- Executed intra-exchange arbitrage strategies, achieving a 750,000% return measured in bitcoin.
- Developed hedging strategies to optimize returns, leveraging altcoin futures and staking.
- Published research reports on macroeconomic trends and cryptocurrency markets.
Founding Member & Head of Operations | Toshiverse L4bs
July 2021 - 2022, Montreal, QC
- Established an NFT studio, generating $4M USD in sales revenue in the first year.
- Led a diverse team of 20, overseeing smart contract development, marketing, and community building.
Master’s in Applied Data Science, Sept 2023 - Present
- GPA: 3.8
Masters in Blockchain and Digital Currency, Feb 2018 - 2019
Bachelor’s, John Molson School of Business, Sept 2015 - 2018
- Honors: Ernst and Young Academic Scholarship, Beta Gamma Sigma, Dean’s Honor List, Golden Key International Honour Society
- Data Science: Machine Learning, NLP, Hypothesis Testing, A/B Testing
- Visualization: Tableau, Matplotlib, Plotly, Bokeh, Seaborn
- Programming: Python, R, SQL
- Blockchain: Metamask, Dune Analytics
- Development Tools: GitHub, Docker, Jupyter, Anaconda, Dash
- Big Data: AWS, Hadoop, Spark, Hive
- Analyzed Bitcoin sentiment using Twitter data and historical pricing, applying NLP and ML techniques.
- Discovered correlations between sentiment shifts and market trends.
- Won the industry project for a Microsoft Hackathon ( a 24 hour collaborative tech sprint) to develop a digital solution that safeguards individuals' data rights across multiple different data leveraging platforms
- Developed a detailed report exploring into industry-specific data challenges in the cybersecurity industry, using a dataset on a collection of data breaches.
- Employed advanced data analysis and machine learning techniques to derive actionable insights.
- Utilized Google Books Ngrams data to perform extensive data wrangling and analysis, demonstrating the power of big data tools such as Apache Spark and Hadoop in uncovering linguistic and cultural trends.
- Developed a predictive model using Long Short-Term Memory (LSTM) networks to forecast Bitcoin prices, incorporating time series analysis and deep learning techniques.
- Conducted a comprehensive analysis of cryptocurrency decentralized exchanges (DEX), producing insights into trading patterns, liquidity, and market dynamics.
Feel free to connect with me to discuss data science, cryptocurrency, or potential collaborations!