Hair's Portfolio
Data Scientist/Engineer/Architect & Quantitative Analyst
"You never fail until you stop trying" - Albert Einstein
Scroll DownHello! My name is Hair (Ha-ee-R), a seasoned Data Scientist and Engineer with a passion for machine learning, statistics, NLP, and a high interest in quantitative finance. I'm currently pursuing a MSc. in Data Science and Business Analytics. I hold a major in Computer Science and a double minor in Statistics and Linguistics from McGill University, and have more than 4 combined years of professional experience. Beyond my technical pursuits, I'm an avid article writer, a lifelong learner, and a casual fingerstyle guitarist. I also enjoy singing, dancing, and take pride in being a polyglot: Spanish, English, French, some Italian, Portuguese, Mandarin Chinese, Japanese, and more!"
ML & NLP
Deep Learning
Statistics, Finance
MSc. Data Science & B.I.
B.A. Computer Science
Datacamp
Coursera
Deeplearning.ai
English, French, Spanish
Chinese, Japanese
Italian, Portuguese
and more!
Scroll DownWhat do I work on?
Data Science & Machine Learning
Skilled in Data Science and Machine Learning, with a strong foundation in Deep Learning and Natural Language Processing. Experienced in building machine learning models and leveraging Generative AI. Well-acquainted with NLP technologies, including advanced models like ChatGPT and LLMs. Adept throughout the ML life cycle, from data collection to deployment.
Data Engineering
Data Engineering and DevOps. Experienced in constructing and optimizing scalable data pipelines, ensuring data integrity and availability across various platforms. Proficient in integrating diverse data sources and leveraging cloud solutions to facilitate efficient data processing and storage. Demonstrated expertise in both batch and stream processing, adapting to the dynamic needs of data-driven environments.
Financial Engineering
During my MSc. I also gained advanced skills in Financial Engineering, including expertise in quantitative portfolio optimization techniques like Minimum Variance and Maximum Diversification Portfolio. Skilled in both parametric and non-parametric security modeling, including multivariate approaches such as Gaussian and Copulas. Proficient in quantitative asset management and risk mitigation.
What things have I done?
Multi-class Image Classification
Multi-class image classification challenge on the modified MNIST dataset, in which each example image contains three different digits. The challenge is to correctly classify them by identifying the highest digit, and outputint it as a target.
StockDiversifier
An innovative portfolio diversification algorithm using financial engineering and Beta-VAE stock embeddings.
WallstreetbetsGen NLP
AI-powered behavioral analysis framework of Wallstreetbets investor discussions using topic clustering, sentiment analysis, text mining, and data analytics with Python, HuggingFace, Streamlit, and Google Cloud.
Risk Management: European Book of Options on the SP500
Goal: risk management framework for estimating the risk of a book of European call options on the SP500 by taking into account the risk drivers such as underlying and implied volatility. A rigourous theoretical and applied approach is employed with the help of the R programming language, RStudio, and Git/Github.
Algorithmic Portfolio Management
Algorithmic momentum-replication strategy based on the SP500 leveraging advanced statistical techniques and machine learning techniques such as feature engineering, feature selection, regression and classification methods (e.g. Elasticnet, Lasso, Random Forests). With the help of a mix between technical and traditional portfolio optimization techniques and under certain hypothesis, we achieve backtesting performance comparable to the SP500.
Road Safety Pilot - Data Science
Modeling of the accidents observed in the last 10 years to provide the city of Montreal with a ranking of the 1864 intersections in terms of safety (from the most dangerous to the least dangerous), so that it can prioritize the riskiest intersections with the aim of improving infrastructure.
Algorithmic Trading
A number of algorithmic trading strategies employing a number of advanced statistical and machine-learning tecnhiques for Equity and Options trading. Development of these strategies tested on QuantConnect.
Quantitative Portfolio Optimization
Minimum-variance portfolio optimization with rolling window in R.
Time Series Analysis Stock Forecasting
Why is it so hard to predict stocks?. In this article, I presente a complete forecasting pipeline using ARIMA model in R, including data preprocessing and engineering.
CV Parser
An NLP information extraction application for curriculum vitaes.
Automatic Text Summarization
Improved automatic text summarization using centroid embeddings combined with Latent Dirlichet Analysis (LDA) as an improvement to the algorithm described in the original paper.
Catplotlib
A simple wrapper for Python Matplotlib library... with cats.
Neural Style Transfer
A couple of images I produced using the famous neural style transfer with different style images
Database Systems Project
Initially as a final project for my database systems class, I created a full database application using PostgreSQL and Python from scratch, including design, schema, and a friendly user interface.
Multi-class Image Classification
Multi-class image classification challenge on the modified MNIST dataset, in which each example image contains three different digits. The challenge is to correctly classify them by identifying the highest digit, and outputint it as a target.
Responsive Dynamic Portfolio
After having taken half a Web Developing course on Udemy, and googling every 2 seconds, I learned a coupl of things. The page you are navigating right now is the result of that effort :) .
Multiclass Text Classification
Reddit dataset multi-class text classification challenge using integrated NLP analysis and traditional machine learning pipelines using Python libraries such as nltk and sklearn.
Stats & Analytics
What do they say about me?
Lakshimi T.
"I have worked along with Hair at Cisco where he put all his immense knowledge on algorithms to the real time use case scenarios always amazed me. Hair predictions to the scenario has always provided a great value to the problem statement as well as organization. His immense knowledge, enthusiasm, team-oriented and high desire to learn puts him in a very unique and makes an invaluable asset to any team. I highly recommend him for any position he may apply."
Senior Data Engineer at Achievers
Zain Mushtaq
"I have worked closely with Hair during my stay at Matrox and I have been continually impressed by his exceptional capabilities in Data Engineering. One of his greatest strengths is his profound understanding of mathematics which has significantly enriched his approach to data engineering in all stages of ETL. His out of the box solutions are also easily understood with his excellent communication skills and ability to explain intricate concepts and processes to colleagues. Hair is a remarkable asset to any organization seeking a seasoned data scientist with an extensive mathematics background, and I commend him for his unique blend of technical expertise and problem solving skills which always deliver top tier results."
Former Data Science Intern @ Matrox
Jonathan Alejandro Gonzalez
"Hair is skilled and professional in every aspect. He is curious and hard working, always eager to learn and discover more. had the opportunity to study and work in projects with them at HEC, and from that academic relationship many ideas and projects have been proposed. I look forward to keep working with him, it is always a pleasure to share the room with him because of the fresh ideas he brings to the table."
MSc Student in HEC Montreal | Engineering Physics Graduate from Universidad de Guanajuato | Data and System Analyst | Software Developer
Tom
"I worked with Jair on a graduate level Applied Machine Learning course project in which we have to classify thousands of text images. Jair demonstrated unprecedented leadership in guiding the team to completing the project on time and in an excellent fashion. Our final achieved classification accuracy was top notch in class and it couldn’t have been done without Jair's teamwork. It's with my pleasure to recommend him to any employer looking to hire a young talented hard-working data scientist."
Serial Entrepreneur
Kevin
"Having worked with Hair on numerous projects at McGill University, I can attest to his great understanding of data structures and algorithms, as well as of theoretical mathematical and computer science concepts. Enthusiasm, team-oriented, perseverance, and desire to learn are only some of the many qualities that make Hair an invaluable asset to any team. I highly recommend him for any position he may apply for in the future"
Sbftware Development Engineer at Expedia Group
Su
"I had the privilege of working with Hair as a research assistant at McGill University's DemoTip Lab in Summer 2019. I was impressed by his passion for machine learning, and his drive to challenge himself by learning new technologies and refining his skills. He was always very eager to share his knowledge with fellow lab members without a computer science background, and helped to foster a conducive environment among the research assistants. Any team would be lucky to have Hair!"
Former Analyst at Vitol Asia
Abhinav Jain
"Jair is an amazing mentor and coworker. He shows lots of passion and interest in the field of data science, and is able to explain complex concepts in a way that's easy to understand for beginners. I'm privileged to have had his support and insights during my time at Cisco."
Former Software Engineer Intern @ Cisco Systems