Welcome to
Hair's Portfolio
Senior Data Engineer | AI/ML Engineer | Data Scientist
"You never fail until you stop trying" - Albert Einstein
About Me
As a Senior Data Scientist/Data Engineer & AI/ML Engineer Consultant with over four years of experience, Hair Parra specializes in transforming complex datasets into actionable insights that support strategic business decisions. With a strong academic and technical background spanning computer science, data science, machine learning, mathematics, and statistics, Hair brings deep domain expertise in natural language processing (NLP) and recommendation systems.
Hair holds a Master of Science (MSc) in Data Science and Business Analytics from HEC Montréal, where the focus was on advanced statistical modeling, optimization, and the development of machine learning solutions tailored to business contexts. Complementing this, Hair Parra has undertaken rigorous coursework in Financial Engineering. Currently serving as a Data Engineer Consultant at Alten Canada, Hair is engaged in building scalable, production-ready data pipelines and engineering solutions that enable robust data analytics and system integration.
Technically proficient in Python, R, SQL, and various AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face, Hair also has extensive experience with data engineering and DevOps tools, including Git, Linux, Docker, Apache Spark (PySpark), FastAPI, Elasticsearch, Jenkins, and modern web frameworks. Hair Parra maintains a forward-looking approach by staying abreast of innovations in large language models (LLMs), with practical experience in state-of-the-art techniques including Retrieval-Augmented Generation (RAG), LangChain, and modern generative AI systems.
B.A. Computer Science
Domain Expertise
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.
MLOps & AI Engineering
Specialized in MLOps and AI Engineering, focusing on deploying, monitoring, and maintaining machine learning models in production environments. Proficient in containerization with Docker, orchestration with Kubernetes, and CI/CD pipelines using Jenkins and GitHub Actions. Experienced in model versioning, A/B testing, and implementing scalable ML infrastructure with cloud platforms like AWS, Azure, and GCP for seamless model deployment and lifecycle management.
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.
Projects
QuantGold Dashboard
Advanced Canadian ETF Portfolio Management Dashboard incorporating daily static snapshots, Monte Carlo simulation, interactive macro indicators, quantitative risk and portfolio management.
FinReportRAG
An AI-native financial analytics system engineered with a modular microservices approach, integrating FastAPI for high-throughput API orchestration, LangChain for dynamic LLM-driven reasoning, OpenAI's transformer-based models for contextual comprehension, and a high-dimensional vector database for optimized semantic retrieval, as well as agentic AI.
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.
Road Safety Pilot - Data Science
Modeling of 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.
CV Parser
An NLP information extraction application for curriculum vitaes.
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.
Risk Management: European Options
Risk management framework for estimating the risk of a book of European call options on the SP500 by taking into account risk drivers such as underlying and implied volatility.
Algorithmic Portfolio Management
Algorithmic momentum-replication strategy based on the SP500 leveraging advanced statistical techniques and machine learning methods.
Catplotlib
A simple wrapper for Python Matplotlib library... with cats.
A Complete Introduction to the Black-Scholes Model
A Mathematical Perspective with Stochastic Calculus and Python — For Quants.
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.
Skills
Stats & Analytics
Testimonials
What do they say about me?
Lakshimi T.
Senior Data Engineer at Achievers
"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."
Zain Mushtaq
Former Data Science Intern @ Matrox
"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."
Jonathan Alejandro Gonzalez
MSc Student @ HEC Montreal
"Hair is skilled and professional in every aspect. He is curious and hard working, always eager to learn and discover more. I 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."
Tom
Serial Entrepreneur
"I worked with Jair on a graduate level Applied Machine Learning course project. 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."
Kevin
Software Development Engineer at Expedia Group
"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."
Su
Former Analyst at Vitol Asia
"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."