Bryan Parahy

Some of the tasks I undertake: - Design, develop, and deploy Big Data solutions using Pyspark. - Implement efficient data pipelines for data ingestion, processing, and storing massive amounts of data. - Implement deployment pipelines on Azure DevOps (CI/CD). - Feed the various data layers (Raw, Silver, Gold). - Monitor the production launch and monitor the data platform. - Collaborate closely with the project manager, data analyst, and data architect to provide data warehouse feeding solutions. - Technical documentation of data flows.

As a data scientist, I specialize in designing and maintaining machine learning models to solve clients' specific problems. Here are some of the projects I carried out: • Developed a data cleaning and machine learning algorithm to predict clients that were the most likely to convert from a financial product to a more profitable one for a financial and insurance provider in Europe. • Developed a machine learning matching algorithm for a recruitment agency using Natural Language Processing (NLP) to target the best candidates that will be the most likely to have a conversation with a recruiter given a set of candidate search criterias (job description, education level, type of industry, etc) • Developed a machine learning algorithm using time series forecasting in order to be profitable in the New York ISO (https://www.nyiso.com/) energy market which provides energy to over 20 million people in the state of New York. • Developed a Python algorithm to identify chemical components from Time of Flight Secondary Ion Mass Spectrometry (ToF SIMS) graphs for a European company. ToF SIMS is a state-of-the-art surface-sensitive analytical method that uses a pulsed ion beam to remove molecules from the outermost surface of a sample. • Supervision of 2 interns in data science and machine learning • In charge of Videns Academy to develop content courses for clients in different programming languages such as R, Python and SQL on subjects such as data manipulation , data processing and machine learning

Research : Develop Automatic Feature Engineering tools to assist Data Scientists and Machine Learning engineers Skills: • Developping machine learning pipelines automatically improving machine learning performance for regression, binary classification, multinomial classification • Dealing with highly imbalanced datasets (using SMOTE, ADASYN, Tomek link removal techniques and the like) • Using different algorithm for feature selection on large datasets (Random Forests, GBM, Lasso, Elastic Net) • Using isolation forest for anomaly detection • Proficiency in Python and Apache Spark (PySpark) • Experience with the H2O library • Working experience with Git environment • Agile work experience

Project : Develop a strategic plan for one of the partners of the loyalty reward program AirMiles in order to counter the competition and generate 5% sales growth. - Analysis of a dataset containing descriptive information about loyalty program members, - Analysis of a dataset containing the transactional information of the members' purchases as well as the points received - Analysis of a dataset containing the redemption information - Customer segmentation based on consumer buying behavior - Development of acquisition and attrition models Achievement : The strategic plan created a 7,7% sales growth for the partner.

Our mission is to promote the use of data science as well as the job opportunities related to this field to the students of HEC Montreal Tasks : - Organize events related to Data Science at HEC Montreal such as : - a big data conference - workshops on Python and R programming - datathon

Bryan worked in patent law with Fasken's Technology and Intellectual Property group. As such, he was actively involved in filing and prosecuting patent applications in Canada, the USA or Europe. In addition, Bryan helped to prepare patentability opinions and freedom to operate opinions as well as conduct patentability searches. His expertise was also called upon for litigation cases involving intellectual property matters. Skills : - Drafting, filing and prosecuting patent applications - Infringement analysis - Freedom to operate - Patentability opinion - Detail oriented - Customer service - Work under pressure and with tight deadlines Fasken was named « Montreal’s top employers for 2018 ».

C2 Montreal is an immersive 3 day event that unites the cream of the international business crop and works to stimulate creative even visionary thinking to commercial problems. This is encouraged through an immersive environment that fosters collaboration and the emergence of innovative business solutions. C2 Montreal was cited by the Harvard Business Review as « The Conference That’s Trying to Reinvent How We Network ». Skills : - Ensure the smooth functioning of the online tools used by participants during C2 Montreal - Management of web-platforms - Ensure technical support for participants - Customer service - Under pressure work

Founded in 1878, the University of Montreal, with its two affiliated schools, Ecole Polytechnique and HEC Montreal, is now the largest university in Quebec and the second largest in Canada. With over 60,000 students from around the world, the University of Montreal awards more than 11,000 diplomas every year. Mandate : Evaluate the need for implementing a new program at the school of continuing education of the University of Montreal Skills: - Conduct a market analysis - Conduct a competitive analysis - Conduct focus groups with field expert - Using a marketing approach

Moisson Montreal is a non-profit charity. It gathers food donations and basic products all year long free of charge, and distribute them to community organizations on the Island of Montreal. With the support of the community, Moisson Montreal has become the largest food bank in Canada distributing foodstuffs. As a charitable organization, Moisson Montreal receives the majority of the food and basic products through donations. Cash donations are vital to managing the food bank and Moisson Montreal has a 107,000-square-foot warehouse where 14.5 million kilograms of food of all kinds pass through annually. Mandate: Identification of the causes leading to the imbalance of the inventory Skills: - Mapping of the different processes during the reception of the food - Process analysis - Inventory Management System Analysis - Advice on the implementation of an ERP

Mandate: Design and Fabrication/Virtual prototyping of a functional prototype of a suburban train for the Montreal area incorporating an innovative rail travel experience for passenger. Customer: BOMBARDIER Transport R&D department - Multidisciplinary team management:16 students from mechanical, electrical engineering (Ecole Polytechnique de Montréal), business (HEC Montréal) and industrial design (ÉDIN) - Integrated Product Team (ITP) - Subsystem level team leader - Virtual prototyping on Catia V5 (Digital mock-up, eBOM & mBOM, Part, Product, DMU Kinematics, Generative Shape Design, Finite Element Analysis) of an interior of a commuter train - Final product: 3D printing of a representative prototype (scale 1/25) - 700 000$ virtual budget for development and a real budget for prototype manufacturing

Bombardier Aerospace Amphibious and Specialized Aircrafts Firefighters around the globe rely on Bombardier's amphibious aircrafts such as the CL-415 to efficiently deliver massive quantities of suppressant to a fire to prevent it from getting out of control. Mandate: Optimize the assembly lines for the CL-415 by implementing visual instructions. Skills: - Interact with the technicians to simplify assembly proedures - Development of visual work instructions - Database modification for implementing the changes - Lean manufacturing - Drafting reports on critical issues such as electrical connection tests on the wing - Drafting reviews for the Logistics department for ordering parts

- Disassemble outboard engines - Installation of the steering control system for Yamaha outboard motors - Engine testing - Oil change