Jaspreet Bassan

Contracting data and product services

- Led a team of 10 data analysts and data scientists. - Led the data science efforts to fuel theScore’s marketing and advertising needs. - Laid foundations for documentation, project management, and strategy to anchor the department. - Brought in a ton of organization needed to work on high impact projects and reduce ad hoc work. - Owned and defined career journeys for data scientists and data analysts.

TLDR : Worked as a technical product manager in the data space with a technical lead title. Successfully launched a product in the EU by learning a lot about GDPR law. Managed and planned the development efforts in the post IDFA world. Constantly learning and honing my skills in the product space and learning a great deal about "leading without authority" - Worked in the ad-tech DSP space - Managed a team of 4 data scientists and engineers - Owned the entire product pipeline in the data domain from planning, breaking down technical requirements and detailed plan by analysing data, launching, to monitoring the deployed solutions - Built dashboards to monitor key business metrics - Actively contributing and participating in post IDFA strategies

TLDR : Successfully kick-started a startup within the business in the weather B2B space from being a sole contributor to now a team of 5. Learnt a great deal about analysing geo-spatial data and deriving meaningful insights. Loved presenting and pitching the product to clients. In this one year journey of being a Lead Data Scientist, I got introduced to the world of product and I have been working with data & product ever since - Experience with working on a myriad of weather datasets : historical observations, historical forecasts, weather forecasts, climatology, and extreme weather events such as hail, hurricane, and storm surge datasets - Experience with building dashboards on ArcGIS and CARTO - Solid experience with analysing and maintaining geo spatial datasets on BigQuery - Built LSTM and XGBOOST machine learning production solutions using python - Worked on the full stack of the data spectrum from data engineering, data devops, data science to data product - Led the product technical roadmap using Kanban Jira board - Pitching the product to clients on a bi-weekly basis and frequently presenting the work and results to various stakeholders in the company - Successfully launched the product from ideation and built the POC in 2 weeks with a team of three engineers

TLDR : I joined Addictive Mobility as a Data Scientist that later got acquired by Pelmorex Corp. I developed lots of ML production solutions and endless data pipelines. I learnt a great deal about programmatic advertising and the world of weather. I was lucky enough to get lots of experience with building and deploying ML solutions on on-prem and cloud infrastructures. - Solid experience with building ML and data pipelines using PySpark. - Architected ScyllaDB data models and deployed the DB on-prem. In depth and maybe too much experience with monitoring and solving ScyllaDB issues. So much so that I got invited to be a speaker in their conference :) - Actively contributed in formalizing production and deployment rules - Became a pro in ping pong - Sole contributor in the weather B2B space. Built and honed a sales-weather prediction system using python - Got in depth exposure with creating VMs on GCP for training and deploying deep learning solutions

- Helped the founders in my spare time to formulate the technical requirements of a product in Cardiology - Owned the data space end to end from acquiring patient data to building solutions using patient data - Performed extensive research to understand HIPAA and PHIPA laws around acquiring and storing Personal Health Information - Performed a detailed SWOT analysis to determine potential partnerships such as tech infrastructure, NLP companies in healthcare, Electronic Medical Records companies, so on - Experience with formulating features and solutions for the clinical decision support platform - Overlooked and contributed in the overall UI/UX design process with the chief medical officer

- Conducted research on employing evolutionary computation techniques like immune programming and genetic programming in real-time streaming environments under my supervisor, Dr. Marcus Santos - My thesis was nominated for Ryerson's Governor General Gold Medal

I was a TA of the following courses: Data Structures, Theory of Parsing, Introduction to C and Unix, and Computer Organization

Interpreted machine level code of reheat spray controller into flowcharts to make it easily understandable to instrumentation engineers

- My master's program was research based and my area of research was applying evolutionary computation techniques like immune programming and genetic programming to classify and label streaming data in real-time. - My thesis was nominated for Ryerson's Governor General Gold Medal