Brijesh P. Email & Phone Number

Toronto, Ontario, Canada

Currently, I am working at Capintel, a successful Fintech startup, dedicated to building investment solutions. I work on engineering and devloping data ingestion, improving data quality, notification systems and managing search engine. I have developed ensemble outlier detection system to potentially identify bad financial instrument data in our system..

Regina

• I was instrumental in driving software development life cycle from product research and software design to production, testing, and implementation. I consistently completed all assigned tasks on time and as per.
• Singlehandedly finished all tasks and excelled in an agile environment.
• Achieved customer requirements through enhancements and bug fixes in Java-based application.
• Introduced new tools to resolve technical issues and customer complaints 30% faster.
• Interpreted API docs to integrate organization’s application with foreign system.
• Finalized projects before deadline and significantly improved customer satisfaction levels

Regina, Saskatchewan, Canada

• In 2016, I decided to attend University of Regina and enhance my knowledge about computer science. Here, I learned about computing, information technology, and software design and application. I passed all my courses.
• Completed project associated with reinforcement learning in trust model, including simulation of multi-agent system, implementation of trust model using Q-learning, computation of direct/transitive trust among agents.
• Spearheaded segmentation based on a household data project, including data set management, clustering based on k-means and density, and cluster/segment assessment for marketing strategies development.

Regina, Canada

• I joined Conexus Credit Union in 2018 as Data Analyst, and I supported decision-making process by delivering interactive data visualizations to management and staff members. I liaised with key stakeholders and.
• Created dashboards for effective visualization of KPIs using Azure, Power BI, and D3JS.
• Drove sentimental analysis of deposit-growth campaign call.
• Built predicting model of potential deposit growth after a campaign call and helped marketing teams to better select customers for second call.

Master Of Science (M.Sc.), Computer Science, 84.60

Bachelor Of Engineering (B.E.), Information Technology, 7.12 Cgpa

Software Development, Networking, Database Management.