C#, .NET, WPF, TypeScript, Kusto

Scala, Hive, Spark, C#, Kusto, ADF, SQL Server, HdInsight, Power BI, VSTF

Helped students to solve challenging algorithm questions using various data structures and programming concepts such as arrays and strings, linked lists, stacks and queues, recursion, dynamic programming, trees and graphs, and bit manipulation.

Participated in a quantitative analytics research for enhancing Prattle’s automated scoring model using CAPIQ API. Utilized machine learning algorithms such as decision trees and random forests to create classifiers and predict consensus changes

Using Python, Deployed Headless Chrome scripts on job servers that cut down the CPU usage from approximately 40% to ~10%. Furthermore, optimized memory efficiency by creating a process management script