Sudharshan Ashok

● Developed a proprietary model for forecasting cybersecurity attacks as part of client’s R&D team, increasing prediction accuracy by 27%, and profiled threats using Gaussian Mixture Model clustering

● Collaborated with MIT’s CSAIL team to analyze existing cybersecurity trends/literature in Financial Services domain; presented reports to top management on improvement areas to meet compliance with industry standards (FAIR, NIIST)

● Led the design and development of an iOS engineering-assistant product for client on a Xamarin iOS, SQL and C# stack; valued at $450K+ and was recognized as one of the most innovative projects at client’s annual summit

● Crafted a proof-of-concept recommender system, modeling user behavior, that led to 24% reduction in logging time

● Crafted a proof-of-concept recommender system (item-based collaborative filtering) for a mobile application, modeling user behavior patterns, that led to 24% reduction in logging time

● Designed A/B tests for an iOS/Web-based large-scale equipment management application and offered recommendations, improving visibility of safety warnings for foremen users at construction sites

● Co-developed Financial Behavior Assessment product using SQL, Python and optimized the data pipeline and query run-times for a fin-tech startup that helps financial advisors understand client’s risk profile in investments