Summary
Lalith Sugavanam is a pragmatic software engineer based in the New York City area with over a decade of experience spanning banking, finance, and data science. He blends hands-on front-office application development and automation (Excel VBA, ASP.Net, VB.Net) from his early banking career with modern data engineering and analytics skills in Python, R, SQL, Spark and big-data tooling. Currently at Wells Fargo, he brings practical production experience informed by prior roles as a data science fellow and as an instructional specialist coaching bootcamp students in visualization, ML and full-stack data toolchains. Comfortable both as a developer and educator, he has repeatedly translated complex financial and analytical requirements into usable tools and curricula. His career shows a steady shift from enterprise banking systems to analytics-first engineering, reflecting a strong aptitude for upskilling and mentoring technical teams.
8 years of coding experience
10 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Madras
Master's degree computer applications, Master's degree computer applications at Bharathidasan University