Summary
Jothi A is an advisor and data scientist with 9 years of experience bridging quantitative finance, analytics engineering, and software development across enterprises like Dell Technologies, Tiger Analytics, and Fuzzy Logix. He specializes in banking and fraud analytics, in-database modeling (DB Lytix/AdapteR), and ETL automation using R, Python, SQL and PL/SQL, with production experience on Teradata and Oracle. A trained financial engineer (WorldQuant University) with a data science diploma and a computer science degree, he blends rigorous quantitative methods with hands-on engineering from full‑stack .NET work to modern ML pipelines. He’s also an active content creator and communicator, sharing insights via YouTube and Twitter, which complements his practical focus on real‑time fraud detection and route‑to‑market analytics. An understated strength is his cross‑stack fluency—able to move from SQL tuning and data integrity checks to deployment scripts and visualization—helping teams turn complex data into actionable business outcomes.
9 years of coding experience
3 years of employment as a software developer
Post Graduate Diploma Data Science, Post Graduate Diploma Data Science at Manipal Institute of Technology
Master of Science - MS Financial Engineering, Master of Science - MS Financial Engineering at WorldQuant University
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Anna University Chennai
Tamil, English, Hindi, Kannada