Jayantilal Bhanushali
9 yrs Exp. | Data Scientist | Building AI Products for FinTech
- Role
- Lead Data Scientist - R & d at Pelican.Ai
- Location
- Mumbai, IN
- LinkedIn followers
- 500 followers
About Jayantilal Bhanushali
Jay is a post graduate in Applied Statistics and Computing, with about 9 years of professional experience in data science and analytics across different domains ranging from payments, banking to online personalisation. Currently, he works as a Lead Data Scientist for Pelican.ai, wherein he uses data science and ML to solve various problems in the compliance and fraud management lifecycle for financial institutions primarily in the UK & EU region. Past experiences include- Product Manager - Data Science at ICICI Lombard (Insurance)[20••••21]- Senior Data Scientist at JP Morgan Chase (Banking)[20••••18]- ML Engineer at Maersk Group (Shipping)[20••••17]- Data Scientist at Hansa Cequity (Digital Marketing)[20••••15] Experience in identifying user problems, formulating and implementing solutions using a wide variety of tools and techniques. Technologies worked with: Python, R, SQL, MS Office etc. ML Areas: Binary and multi-class classification using various techniques from traditional ML to NNs, Graph Learning, Unsupervised clustering on Graphs and Text data etc. Domain expertise: Payments, Risk & Compliance, Anti Money Laundering, Trade Finance Additionally, Jay is very passionate about mentorship and teaching, and have been pursuing it actively since 2019 through various engagements in different companies. International exposure: Shanghai (China), Rotterdam (The Netherlands), Nice (France) and India offices Email: j••••••••@gmail.com
Experience
Lead Data Scientist - R & d
Jul 2021 — Present · Mumbai, IN
Responsible for leading the data science and technical strategy, as a part of R&D team, building ML & AI powered products for financial crime compliance, and real-time payment processing for financial institutions primarily in the UK & EU region.\\\\n\\\\nKey accountabilities:\\\\n• Deliver end-to-end implementation of data science tasks including algorithm development, dashboarding, research, and insights.\\\\n• Developing & deploying Machine Learning Algorithms and spearheading Innovation Initiatives catering to various business problems.\\\\n• Working closely with senior leaders & cross functional teams in the company to define the strategic roadmap of the team.\\\\n• Mentoring and managing a data science team\\\\n• Code reviews and ensuring the best practice of the more junior members of the team.\\\\n\\\\n\\\\nDomain: Payments, Risk & Compliance, Trade Finance, Fraud Detection, Anti Money Laundering\\\\n \\\\n\\\\n \\\\n \\\\n\\\\n \\\\n
Education
University of Mumbai
Post Graduation Diploma in Applied Statistics (PGDASS), Applied Statistics, First Class
University of Mumbai
Bachelor of Technology - BTech, Computer Science, First Class
2011 — 2014
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