Sanket Shenvi

About Sanket Shenvi

Experienced Data Analyst with over 7 years of experience, currently working at Barclays Global Research Centre. Specialized in building data-driven solutions across research readership, client interactions, corporate access, and marketing analytics. Developed recommendation systems, semantic search tools, and interactive dashboards using Python, SQL, Tableau, QlikSense, PySpark, and AWS. Led initiatives involving GenAI, KPI engineering, and automation to enhance the Barclays Live platform and support business strategy. Known for translating complex data into actionable insights that drive analyst productivity and client engagement. Worked previously at Morgan Stanley, focused on revenue forecasting and reporting for Institutional Equity and Fixed Income, using automation pipelines.

Experience

1. Assistant Vice President

   Barclays

   Oct 2021 — Present

   Worked on projects related to readership analytics, client interactions, corporate access, and marketing using Python, SQL, Tableau, PySparkBarclays Live - Readership Analytics• Developed a recommendation engine using Jaccard similarity in PySpark, deployed via AWS and Presto, to suggest related publications and user-specific content.• Created a semantic search tool using cosine similarity and count vectorization to enhance smart publication discovery.• Conducted detailed analysis on user behaviour, including content engagement by length, section, and theme (e.g, ESG, Data Science).• Tracked subscriber engagement to assess publication series performance and user retention.• Built dashboards in Tableau and QlikSense to identify potential clients based on publication consumption patterns.Client–Analyst Interactions• Delivered high-impact dashboards showing analyst-client interactions by asset class and region for leadership review.• Automated targeting logic in Python, integrated into Tableau, to highlight clients with high investment potential.Corporate Access Analytics• Developed client-targeting dashboards to optimize seat allocation for corporate events based on prior engagement.• Automated daily alerts via SAP BO & SQL to track event requests and notify analysts of upcoming meetings• Performed post-event analysis with YOY comparisons on participation, interactions, and effectivenessPackaging & Marketing Support• Built usage reports to assess MiFID package consumption, flagging potential leads, abusers, and exceptions• Designed an asset class interest model in Python to support personalized marketing and churn risk detection• Provided analyst- and sector-level send lists to support II and Extel survey campaignsData Engineering & Innovation• Engineered KPIs from PIWIK logs and Spark pipelines to support platform analytics• Built GenAI tools including a RAG-based visual analysis app and a chatbot for querying internal data via natural language

Education

• Veermata Jijabai Technological Institute (VJTI)

  Master of Technology - MTech

• Chinmaya Vidyalaya Tarapur

  SSC

• Vivekanand Education Society's Institute Of Technology

  Bachelor of Engineering - BE

• Deccan Education Societys Fergusson College, (Arts, Science), Pune

  Higher Secondary School

  2009 — 2010