Sai Charan T.

Built and maintained data pipelines that process raw private-market financials into validated, model-ready outputs reducing analyst prep time from hours to minutes Designed A/B testing frameworks for financial dashboard workflows, tracking adoption metrics and iterating on data presentation to improve usability for non-technical users Developed marketing analytics models to track funnel performance and identify conversion drop-off points across early-access user cohorts Collaborated cross-functionally with founders and design partners to translate ambiguous business questions into structured data requirements and measurable KPIs

Designed and executed 50+ ETL and ELT workflows using Informatica Intelligent Cloud Services (IICS), improving data pipeline efficiency by 30%, ensuring data accuracy Automated monthly financial reporting by deploying SQL stored procedures and views, eliminating ~8 hours of manual data pulls per reporting cycle and enabling same-day variance analysis for finance stakeholders Conducted A/B testing experiments on financial dashboards and reporting workflows, validating design changes and data presentation methods; identified optimal configurations that improved stakeholder adoption by 18% and enhanced decision-making accuracy Integrated Cornerstone API engagement data with financial systems, enabling finance teams to directly correlate workforce productivity with cost efficiency — findings informed Q3 budget reallocation decisions across 3 departments Enhanced data accuracy by 15% and reduced data preparation time by 20% using Power BI Dataflows, integrating complex datasets, and demonstrating strong analytical skills to drive strategic decisions Analyzed multi-quarter financial data from marketing and sales sources to identify revenue leakage patterns and seasonal dips, delivering actionable insights that informed pricing strategies

Designed and maintained a relational database to catalog 50+ hours of audio-video interviews with Deaf and hard-of-hearing participants, tagging each recording with demographic and thematic metadata for easy discovery Automated transcription workflows using Python and NLP libraries, generating searchable transcripts and enabling rapid thematic coding (e.g. early intervention, language choice, cultural identity) Conducted inductive thematic analysis-applying categorical data techniques (Chi-Square, CMH) to quantify how Deaf vs. deaf identities influence parental advice, then distilled findings into clear, actionable insights Built interactive dashboards in Power BI to visualize participant demographics and advice themes over time, empowering librarians, researchers, and educators to explore the collection by age, identity, and topic Collaborated with a cross-functional team of archivists, researchers, and developers to publish a publicly accessible digital repository enhancing community access to lived experiences and supporting informed decision-making for parents and educators

Analyzed 10 M+ transactions to uncover revenue, expense, and pension‑trend insights, cutting reporting cycles by 30 % Automated SQL Server and Excel VBA workflows for pension benefit calculations and data validation, improving monthly forecast accuracy by 22% and reducing manual correction time by ~6 hours per cycle Designed Power BI dashboards that visualize liabilities, asset growth, and risk exposure for board‑level decision‑making Ran data‑driven A/B tests on the retirement portal, refining UX and lifting customer satisfaction by 10 % Produced SQL‑based risk reports on payment delays and scheme errors, guiding quarterly audits Led cross‑functional Agile sprints on a fund‑optimization initiative, aligning finance, IT, and ops deliverables

Coursework: - Probability & Statistics - Categorical Data Analysis & Hypothesis Testing - Statistical Modeling & Regression Analysis - Data Management & SQL - Machine Learning & AI - Data Visualization & Storytelling (Power BI & Tableau) - Strategic Marketing

Coursework: -Database Management & SQL -Machine Learning Fundamentals -Categorical Data Analysis -Digital Signal Processing -Digital Image Processing -Database Management & SQL -Machine Learning Fundamentals