Pavithra Sridhar

• Dynamic data engineering lead with a unique blend of data engineering, analysis, and data science expertise. Known for driving strategic insights that unlock revenue potential and guiding junior engineers to excel.
• Analyzed how marketing campaigns and website content influences B2B sales, mapping user journeys with visualizations to track traffic spikes and high-value interactions from opportunity creation to closure.

Delivered Key Insights:

• Digital engagement boosts revenue probability by 64%
• High-value web actions (downloads, form submissions, registrations) surge by ~30% 2 months before opportunity creation.
• Sharp drop in volume of web activities 1 month before opportunity creation
• Collaborated with business to integrate Account-Based Marketing (ABM) strategies, achieving a 4% win rate increase and yielding 12x ROI.
• Partnered with teams across marketing, sales, and web as well as data scientists and analysts to define data needs and ensure data driven decision making.
• Built 5 core datasets using techniques like pattern and fuzzy matching, along with customized business unit segmentation, that served as the foundation for Business intelligence, Forecasting algorithms, Dashboards etc.

• Lead Developer for Backend (Data Preparation & Formulation) and Frontend (UI/UX) in Palantir Foundry
• Module Lead of application which identifies sites & patients globally for conducting Clinical trials
• Implemented a user-input driven scoring system to rank countries based on many metrics like Performance, Commitment, Study start up time, Trial Competition etc
• Collaborated in development of other Clinical Investigation Protocol modules, enabling faster & efficient site recruitment & Principal Investigator Identification
• Garnered client praise by performing multiple roles simultaneously i.e Data Developer, Application Developer, Quality Tester, Production Release lead

• Developed & Maintained data warehouse for Loan acquisitions, Loan management systems, Credit systems & Insurance. Integrated data from different sources to create data marts & submarts
• Developed Metadata enrichment application in Python used for cataloging and lineage tracking
• Procured and prepared data for Analytical & ML algorithms, and real time data streaming
• Built frameworks for data pipelines and formulated data pipeline management protocols that improved Data Quality by 30%
• Generated and Processed Data & Business Logic for metrics like Loan-to-Asset Ratio, Cash recovery, Return on Asset, Credit Risk, etc

• Designed, Developed & Analysed Data Pipelines, Identified Trends & Anomalies, Formulated logic for KPIs
• Fixed error prone pipelines, Implemented data checks and validations across sources and increased pipeline performance by 60% that helped speed up daily run
• Strategised with Business Analyst and ML team to provide high quality data with higher accuracy
• Crafted Business Logic for HR metrics: Attrition rate, Target Manpower, Recruitment Index & People Cost
• Implemented Dynamic Data masking of sensitive customer information with row level security

• Handled backend ETL processes, developed Oracle 10g reports & forms, and extracted data from various sources like DB2 Mainframe, Flat & VSAM Files, Oracle & SQL Server, etc