Vaishnavi A.

About Vaishnavi A.

A life long student, data freak, social worker, 3A(Autism, ALS, Alzhiemers)fund raiser, ambivert and what not? A woman who has learnt to unlearn the cliche! • 8+ years of experience in product analytics supporting growth, operations and customer success as product data analytics consultant.• 7+ years of experience in Business Intelligence, Data Warehousing, and ETL for Teradata systems, Predictive modeling using generalized linear and non-linear models using python and experimental design in retail, HR systems e-commerce and healthcare domains. • Performed data analysis using advanced SQL & statistical analysis including clustering/segmentation, and build predictive models using XGBoost Regression.• Proficient in advanced SQL(Windows Functions), statistical analysis, hypothesis testing, regression analysis and A/B testing.• Assist with planning for phased rollouts including minimal viable product and enhancement roadmap.• Help produce proof of concept (POC) as appropriate to demonstrate concepts and how proposed designs will work for data analytics.• Track product KPI’s, user behavior, cohorts, insights, etc. using google analytics, mixpanel involving projects of $10M annual budget.• Perform analysis to support key clients as well as to identify opportunities to expand or optimize usage and develop product presentations for client calls.• Built XG Boost Predictive model, and perfomed text mining to pull top 5 skills from job positing.• Identified insights, visualizing trends, capacity planning & reporting from complex data sets with help of POWERBI, Tableau, SAP BO and generate metrics to support business goals.

Experience

1. Staff Data Scientist

   Intuit

   Jan 2025 — Present · Mountain View, CA, US

   Staff Data scientist on experimentation and causal inference program for expert network for TurboTax and Quickbooks product lines. Focus more on the people, process and service deisgn changes. Lead Bayesian based test for hierarchical models(expert based tests) and other causal inference tests using propensity score, synthetic control methods.Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop strategies and ML/AI methodologies to address them.• Engage with engineering technology partners to build, prototype and validate scalable data insights using transformer(LLM) based frameworks that analyze large-scale call transcript data to drive customer success.

Education

• Anna University Chennai

  Bachelor of Engineering (B.E.), Electrical and Electronics Engineering

  2007 — 2011

• Jawahar Higher Secondary School

  High School, Computational and Applied Mathematics

  2005 — 2007

• California State University - East Bay

  M.S, Business Analytics- Applied Statistics & Data Science Major

  2016 — 2017

• Purdue University

  Certificate Program, Generative AI Specialization

Skills

• Sql
• Databases
• Informatica
• Data Warehousing
• Business Intelligence
• Shell Scripting
• Unix Shell Scripting
• Microsoft Sql Server
• Data Modeling
• Microsoft Office
• Teradata
• Teradata Data Warehouse
• Business Objects
• Project Coordination
• Full Sdlc
• Performance Tuning
• Unix
• R
• Business Strategy
• Business Analysis
• Big Data Analytics
• Crm
• C
• C++
• Data Analysis
• Data Management
• Python
• Strategic Planning
• Ad Hoc Reporting
• Sdlc
• Etl
• Software Development
• Requirements Analysis
• Software Development Life Cycle (Sdlc)
• Extract, Transform, Load (Etl)
• Sap Businessobjects