Nikhila M.

About Nikhila M.

With over 12 years of experience in technology and data science, I help organizations solve complex business problems and drive scalable growth through strong data driven leadership. My expertise includes delivering multimillion dollar impact at high velocity by leading end-to-end experimentation, causal inference, machine learning, personalization and strategic AI initiatives. I’ve led 300+ complex experiments across apps, products, and web platforms, while building measurement frameworks and standards that foster a culture of faster data-driven decision making. Most recently, I led the development of a multi-agent AI workflow that fully automates web experimentation process, accelerating delivery cycles from weeks/days to days/minutes while improving decision accuracy, operational efficiency, and innovation velocity. I\'m also leading QuickBooks integration initiatives with OpenAI and Claude, driving AI partnerships, innovative thinking, and the development of new strategic pathways.Recognized as a visionary thinker in my org, I bring a forward-looking mindset, guiding strategic decisions with clarity and conviction and fostering innovation, accountability, and adaptability across teams. Mentorship is a key part of my leadership—developing talent, encouraging ownership and supporting team members to grow and succeed in high performing environments. When I’m not deep in metrics or models, you\'ll fine me reading non fiction, listening to podcasts, dabbling in interests like singing (heart>pitch) or taking long walks where the best ideas reach me!Technical Skills: Statistics: A/B testing(frequentist, sequential, bayesian, cuped), Causal Inference (DiD, synthetic control, propensity scores, interrupted time series), Predictive (supervised/unsupervised ML) and Prescriptive analytics (scenario modeling)Gen AI: LLMs, prompt engineering, RAG, MCP, LangChain, LangGraph, multi agent system Databases: Hive (clickstream), Redshift, Teradata SQL Assistant, Oracle, SQL Server, MySQLLanguages: Python (Jupyter Notebook), R, SQL, HQL, Spark SQL, Base SAS, Objective CAnalysis Tools: Azure Databricks, Tableau, Adobe Analytics, Splunk, Amazon SagemakerLeadership Skills: Cross functional strategy, C-suite influence, driving change, fostering a high trust collaborative environment, mentorship

Experience

1. Senior Data Science Manager

   Intuit

   Feb 2024 — Present · Mountain View, CA, US

   Lead the Web Data Science and Experimentation team for QuickBooks, accountable for optimizing the company’s largest acquisition channel and delivering tens of millions in incremental revenue annually • Led the development of a multi-agent AI workflow that automated the end-to-end web experimentation process, reducing delivery timelines from weeks/days to day/minutes and driving significant efficiency, decision-quality, and innovation gains across the company• Leading QuickBooks integration initiatives with OpenAI and Claude, driving AI partnerships, innovative thinking, and the development of new strategic pathways• Drive cross-functional initiatives using advanced analytics, machine learning and personalization to enhance customer experiences, uncover growth opportunities and shape data-driven strategies across product and marketing• Developed a comprehensive experimentation playbook outlining best practices and acceleration levers for velocity• Drove measurement plans for areas of optimization such as web navigation, checkout flow, monetization, search, pricing and product lineup• Skilled in driving business growth and influencing company strategy through data driven actionable insights• Monitor key metrics and identify performance drivers including competitive trends, customer journey, purchase behavior and funnel analysis• Uncover business opportunities, create data driven strategies, roadmaps and monitor progress against set goals built in forecast• Steer complex machine learning projects with cross-functional partners from diverse backgrounds• Prioritize work intake to facilitate focus on impactful initiatives• Actively identify opportunities to leverage GenAI for efficiency gains, enhanced decision-making and accelerated innovation

Education

• Stanford University Graduate School of Business

  Stanford Executive Education Program

• The University of Texas at Dallas

  Master's degree, Information Science/Studies

  2014 — 2016

• Shanmugha Arts, Science, Technology and Research Academy

  Bachelor of Technology (B.Tech.), Information and Communication Technology

  2008 — 2012

Skills

• Business Intelligence
• Business Analysis
• Data Warehousing
• Data Mining
• Tableau
• Data Analytics
• Microsoft Excel
• Requirements Analysis
• Mysql
• Business Objects
• Requirements Management
• Sas E-Miner
• Pentaho
• Requirements Gathering
• Analytical Skills
• Product Management
• Extract, Transform, Load (Etl)
• Sql Server Management Studio
• Sql Server Reporting Services (Ssrs)
• Microsoft Sql Server
• Ios Development
• Project Management
• Leadership
• Software Development Life Cycle (Sdlc)
• Sql Server Integration Services (Ssis)
• Python
• Web Intelligence
• Relational Databases
• Data Trending
• Macro
• Data Forecasting
• Retail
• Vba
• Google Analytics
• Functional Analysis
• Sas Programming
• Sql
• Kettle
• Microsoft Office
• Microsoft Word