Experience

Ernst & Young (EY) | Manager, AI & Data | Philadelphia, PA, Feb 2022 – Present

As a leader within the Advanced Analytics and Insights Practice, I bridge the gap between complex data science and executive business strategy. I lead cross-functional teams to empower global clients with high-impact insights and bespoke AI strategies, ensuring data-driven transformations translate into measurable business growth. My focus is on architectural excellence and the deployment of scalable analytics solutions that solve mission-critical challenges.

SEPTA | Data Scientist | Philadelphia, PA, Feb 2020 – Feb 2022

In the Office of Innovation, I spearheaded the development of end-to-end data ecosystems. I engineered robust ETL pipelines and custom software solutions to modernize legacy infrastructure, transforming fragmented data into actionable BI intelligence. By developing sophisticated algorithms, I provided the technical foundation for organizational shifts in operational efficiency and transit innovation.

Uber Technologies | Product Data Scientist | San Francisco, CA, Summer 2019

Collaborated with the Driver App team to optimize the user experience through rigorous experimental design and A/B testing. Analyzed large-scale experimental data to validate new feature sets, directly influencing product roadmaps and driver engagement strategies at a global scale.

Education & Certifications

  • Master of Science in Engineering, Artificial Intelligence | University of Pennsylvania, Philadelphia PA (2026-)
  • Master of Science in Business Analytics | Temple University, Philadelphia, PA (2019)
  • Bachelor of Engineering in Computer Science | Somaiya Vidyavihar University, Mumbai, India (2017)

What do I deliver?

From engineering data pipelines to creating a visual info graphic-rich dashboard, I can support end-to-end data solutions for your company. Check out my projects here for my work sample

AI Strategy & Advanced Analytics

  • Generative AI & Agentic Systems: Architecting multi-agent AI solutions to automate complex business reasoning and workflows.
  • Predictive Modeling: Leveraging advanced Machine Learning techniques to forecast trends and drive proactive decision-making.
  • Statistical Theory: Applying rigorous experimental design (A/B testing) and analysis to validate product features and business hypotheses.

Data Engineering & Architecture

  • Scalable Data Pipelines: Designing robust, end-to-end ETL/ELT architectures that transform raw data into enterprise-grade assets.
  • Workflow Automation: Streamlining organizational efficiency through automated data processing and intelligent system integration.
  • Legacy Modernization: Bridging the gap between disparate legacy data sources and modern cloud environments.

Strategic Visualization & Insights

  • Executive Intelligence: Crafting interactive, visual stories that translate complex datasets into clear, actionable business strategies.
  • BI Ecosystems: Implementing automated dashboard delivery systems to ensure real-time data democratization across organizations.
  • Data-Driven Consulting: Partnering with stakeholders to define KPIs that align technical output with bottom-line growth.

Languages

  • Python
  • R
  • SQL

Data Analysis Tools

  • Tableau
  • Jupyter
  • Excel

Cloud Solution

  • AWS/GCP
  • Docker/Git
  • Snowflake