Open to opportunities

Ashritha Kakarla

@ashrithakakarla

Data Science Analyst and Business Analyst delivering AI-driven analytics and growth optimization for learning platforms.

India

Message

What I'm looking for

I’m looking for a high-growth product team where I can own end-to-end analytics and AI features—building pipelines, dashboards, and experimentation that drive measurable learning and revenue outcomes.

I’m a results-driven Data Science Analyst with 3+ years of experience leading analytics and AI product development in a high-growth edtech environment. I’ve built scalable ETL pipelines, architected data warehouses, and deployed GPT4-powered learning solutions impacting 10,000+ students.

At Newton School, I drive measurable business outcomes—improving learning completion by 27%, reducing CAC by 15%, and supporting revenue optimization decisions exceeding ₹2+ crore quarterly. I combine SQL/Python-based experimentation and modeling with Airflow-based engineering to deliver dashboards that cut manual effort by 65% and create better student engagement through structured A/B testing and intelligent prompt workflows.

Experience

Work history, roles, and key accomplishments

Current

Business Analyst

Current

Newton School

Jun 2022 - Present (4 years)

Led end-to-end analytics across Growth, Academics, Placement, Progression, and Product, building dashboards that cut manual reporting by 65% and supported decisions for 10,000+ learners. Architected optimized Airflow ETL and a denormalized warehouse (improving query performance 60% and reducing preprocessing time 40%), and drove GPT-4 learning features plus A/B testing that improved learning compl

SQL Python Pandas Data Warehousing Query Optimization Metabase Looker Studio A B Testing Dashboards

Data Science Intern

Tata Communications

Dec 2021 - May 2022 (5 months)

Built a machine-learning strategic expansion model using clustering to analyze 4,000 Indian cities, integrating 15+ datasets to identify the top 1,000 telecom market opportunities. Automated data aggregation and prioritization, cutting market research time by 60% and informing multi-crore network investment recommendations.

Machine Learning Clustering Strategic Expansion Modeling Data Integration Market Research Telecom Market Analytics