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Nithish Bodakunti

Business Analyst | Building Health Tech in D2C | Driving Retention via Data Science | Machine Learning & Statistical Analysis

Bengaluru

2+ years of work experience

Kapiva
Oct 20251 yr 1 moPresent

• Analysed product and user behaviour data across a high-growth digital health platform, uncovering patterns that informed checkout and landing-page interventions, driving self-booking adoption from 2% to 33%. • Built an AI-powered post-call audit system using prompt-engineered scoring logic, reducing manual audit headcount from 9 to 3. • Applied LTV modelling and cohort analysis to identify behavioral trends, improving repeat consultation rate by 10pp, which contributed to a 16% increase in customer LTV.
Kapiva
Apr 20256 mosSep 2025

• Built and maintained interactive dashboards and reports in Looker Studio and Google Analytics, helping cross functional stakeholders make faster, data-driven decisions across a 200+ doctor ecosystem processing 60,000+ leads/month. • Resolved system leakages in the post-purchase lead allocation funnel via root cause analysis and SQL driven diagnostics, improving funnel conversion from 60% to 95%.
Unified Mentor Private Limited
Mar 20243 mosMay 2024

Hyderabad, Telangana, India

I analyzed datasets using Python, identifying key trends and patterns, which helped in efficient decision making. Developed and presented data visualizations using Tableau, resulting in enhanced stakeholder understanding of complex data sets.
Jan 20241 yr 4 mosApr 2025

Hyderabad, Telangana, India

• Built Power BI dashboards used daily by the ops/supply chain team to track last-mile delivery and inventory KPIs, enabling faster operational decisions. • Analysed price variation patterns using SQL and regression-based demand forecasting, reducing inventory costs by ~12% and contributing to a 20% revenue increase in by-products sales.

Nithish’s AI Stack

antigravity
antigravity
claude
claude
gemini
gemini
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hugging face
notebooklm
notebooklm
Wispr Flow
Wispr Flow

Education

Gokaraju Rangaraju Institute of Engineering and Technology

Bachelor of Technology - BTech, Mechanical Engineering

Gokaraju Rangaraju Institute of Engineering and Technology

20194 yrs2023
Sri Chaitanya College of Education

Sri Chaitanya College of Education

20172 yrs2019

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Headline

Business Analyst | Building Health Tech in D2C | Driving Retention via Data Science | Machine Learning & Statistical Analysis

Location

Bengaluru

AI stack

antigravity

claude

gemini

hugging face

notebooklm

Wispr Flow

Work experience

Product & Business Analyst at Kapiva, Oct 2025 - Present · 1 yr 1 mo, • Analysed product and user behaviour data across a high-growth digital health platform, uncovering patterns that informed checkout and landing-page interventions, driving self-booking adoption from 2% to 33%. • Built an AI-powered post-call audit system using prompt-engineered scoring logic, reducing manual audit headcount from 9 to 3. • Applied LTV modelling and cohort analysis to identify behavioral trends, improving repeat consultation rate by 10pp, which contributed to a 16% increase in customer LTV.

Product Analyst at Kapiva, Apr 2025 - Sep 2025 · 6 mos, • Built and maintained interactive dashboards and reports in Looker Studio and Google Analytics, helping cross functional stakeholders make faster, data-driven decisions across a 200+ doctor ecosystem processing 60,000+ leads/month. • Resolved system leakages in the post-purchase lead allocation funnel via root cause analysis and SQL driven diagnostics, improving funnel conversion from 60% to 95%.

Data Science Intern at Unified Mentor Private Limited, Mar 2024 - May 2024 · 3 mos, Hyderabad, Telangana, India, I analyzed datasets using Python, identifying key trends and patterns, which helped in efficient decision making. Developed and presented data visualizations using Tableau, resulting in enhanced stakeholder understanding of complex data sets.

Business Analyst at HARITHA BIO PRODUCTS INDIA PRIVATE LIMITED, Jan 2024 - Apr 2025 · 1 yr 4 mos, Hyderabad, Telangana, India, • Built Power BI dashboards used daily by the ops/supply chain team to track last-mile delivery and inventory KPIs, enabling faster operational decisions. • Analysed price variation patterns using SQL and regression-based demand forecasting, reducing inventory costs by ~12% and contributing to a 20% revenue increase in by-products sales.

Education

Bachelor of Technology - BTech, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology

Sri Chaitanya College of Education

Nithish Bodakunti - Product & Business Analyst in Bengaluru | Tal