Open to opportunities

Aboli Birajdar

@abolibirajdar

Message

I’m a Data Scientist delivering end-to-end ML solutions for business impact and clarity.

India

Message

What I'm looking for

I’m looking for a product-minded Data Science role where I can own end-to-end ML, partner with business stakeholders, and ship interpretable models and decision-ready dashboards that improve revenue and retention.

I’m a statistically trained Data Scientist with 4+ years of experience delivering end-to-end machine learning solutions across insurance and public health. I turn raw data into actionable insights that drive revenue impact, while keeping model interpretability and stakeholder alignment at the center of my work.

As a Manager in the Business Intelligence Unit at ICICI Prudential, I’ve owned ML solution design, deployment, and business adoption. I combine predictive modeling with business reporting—building Qlik Sense dashboards (Upsell, Persistency, Claims) and automating MIS packs via NPrinting—so teams can move from analysis to decisions faster.

My work focuses on measurable lift: I developed an Upsell Propensity Model that increased conversion rates by 35% and improved model AUC from 0.65 to 0.82. I also built Win-back, Agent Activation, and Lapse/Surrender Prediction models—improving reactivation rates by 15%, increasing active agent participation by 21%, and enabling targeted retention efforts that reduced lapse rates by 37%.

Before ICICI Prudential, I strengthened my execution across data and systems. I cleaned and transformed 5M+ rows to power real-time Tableau dashboards, delivered secure REST APIs for COVID dashboards and surveillance in the Health Department, and built scalable automated testing frameworks with Selenium, TestNG, and CI/CD tooling—so my models and pipelines are built to be dependable, not just accurate.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

ICICI Prudential Life Insurance

Feb 2022 - Present (4 years 1 month)

Owned end-to-end ML solution design, deployment, and business adoption across upsell, win-back, agent activation, and lapse/surrender use cases. Improved upsell conversion by 35%, win-back reactivation by 15%, agent participation by 21%, reduced lapse rates by 37%, and raised model AUC from 0.65 to 0.82.

Python SQL XGBoost scikit learn Qlik Sense Hypothesis Testing

Executive Analyst

Brandscapes Worldwide

Apr 2021 - Sep 2021 (5 months)

Cleaned and transformed 5M+ rows of EU sales and transaction data across channels and product categories, and built interactive Tableau dashboards for senior stakeholders. Automated recurring reporting with SQL and Excel macros, reducing manual effort by 60% and improving turnaround time from 2 days to a few hours.

Tableau SQL Excel Data Cleaning Dashboarding Data Visualization Data Pipelines

Database Expert

Government of Maharashtra

Aug 2020 - Mar 2021 (7 months)

Ensured district-level compliance by enforcing standardized data-entry protocols and real-time validation checks, and trained 30+ district health teams on digital reporting workflows. Delivered secure, high-availability REST APIs powering internal surveillance and public COVID dashboards with real-time visualization of key metrics.

REST APIs API Integration Data Validation Digital Reporting Dashboards

Testing Executive

Infosys

May 2016 - Jun 2018 (2 years 1 month)

Built reusable Selenium Page Object models for maintainable, scalable mainframe UI test automation and implemented parallel test execution with TestNG and Docker. Integrated Allure reporting with Jenkins for CI test visibility and added smoke test triggers post-deployment to improve stability.

Selenium TestNG Docker Jenkins CI CD Page Object Model Smoke Testing Test Automation