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Aniruddha Padmanaban

@aniruddhapadmanaban

Data science graduate who applied machine learning and Generative AI to an auto insurance premium determination project.

India

Message

What I'm looking for

I'm eager to contribute to impactful projects that address real-world challenges and support data-driven decision-making.

On my auto insurance premium determination project, I applied machine learning regression techniques and Generative AI models to estimate insurance premiums.

At Tech Actuarial, I worked on data visualization with Matplotlib and data manipulation with pandas, and analyzed health data for a healthcare fraud detection case study. I also used machine learning classification models to predict the possibility of fraud.

On a funded Society of Actuaries project, I implemented machine learning models to interpret health insurance data. I applied global surrogate models to make predictions more transparent.

Experience

Work history, roles, and key accomplishments

Machine Learning Researcher

Society of Actuaries (SOA)

Jul 2023 - Oct 2023 (3 months)

Worked on a funded SOA project implementing various machine learning models to interpret data related to Health Insurance. Successfully applied advanced techniques for transparent model predictions using global surrogate models, showcasing a deep understanding of interpretability in Machine Learning.

Machine Learning Model Interpretability Global Surrogate Models Health Insurance Data Analysis

Project Intern

Society of Actuaries

Jul 2023 - Oct 2023 (3 months)

Worked on a funded SOA project implementing various machine learning models to interpret data related to Health Insurance.
Successfully applied advanced techniques for transparent model predictions, using global surrogate models, showcasing a deep understanding of interpretability in Machine Learning.

Data Science Intern

Tech Actuarial

Feb 2023 - May 2023 (3 months)

Conducted an extensive case study of fraud detection in healthcare.
Analyzed and interpreted the relevant health data containing fraud.
Performed prediction of the possibility of fraud using various Machine learning models.

Data Science Intern

Tech Actuarial

Nov 2022 - Apr 2023 (5 months)

Worked on data visualization using Matplotlib and data manipulation using pandas. Conducted an extensive case study of fraud detection in healthcare, analyzing and interpreting relevant health data and performing prediction of fraud using various machine learning classification models.

Matplotlib Pandas Machine Learning Classification Data Visualization Data Manipulation