Amit D. Dhumal

Experienced professional with a robust background in project management and data analysis, currently pursuing an M.Tech in Modelling and Simulation. Dedicated Data Science enthusiast actively expanding expertise in Exploratory Data Analysis (EDA), Machine Learning, Deep Learning, Generative AI, and Data Visualization using Python and R. Passionate about leveraging data-driven insights and intelligent systems to tackle real-world challenges and facilitate informed decision-making. Committed to continuous learning and applying innovative solutions to enhance organizational effectiveness.

• ISO 9001-2015 - Internal Auditor
• Six Sigma - Green Belt from MSME
• JPMorgan Chase & Co. Agile Job Simulation on Forage
• Power BI Essentials - NASBA
• Business Analysis Foundations - IIBA

Insurance Cost Prediction

• Analyzed insurance data to understand how factors like age, BMI, smoking habits, and region influence medical costs.
• Built and tested different regression models - Linear Regression, KNN and Random Forest - to predict insurance charges.
• Evaluated models using RMSE, MAE, and R2 to find the most accurate and reliable one.
• Developed a model that accurately predicts insurance costs, helping insurers estimate premiums based on customer details,

Breast Cancer Prediction

• Performed EDA to understand key factors influencing breast cancer diagnosis using medical features such as cell nuclei measurements
• Built and tested classification models - Naive Based, Decision Tree, Random Forest to predict whether a tumor is malignant or benign,
• Evaluated models using Accuracy, Precision, Recall, and F1-score to ensure reliable diagnostic performance.
• Delivered an accurate and interpretable model capable of assisting early breast cancer detection and clinical decision-making.

Random k-Labelsets for Multilabel Classification

• Working on understanding Random k-Labelsets for Multilabel Classification to explore ensemble techniques and gain familiarity with academic research papers