Soubhagya Ranjan Das

Data Professional with 3+ years of experience in data analysis, machine learning, problem solving and critical thinking. Experienced in solving complex business problems across the Hospitality,Tourism and Healthcare industries with a proven track record of delivering insightful and impactful solutions. Detail-oriented team player with strong organizational skills.

• Received the "Q1 R&R 2022" award for upholding “Ownership” Leadership Principle.
• Received the "Q1 R&R 2021" award for upholding “ Earn Trust ” Leadership Principle.

IBM Data Science Professional Certificate

 Medical Insurance Prediction – 

- Problem Statement: Predict the medical insurance premium charges based on various demographic factors. 

- Designed, developed and tested the machine learning model using multiple regression algorithms such as LinearRegerssion, RandomForest, XGBoost, Artificial Neural Network. 

- Improved the accuracy to around 87%, and help in reducing the underwriting time. 

Marketing Segmentation – 

- Problem Statement: To launch a targeted marketing campaign by dividing the customer’s into at least 3 distinctive groups with similar needs or characteristics. 

- Conducted EDA on customer demographic and transaction data to understand patterns and trends. 

- Developed and trained K-Means clustering model to perform market segmentation. 

- The model segmented the market into distinct group of customers, which will help the marketing team to implement the marketing strategies. 

Chest Disease detection and classification – 

- Task: To develop a model to detect and classify chest disease from X-Ray images to reduce the cost and time of detection. 

- Utilized convoluted neural networks (CNNs) and Transfer Learning, and conducted experiments to evaluate the performance of the model. 

- The model detected and classified chest diseases from X-Ray images with high accuracy, which will help the healthcare organization to diagnose patients more quickly, resulting in improved patient outcomes.