• Implementing transformative improvements for a FinTech client's Machine Learning model, utilizing advanced data analytics while dealing with financial data to drive significant enhancements – improving accuracy by 10%.• Led the creation of efficient development environments in Docker containers, automating data fetching and preprocessing pipelines through Bash scripting, resulting in reduced manual effort.• Exploring various alternative models (Data exploration) for the client such as… Show more • Implementing transformative improvements for a FinTech client's Machine Learning model, utilizing advanced data analytics while dealing with financial data to drive significant enhancements – improving accuracy by 10%.• Led the creation of efficient development environments in Docker containers, automating data fetching and preprocessing pipelines through Bash scripting, resulting in reduced manual effort.• Exploring various alternative models (Data exploration) for the client such as XGBoost, Random Forests, Decision Trees, LSTMS, and ARIMA.• Produced detailed documentation elucidating complex code processes with flowcharts and explanations, facilitating team comprehension and streamlining workflows.• Technologies Used: Python, SQL, Git, TensorFlow, Docker, AWS, Data Visualization & Interpretation Show less

• Deployed an app to automate the extraction and manipulation of insurance data from different files, reducing the manual effort substantially by ~ 80%.• Developed an NLP-based Recommendation System from text to category mapping which was eventually integrated into the app. Further decreasing the effort and reducing errors.• Led a team of interns in developing an automated data modeling workflow by achieving a robust codebase, conducting code reviews, and ensuring high-quality standards… Show more • Deployed an app to automate the extraction and manipulation of insurance data from different files, reducing the manual effort substantially by ~ 80%.• Developed an NLP-based Recommendation System from text to category mapping which was eventually integrated into the app. Further decreasing the effort and reducing errors.• Led a team of interns in developing an automated data modeling workflow by achieving a robust codebase, conducting code reviews, and ensuring high-quality standards throughout the project.• Utilized Power BI to perform in-depth data analysis and visualization, effectively communicating valuable insights to the leadership. Show less

Predicting properties of materials and managing data with the help of machine learning tools.