- Create machine learning models that predict neurodegenerative diseases based on language and speech- Deploy and monitor machine learning models

Project: Implementation of the Economics Intelligence Platform-Create Interactive Visualizations-Create Screening Tools to Detect Excessive Pricing-Predict Future Prices-Integrate Data from Multiple Data SourcesTechnologies Used: Python, Plotly Dash, Pandas, Scikit-learn, Scipy, Numpy, Prophet, Statsmodels, Matplotlib, Postgres, Docker

Designing and Implementing Tools for Meta-Data Management-Versioning of Meta-Data Schema (ability to Create/Delete/Edit/Export)-Visualization of the hierarchy-Role Based Authorization-Database Design-Technologies Used : Java, Spring Boot, JPA, Angular / Typescript, PostgreSQL, Docker, HTML / CSS, D3, Keycloak

Project: Customer Pattern Similarity to Detect Fraud ( execute on demand the KNN algorithm to detect fraudulent customers)- Data Pre-processing, Feature Engineering, Implementation of KNN algorithm with custom distances, Evaluation Metrics -Optimization to manage vast amount of data and improve computations - Daily Data Updates-Back-End / Front-End System Design and Implementation-Technologies Used: Python, Scikit-learn, Pandas, Numpy, Scipy, Multiprocessing/Multithreading, Nested Dictionaries, Sparse Matrices, Flask, Html

Project : In depth visualizations for various technical and business cases using data residing in a big data infrastructure (Hadoop).-Visualization-Data Pre-processing-Technologies Used: Python,Tableau

-Database Management (mySQL)-Collecting Data (nodejs)-Data Cleansing (mySQL, Microsoft excel)-Live and on-Demand Webcasting (Accordent)-Webpage Design (Avada-wordpress)