- Collected, cleansed, and provided modeling and analyses of structured and unstructured data of more than 500GB. - Created impactful dashboards in Excel and Tableau for datareporting. Extracted, interpreted, and analyzed data to identifykey metrics and transform data into meaningful, actionableinformation.- Designed and built model inferencing API using Azure MachineLearning deployment services.

-Established a workflow for anonymizing and preprocessing DICOM and standard type images ranging from OCR to text processing. -Managed cloud-based Architecture in AWS from Data storage to optimizing and Hyperparameter tuning models inside of EC2 instances. -Automated ETL (Apache Airflow, Azure Data Factory) processes across multiple datasets which reduced manual workload by morethan 50%.

-Used Hostinger VPS as our hosting server. Used LAMPP as aserver framework. And used Cloudflare as the SSL Certificate provider. -Administrated, Developed Prolean web application for more thana year which increased student registrations by more than 30%. -Tech Stack : Python/PHP/JS/HTML/CSS.

-Real-time Data stream directly from twitter API. -Compared sentiment analysis methods (IBM Watson, Textblob, NTLK - Vader), opted to use Textblob for its good performanceand ease of use. -Used Spark Streaming to treat data stream as it comes from thetwitter API. -Used ArcGIS to Real-Time visualize which parts of the US thathave more positive or negative tweets by creating a Heatmap