Lavit Goswami

Responsible for building supervised learning models using various Machine learning algorithms and feature engineering techniques. Worked on large scale medical data to extract relevant information. Trained various models based on Bagging and boosting techniques (Random Forest and Xgboost). Designed and developed a flask API to maintain data records in NoSQL Database (MongoDB). Created a Machine Learning application User Interface using python streamlit library. Worked on extracting relevant information from unstructured text using NLP model training.

Involved in data extraction and data processing from structured documents (PDF,excel,images,docx,csv,txt) using Python. Developed a design framework to analyze and organize data from structured documents using Python OOPs concepts. Developed a Generic Form Parser API (Flask Web Framework). Developed a NoSQL RDBMS using MongoDB. Developed strategies for large scale distributed data processing. Worked on processing standard Pharmaceutical Medical PDF and image forms (CIOMS,MedWatch) to generate data in a structured format (E2B,XML,JSON).

Involved in client specific technical configurations and software application installation in client’s environment on Linux platforms. Worked on creating installer scripts for software applications on Linux terminal. Deployed software applications (ICSR Management tool) on Linux (Ubuntu, RHEL) environment hosted on AWS. Performed technical configurations on Oracle Database using PL/SQL queries. Performed data filtering in Oracle Database using PL/SQL queries. Identified root cause of problems reported by business and provided technical and analytical solutions. Performed automation testing on software application functionalities using HP Unified Functional Testing and HP Application Life Cycle Management tools. Worked on Oracle Argus technical and business configurations. Worked on E2B data transmission between Argus and local application (Case Management tool).