
As a Programmer Analyst, I am responsible for the Configuration and Customization modules. I'm working on a big life science project for Abbott's Rapid Diagnostics business called ARDx Helix as part of my CTS project. Utilizing the TWD (Trackwise Digital) suite is the focus of this project. Built on the Salesforce platform, Helix is a complaint management system that offers all the features needed to oversee and address concerns through to resolution.
Created configuration workbooks for customers to provide them with more information about every single object in the application
Worked on various modules like Test Classes, Apex Classes,Flows,Validation Rules.
Programming: Python, SQL, Java
Web Development: HTML, CSS
Cloud Technologies: GCP
Development Tools: Salesforce
Visualization Tools: Tableau
Tools : MS Office Suite
Academic Project: Aspect Classification and Topic Modeling of the Israel-Palestine Conflict
This research uses cutting-edge natural language processing algorithms to analyze and classify news items about this war. The study extracts different features from a corpus of news items, including social, political, geopolitical, and humanitarian problems, using a combination of BERT embeddings, K-means clustering, and topic modeling. By doing this, the initiative hopes to provide an improved understanding of the conflict's many facets and throw light on recurring themes and issues in the media discourse.
Data Visualization: Nifty 50 Analysis
The project is NIFTY-50 which is related to the National Stock Exchange of India. The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. This project aims to visualize the highest and lowest opening stock prices. Relation between Volume of stocks and Turnover, Percentage change in Stocks in a day, Month, and Year. Using Python for Data Exploration, EDA, and Tableau for Visualizations.
Machine Learning: Player Performance Prediction
This project is about predicting the results of games and athletes' performance. It is particularly well suited for machine learning applications because the performance of the players across different positions can be measured using the same set of statistics. Furthermore, machine learning models like linear regression, Support Vector Regression, Random Forest Regression, etc to predict the performance of individual players in terms of efficiency.
Salesforce
Robotic Process Automation
Microsoft Azure
With a background in Data Science, I possess expertise in Data Analysis and Data Engineering. I am keen on taking up challenging roles that encompass Data Analyst, Data Engineer, and ETL (Extract, Transform, Load).