A Data enthusiast with a zeal of learning new technologies in the analysis and development industry. Experienced Software Developer with a demonstrated history of working in the research based environment. Skilled in SQL, Java, JavaScript, Python. Understanding of cloud fundamentals (Oracle Recognized OCI Cloud Associate) and databases. Implemented and driven multiple projects in machine learning, data mining, software development and business intelligence domain. Hands-on experience with different business management and visualization tools - Power BI, Tableau, Microsoft Dynamics 365 (Sales) and IBM SPSS. An excellent team player with ability to execute tasks in agile environment.
-
Experience
I have worked with SAP Labs, India as Software Developer Associate. I was part of Cloud Platform team which worked on SAP Web Analytics project. The scrum and agile led development provided me a chance to work in diverse roles which include designing single page web application, implementing REST APIs, creating data models and database queries, solving customer issues.
SAP Web Analytics (SWA) project is a big data analytics web application with the fundamental idea of providing insightful information to customer websites. It is hosted as SaaS on Cloud Foundry platform.
Responsibilities:
• Implemented and tested APIs (Java, Swagger, Postman)
• Created Single Page Application using JavaScript (NodeJS and OData framework)
• Implemented backend server with Java - Spring Boot framework • Data mining using SQL and SAP HANA Calculation Views
• Implemented Data Privacy and protection framework (GDPR)
• Worked on customer issues (bugs, BCP incidents and custom development)
-
Projects
1. Neonatal Mortality Prediction - Statistical analysis of newborn mortality rate based on factors including health of conceiving mothers, availability of medical facility and adolescent birth. A linear regression model was applied using R programming and IBM SPSS.
2. Comparative study of Machine Learning Algorithms - Applied different classification and regression algorithms on suitable datasets for model evaluation, visualization and comparison.
3. Analysis system for Indian Hotels based on Online Travel Portals - Implemented a project with ETL process flow using relational and non-relational databases to store data for aggregation and visualization.
4. Road accidents analysis - Used statistical techniques to analyze how wearing of seat belts while driving affects the degree of road accidents in a country.
5. Business Analytics Solution for FirstCry.com - Implemented a solution using Microsoft Dynamics 365 and Power BI which will help FirstCry, an ecommerce company to manage different business areas using intuitive dashboards.
6. Computer-aided garbage detection using deep learning - Compared Image processing and deep learning models to classify six different types of garbage for low cost and optimal waste management.
7. Predictive analysis of airline passenger satisfaction level - A machine learning model with Power BI visualizations was performed to predict satisfaction level of airline customers.
8. Computer-aided model for early detection of laryngeal cancer (on-going thesis/research project)