PSParth is a highly analytical software engineer with expertise in automation, software development, and complex data analysis. He has experience utilizing tools like Python, Pandas, and machine learning to solve business problems. He is skilled in collaborating with teams and improving code quality while serving as a primary liaison between customers and development teams.
Experience
Software Engineer - Backend & Analytics
SalaryBox (YC S'21)
Served as primary liaison between software customers and development team, relating feedback and concerns for future patch cycles. Consulted with clients to align future software development with customer priorities. Analyzed proposed technical solutions based on customer requirements, budget and product goal. Worked on improving the code quality of existing codebase by introducing some good coding practices. Worked on complex analytical problems related on business needs.
Software Developer - Backend & Automation
Koders
Built tools to automate processes such as onboarding process for clients, incoming talent, existing team and partners. Improved data collection methods by designing surveys, polls and other instruments. Led software development initiative as subject matter expert and primary point-of-contact for user profile project. Collaborated with business unit team members to design new applications system to enhance client requirements for mobile computing capabilities.
Data Analytics Intern
The Spark Foundation (TSF)
Coordinating our work with the work of the 14-person team with GIT. Developed Python modules for machine learning & predictive analytics. Analysed the data with Numpy and Pandas and presented it using Matplotlib.
Education
University of Petroleum and Energy Studies (UPES)
B.Tech in Computer Science Engineering
Business Analytics Major in Foundational courses in Mathematics, Computing and Statistics
Technical Head of the Open source OPEN community for 1 year. Lead Placement Coordinator of Placement cell in UPES for 1 year. Took additional courses in Analytics & Data Science Ecosystems, Machine learning and Data Visualisation.
Licenses & Certifications
SQL for Data Analysis
Udacity
Python, Statistics, Problem Solving, C++ and SQL
HackerRank
Introduction to Data Science in Python
DataCamp
Innovation & Entrepreneurship
EIT Digital