Badges
Certifications
Work Experience
Front End Developer
other• November 2021 - Present
• Collaborate with UI/UX designers and backend engineers to implement responsive web designs, ensuring seamless user experience across devices. • Involved in designing and developing the webpages using HTML5, CSS3, JavaScript, Bootstrap, React.js. • Worked on React JS Virtual Dom and React views, rendering using components that contain additional components called custom HTML tags. • Implemented Various Screens for the front end using React.js and used predefined components using NPM (Node Package Manager) and Redux library. • Implement and maintain State management solutions (Redux) to manage application data and improve code maintainability. • Lead the front-end development efforts for the Blood Saviour project, resulting in a 30% increase in user engagement. • Conduct code reviews and scrum meetings to have constructive feedback from team members, fostering a culture of collaboration and continuous improvement. • Expertise in database development using SQL and PL/SQL creating tables, stored procedures, views, indexes, and triggers. • Responsible for React UI and architecture. • Involved in recruitment team, sourcing right candidates, taking assessment test and optimizing the recruitment process using data analytics tool (PowerBI) • Tracking the team member's performance metrics and reporting them using PowerBI.
Data Anlayst Intern
John Deere• October 2020 - July 2021
Data Analyst Intern : 1. Developed ETL pipeline using Python and PostgreSQL to extract the data from unstructured data and transformed it to the Staging area, Geodata warehouse, and then to the DataMart (OLTP). 2. Agriculture crop data(wheat) and performing Statistical Analysis and removing outliers of data, and mapping both spatial data and non-spatial into structured data. 3. Analysed the dataset, performing job cost calculation to estimate the usage of fertilizers to reduce the cost per hectare, 15-20%, and visualize them using Python and R. 4. Organizing the Drone data and file system in the data network, then analyzing data using SQL queries in PostgreSQL with QGIS and making visualization reports using R. Master thesis Student : 1. Computer vision problem to identify the weed and soil pastures in the grassland using traditional OpenCV techniques like disparity algorithms with help of Qt software with Cpp programming built top view Stereo cameras on the tractor. 2. Comparing the Traditional OpenCV vs advanced Computer Vision Techniques (Deep learning) using Python with Tensorflow 2.0, then making proof of concept of it.
Education
Fachhochschule Neubrandenburg
GeoInformatics, ME• March 2018 - August 2021
Vignan University
Electrical Engineering, B.Tech• June 2011 - July 2015