SAI BHARGHAV CHOLLANGI
860-***-**** github.com/saibharghav https://www.linkedin.com/in/sai-bharghav-chollangi/
EDUCATION
University of Connecticut School of Business
Master of Science in Business Analytics and Project Management August 2022
VNR VJIET Hyderabad, India
Bachelor of Technology in Electrical and Electronics Engineering September 2020
SKILLS
Analytical skills: Predictive Modelling, Decision Tree, PCA, K-Means, Clustering, Linear Regression
Programming Languages: Python, C, JavaScript, SQL, JAVA, R, HTML, CSS, MATLAB
Frameworks: React, Angular, Spring, Hibernate, Apache Spark, Bootstrap
Tools: Kubernetes, Docker, GIT, Oracle, MySQL, VS Code, IntelliJ, Eclipse, PyCharm, JMP
EXPERIENCE
Infotech/Client: Larsen and Toubro, Pune, India
Senior software Engineer- Cloud and Infra Services July 2021 – July 2022
Worked on the tools like OpenShift and allocated memory to the applications developed by web developers.
Resolved the real-time issues on the website for requesting software application
Attained practical knowledge of JAVA, DevOps, and Rest-Api for modernizing full-stack web apps.
Received Promotion from Graduate Engineer Trainee to Senior Software Engineer in (July 2021)
Graduate Engineer Trainee Nov 2020 – Feb 2021
Trained and gained hands-on experience on JAVA, Devops, Rest-Api for developing a full-stack web application in Spring Boot Framework and Spring Security.
ACADEMIC PROJECTS
Helix Project Feb 2022 – May 2022
Developed a front-end application using HUGO where regular meetings are conducted with business lead and deployed in OpenShift Clusters
Home Loan Project Jan 2021 – Feb 2021
Designed an application for a home loan where client can ask for the loan based on personal income and an admin to check whether client is eligible for that loan
Employee Data Sep 2020 – Oct 2020
Utilized Angular for adding the data of an employee and deleting the details of an employee if needed and hosting it on a JSON Server
PERSONAL PROJECTS
Covid 19 analysis Jan 2021- Aug 2021
Analyse the Covid -19 cases worldwide using Johns Hopkins data and plotting the graph cases worldwide, representing the case density in a world map using folium and representing in Choropleth map.
IPL Analysis Oct 2020
Filter the data and plot the data based on their previous matchups. Analysed the matches where more revenue, and the greatest number of matches played in a stadium
CERTIFICATIONS
Google Data Analytics Certification Aug 2022- Present
Foundations of Data Science by One Fourth Labs Sep 2021
Introduction to Python Programming certificate by Microsoft April 2021