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Machine Learning Information Technology

Dallas, TX
January 31, 2024

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BHARGHAV VARMA JAMPANI +1-682-***-**** Arlington TX


Master of Science, Computer Science Jan 2022 – Dec 2023

The University of Texas at Arlington, TX. GPA: 3.3

Related coursework: Data Mining, Design and Analysis of algorithms, Machine Learning, Data Analysis and Modelling Techniques,Web data management,Software engineering,Artificial Intelligence,Numerical Methods,spec tops theory/algorithms,Advanced Computing models and algorithms

Bachelor of Technology in Information Technology July 2017-April 2021

Srm institute of science and technology, Chennai, India. GPA: 3.2


Languages: JAVA, python, C++, JavaScript.

Frameworks: Spring, Spring boot.

Microservices:-Rest, SOAP.

Web Technologies: HTML, CSS, React.

Databases: MySQL.


Exploratory Data Analysis [pandas, R] Aug2023- Nov 2023

Loaded a 10 different data sets from Kaggle and conducted some analysis using the Pandas library and R software to get the detailed insights of the data.

Documented the insights to get a clear picture of the data set..

Secure Drive for Distribution of Tamper Proof Question Paper Jan 2023- April 2023

Developed a web portal for easy transfer of tamper proof question paper. Using this portal exam branch admins can easily send different set of papers to affiliate colleges.

Developed this website using various programming languages mainly Java, JSP, MySQL, HTML, CSS. By using this we added security.

In this we added 5 layers of protection such as Authentication, Geo Location (IP address), Fingerprint, OTP

verification and Encryption/Decryption method.

Online Hostel Booking Website June 2022- Dec 2022

Developed a web portal for online allotment of hostel accommodation to the students based on their course and collect

the fee accordingly.

•Developed this website using HTML, MySQL, PHP programming languages.

•We also created a dashboard for admin where we can track each and student allotment status.

•This removed ambiguity of allotting same room to multiple students and have a transparency for transactions

Developing a Machine Learning Model to identify traffic signs

August 2020- May 2021

Developed it using deep learning algorithm.

Developed using convolution neural network .We take pictures from camera and identify these signs which are too far that are not visible and identify them very accurately.

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