Sai Ram Prakash Jujala
Phone 518-***-**** Email *****************@*****.*** LinkedIn linkedin.com/in/sai-ram-prakash-jujala EDUCATION
University at Albany SUNY, New York, NY Expected Grad. Date: Dec. 2021 Master of Science in Applied mathematics, GPA 3.45/4.0
(Relevant Coursework: Business Analytics and Data Mining, Applied Statistics, Modern computing for mathematicians) Koneru Lakshmaiah University, Deemed to be University, Vaddeswaram, India Grad. Date: June 2019 Bachelor of Engineering in Computer Science and Engineering
(Relevant Coursework: Advanced Data Structures, Object Oriented Programming, Software Engineering, DataBase Systems, Artificial Intelligence)
TECHNICAL SKILLS
Languages: Python, R, C, HTML, CSS, PHP, JavaScript, MySQL Frameworks: JQuery, AngularJS
Operating Systems/Tools: Linux Shell, macOS
PROFESSIONAL EXPERIENCE
Wipro Limited – Software Engineer Intern, Hyderabad, TS, India April 2018 – April 2019
• Developed frontend software for automation of FedEx Ground-Ground Hubs
• Performed data retrieval operations on delivery status using sql.
• Provided technical support to team on daily tasks based on priorities by using Java nDimension – Intern, Data Engineer, Vaddeswaram, India June 2016 – December 2016
• Collected Data from local stores and performed Data preprocessing operations
• Developed a recommendation system by using Neural Networks Embedding PERSONAL PROJECTS
Student Performance in Exams Python PyTorch
• Analyzed a Student performance dataset and programmed a neural network to predict parental Background.
• Accurately classified the parental Background at a high accuracy of 98.75% Student Course Registration HTML CSS PHP
• Developed web pages for student course registration and performed retrieval operation using PHP
• Awarded as the best project in the class for best Graphical Interface Library Management System MySql
• Developed a DataBase for performing daily operations in a library
• Applied Normalization techniques to eliminate the undesirable characters ACADEMIC PROJECTS
US Car Accident Python
• Analyzed a us car accident dataset and used regression models to predict the severity of the accident
• Accurately classified the severity of the accident at a high accuracy of 97.5% Water Tax Billing System Java
• Applied the concept of file to extract previous month reading and calculated the total bill for the month
• Applied the concept of multi-threading to compute the bill based on the slab ACHIEVEMENTS
• Stood as Runners up in inter-college football competition,2016-2017.
• Won a bronze medal in hacker Rank week of code 32.