Pranay Rao Allampalli is an AI and data science aspirant currently studying at the University of South Florida with a B.Tech in Electronics and Communication Engineering from National Institute of Technology Warangal. He has work experience as a Manager of IT Infrastructure and Operations at Reliance Industries Ltd. in Mumbai and internship experience at Kautilya Advanced Research Centre and Electronics Corporation of India Ltd. His skills include machine learning, AI, Python, SQL, R, and LaTeX. He has completed Coursera certifications in deep learning, statistical inference, and financial accounting. His major projects include developing a decision tree model to predict Titanic survival with 78% accuracy and a modified regression model to predict loan interest

1. Pranay Rao Allampalli
A.I. & Data Science Aspirant
pranayrao@mail.usf.edu
House# 123 Oak Ramble 42 Street Tampa FL
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Education & Work Experience
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National Institute of Technology Warangal
B.Tech. in Electronics & Communication Engg.
University of South Florida Tampa
M.S. in Business Analytics & Information Systems
Manager (IT Infrastructure & Ops)
Reliance Industries Ltd. Mumbai
Intern
Kautilya Advanced Research Centre
Intern
Electronics Corporation of India Ltd.
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Machine Learning
A.I.
Python
SQL
R
LaTeX
Skills Certifications
Coursera:Deep Leaning.AI
Coursera:Statistical Inference
Coursera:Financial Accounting
EduPristine:Business Analytics
Major Projects
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Pranay Rao Allampalli (2019). 1) Developed a decision tree model to predict whether a person
will survive the Titanic disaster with 78% accuracy. 2) Developed a modified Regression model
to predict the interest rate on a loan to be given by a bank based on 15 parameters such as
Amount Credit Income & Employment Status with 87% accuracy.
Pranay Rao Allampalli (2018). Portal to monitor Enterprise−wide used Software Usage, Hardware
Inventory & System Centre Client Health Using Power BI & System Centre Configuration Manager.
Pranay Rao Allampalli, Tarang Mehrotra & Md. Shaikshavali (2016). Data Aggregation in Wireless
Sensor Networks.