PRANEETH PINNAMREDDY
*******************@*****.*** 321-***-****
LinkedIn - www.linkedin.com/in/PraneethReddy5500
PROFESSIONAL SUMMARY: Aspiring Data analyst with experience in Python, SQL, Tableau, and Power BI who is working for an M.S. in Computer Information Systems (GPA: 3.8). competent in machine learning, data mining, and visualization; has practical expertise in business analytics and NLP-based false news identification. enthusiastic about using data-driven insights to propel business intelligence, biotech, and pharmaceutical innovation.
EDUCATION:
FLORIDA INSTITUE OF TECHNOLOGY DECEMBER 2025
M.S. in Computer Information Systems GPA:3.8
SRM VALLIAMMAI ENGINEERING COLLEGE APRIL 2023
Bachelor’s in information technology GPA:8.3
NARAYANA JUNIOR COLLEGE MARCH 2019
Board of Intermediate Education GPA :9.5
RAVINDRA BHARATHI SCHOOL APRIL 2017
Board of Secondary Education GPA:8.8
PROJECTS:
MACHINE LEARNING-BASED FAKE NEWS DETECTION 2025
Using Python, Scikit-learn, and TensorFlow/Keras, an NLP-based model was developed to accurately categorize news as either true or fraudulent.
For efficient identification, machine learning techniques like logistic regression and random forest were used, along with text preparation and feature extraction.
DATA ANALYTICS PROJECT ON BIKE SALES 2024
Customer demographics, financial position, and buying behaviours were analysed using Excel for data cleansing and statistical analysis to uncover significant factors impacting bike purchases.
Pivot tables and dynamic dashboards were created to illustrate patterns in income, age groups, and regional preferences, allowing for data-driven marketing tactics.
SKILLS
•Programming: Python(pandas), SQL, HTML, CSS
•Data Science: Tableau, Microsoft Excel, Power-BI, Scikit-learn, Data cleaning, Data Visualization.
•Tools: Git, Visual Studio
ACHIEVEMENTS
•Specialization in Machine Learning course by Andrew Ng on Coursera.
•Data Analyst Bootcamp (YouTube-Based Training Program).
•Runners in the Anna University (Chennai) Zone IV cricket tournament.
•Semi-finalist during the NCL (National Cricket League) state-level cricket camp.