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Shashank Cheppala

Data Analytics & Machine Learning Explorer

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About Me

I'm a passionate Data Analytics graduate student at the University of Illinois, Springfield with a strong foundation in Computer Science. My journey in the data universe revolves around extracting meaningful insights from complex datasets and building predictive models that drive decision-making.

With expertise in Python, SQL, Machine Learning frameworks, and data visualization tools, I transform raw data into actionable intelligence. My approach combines technical precision with creative problem-solving to tackle complex data challenges.

I'm continuously exploring the frontiers of artificial intelligence and machine learning, with a particular focus on developing systems that can make a positive impact on society.

Education

University of Illinois, Springfield

January 2024 - Present

Master of Science - Data Analytics

GPA: 3.95

Courses: Machine Learning, Big Data Analytics, Statistical Computation, Database Concepts, Deep Learning, Data Visualization

TKR Engineering College

July 2019 - June 2023

Bachelor of Technology - Computer Science

GPA: 3.3

Courses: Operating Systems, Data Structures, Analysis Of Algorithms, Artificial Intelligence, Machine Learning, Networking, Databases

Technical Universe

Languages

Python 95%
SQL 90%
R 85%
Hadoop 80%

Frameworks & Tools

TensorFlow
Keras
Scikit-learn
Spark
Hadoop
Tableau
PowerBI
Excel
Google Charts
Jupyter
PyCharm

Soft Skills

Leadership
Event Management
Technical Writing
Time Management
Problem Solving
Critical Thinking
Communication
Teamwork
Python
SQL
TensorFlow
Spark
Keras
PowerBI

Professional Journey

Survey Data Analyst

BallotNow | Hyderabad, Telangana

September 2023 - December 2023

  • Survey Coordination: Managed survey schedules and facilitated data collection during election cycles.
  • Data Analysis: Applied data analysis techniques to extract meaningful insights for election officials.
  • Reporting: Prepared and presented reports summarizing survey findings.
  • Public Engagement: Led community outreach initiatives to encourage electoral survey participation.
  • Technology Utilization: Used digital tools to enhance survey efficiency and data management.

Data Analyst Intern

Greenfoods Private Limited | Hyderabad, India

April 2023 - September 2023

  • Data Processing: Streamlined data collection using optimized data mining techniques.
  • Algorithm Development: Developed custom algorithms to automate and enhance data analysis efficiency.
  • Exploratory Data Analysis: Identified trends and patterns in complex datasets to drive actionable insights.
  • Data Validation: Ensured dataset accuracy by performing thorough validation and cleanup.
  • Client Communication: Enhanced client satisfaction through clear and concise data reports.

Innovative Projects

Fake News Detection Using LLMs and Deep Learning

Developing a robust fact-checking system leveraging Large Language Models (LLMs) and deep learning techniques to identify and mitigate misinformation. Focused on enhancing accuracy through advanced NLP methodologies and real-time verification.

Feb 2025 - Present

Python
TensorFlow
Transformers
Jupyter Notebook

House Price Prediction using Machine Learning

Developed a predictive model to estimate house prices based on various features such as location, size, and amenities. Utilized machine learning algorithms to analyze market trends and enhance prediction accuracy.

Aug 2024 - Dec 2024

Python
Scikit-Learn
Jupyter Notebook

Prediction of Diabetes Mellitus Using Soft Voting Classifier

Developed a machine learning model to predict diabetes using multiple classification algorithms. Used the PIMA Indians dataset to analyze key health attributes for prediction.

Jun 2022 - Dec 2022

Python
Jupyter Notebook
PyCharm

Research Publications

A Comprehensive Approach to Sentiment-Based Dynamic Pricing

Published research paper on real-time pricing adjustments using sentiment analysis and machine learning, incorporating ethical considerations.

2024

Python
Machine Learning
Sentiment Analysis
Publication Link

Behavior-Based Incentivization and Predictive Analytics: A Machine Learning Approach to Encouraging Positive Outcomes

Research paper analyzing the impact of behavior-based incentives using machine learning and descriptive analytics.

2023

Python
Data Science
Publication Link

Honors & Awards

Excellence in Event Leadership

Awarded for exceptional leadership and organization of technical events.

May 2023

Certificate Link

Sports Achievement Award

Recognized for outstanding performance in university sports competitions.

May 2023

Certificate Link

Academic Excellence Award

Awarded for maintaining exceptional academic performance.

December 2022

Certificate Link

Volunteer Experience

Blood Donation Campaign - Friends2Support

Conducted online and offline technical & soft-skills training impacting over 3000 students.

January 2020 - December 2023

Telangana, India

Event Organizer at Google Developers Group Kolkata

Organized events, conducted workshops and delivered workshops reaching over 7000 developers.

January 2018 - Present

Kolkata, India

Connect With Me

Feel free to reach out for collaborations, opportunities, or just to say hello!

notedevelopment@gmail.com
linkedin.com/in/shashank-cheppala
github.com/shashank-cheppala
Illinois, USA