Naveen Reddy
Mareddy

Tallahassee, FL · (786) 896-8068 · naveenreddymareddy27@gmail.com

I’m a passionate software developer and data enthusiast with a Master’s degree in Computer Science from Florida International University. My background bridges the worlds of data engineering and full-stack development, with hands-on experience building scalable data pipelines, dashboards, and web applications. I enjoy working with technologies like Python, SQL, JavaScript, and React, and I have a strong foundation in ETL processes, cloud platforms, and analytics.

Throughout my academic and professional journey, I’ve contributed to both frontend and backend systems, including real-time dashboards, prediction models, and dynamic web platforms. As a Teaching Assistant at FIU, I supported over 200 students in mastering topics like data modeling, system design, and business intelligence tools such as Power BI. During my time at iThots Technology Solutions, I developed modular and responsive interfaces using React.js, integrated APIs, and worked with PostgreSQL to serve thousands of users.

Beyond the code, I value creativity and balance. I find inspiration outdoors and enjoy water activities like swimming and kayaking. I'm also a fan of badminton, cooking, and painting interests that keep me energized and spark creativity in my work. I'm driven by curiosity, teamwork, and the desire to build solutions that make an impact.

Experience

Teaching Assistant

Florida International University

Supported graduate-level coursework by conducting labs and discussion sessions focused on UML-driven system design, object-oriented programming (OOP), and testing methodologies. Guided students through full-cycle software development practices, including data modeling, algorithm design, and unit testing.

Provided one-on-one mentorship for over 200 students on SQL optimization, ETL design, and business intelligence reporting using tools like Power BI and Jupyter Notebook. Assisted with assignment evaluation and feedback delivery using a structured rubric aligned with industry-standard software engineering practices.

August 2024 - April 2025

Student Operational Assistant

Florida International University

Coordinated and scheduled high-volume campus events using internal facility management systems, ensuring accurate room reservations and resource allocations. Created, maintained, and modified official records using Microsoft Excel (VLOOKUP, PivotTables) and Word templates, contributing to efficient documentation and data tracking. Acted as a liaison between student clubs and university administration, assisting in logistics for tabling, promotional events, and room bookings. Monitored building resource needs and maintenance requests, reporting facility requirements via digital work order systems.

Provided front-desk support at the Welcome Center, including handling visitor inquiries, managing building access logs, and operating the lost & found inventory system. Demonstrated adaptability in handling both administrative and customer-facing responsibilities, contributing to smooth daily operations across the student union. Gained proficiency in data entry, document automation, and communication tools to support cross-functional coordination between departments.

February 2024 - July 2024

Front-End Developer

IT'hots Technology Solutions

Built 15+ responsive UI components using React.js, JavaScript, and Bootstrap, improving site usability and accessibility across mobile and desktop platforms by 40%. Integrated RESTful APIs to dynamically render user data and dashboards; used AJAX for real-time updates, reducing page reloads and enhancing UX.

Collaborated with backend team to connect the frontend to PostgreSQL, enabling analytics dashboards for 5,000+ users with secure, scalable data access. Refactored 100% of legacy UI codebase, resolving 30% of known bugs and improving loading performance by 25% through modularization and DOM optimization.

January 2023 - May 2023

NSS Student Volunteer

Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology

Organizing blood donation drives, tree plantings, and Swachh Bharat Abhiyan campaigns; and teaching urban and rural residents about hygiene, health, and social concerns. Assisting with the organization of school and public activities, guaranteeing their successful implementation, and managing crowds at gatherings. Encouraging community involvement in awareness campaigns, youth development programs, and social welfare activities; providing assistance during emergencies and natural disasters.

Volunteering in old age homes and orphanages, as well as providing first aid training, emergency preparedness, and educational help to impoverished youngsters. Leading cleaning drives, anti-drug initiatives, women's empowerment programs, and other activities that promote social peace and national unity.

January 2020 - December 2022

Education

Florida International University

Master of Science
Computer Science

GPA: 3.78

August 2023 - April 2025

Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology

Bachelor of Technology
Computer Science

GPA: 8.7 / 10

June 2019 - May 2023

Projects

Crop Yield Prediction using Machine Learning Technique

Tech Stack: Python, Pandas, Scikit-learn, Jupyter Notebook
In this project, I developed a machine learning model to predict crop yield based on key agricultural and environmental factors. The goal was to assist farmers, agronomists, and policymakers in estimating potential yield outcomes using historical data and climate indicators.
The dataset included more than 10,000 rows of real-world crop information such as state, district, crop year, crop type, season, temperature, humidity, soil moisture, and cultivation area. I used Python and the Pandas library for data cleaning and preprocessing, including handling missing values and encoding categorical features using LabelEncoder.
For modeling, I employed a RandomForestRegressor from the Scikit-learn library with 1000 estimators. The dataset was split into training and test sets using train_test_split, and model performance was evaluated using Mean Squared Error (MSE) and R² score. The model achieved a high level of accuracy with an R² score of approximately 0.88 on the test set, indicating strong predictive capability.
To make the project interactive, I implemented a command-line interface using Python’s input() function. Users can input values like state, district, crop, season, temperature, humidity, soil moisture, and area to receive a predicted yield output from the trained model.
This project demonstrates my ability to handle end-to-end machine learning workflows—from data preprocessing and model training to evaluation and basic user interaction—all within a reproducible and interpretable Jupyter Notebook environment.

Online Bus pass management system

Tech Stack: TypeScript, CSS, JavaScript, PHP, MySQL
The Online Bus Pass System is a full-stack web application designed to simplify and digitize the process of applying for and managing bus passes. The project eliminates the need for manual paperwork and long queues by enabling students and commuters to apply, renew, and manage their bus passes entirely online.
The frontend was developed using HTML, CSS, and JavaScript, delivering a clean and user-friendly interface. On the backend, PHP was used to handle server-side logic, form processing, and communication with the database. Data storage and retrieval were managed using a MySQL database, which stores user information, application details, and pass status.
The application supports secure user authentication, allowing students to register and log in to apply for a new bus pass or renew an existing one. An integrated admin panel allows authorized personnel to review applications, verify details, and approve or reject passes. Users also receive real-time updates on the status of their applications, enhancing transparency and engagement.
This project demonstrates my capability to build a full-stack CRUD-based application, integrate database connectivity, and manage user roles and workflows. It highlights my skills in web development, backend scripting, and practical database management.

Skills

Programming Languages & Tools
Workflow
  • Data-Driven Development & Dashboard Design
  • ETL Pipeline Construction & Data Modeling
  • Responsive Front-End Development (HTML, CSS, React.js)
  • API Integration (RESTful Services with JavaScript & Python)
  • Version Control with Git & GitHub
  • Database-Driven Applications (MySQL, PostgreSQL)
  • Report Automation using Excel, Power BI & SSRS
  • Agile Development & Scrum

Certifications

CCNA

Cisco Certified Network Associate (CCNA)

IBM

IBM Certified Machine Learning with Python

VMware

VMware Security Administration

  • Developing Android Apps with App Inventor
  • Data Science Foundations: Data Mining in Python
  • AWS for Developers: DynamoDB
  • Distributed Databases with Apache Ignite
  • Vel Tech University - NSS Best Student Volunteer

Interests

Outside of my professional and academic pursuits, I find great joy in spending time outdoors and engaging in water activities. Swimming and kayaking allow me to unwind, stay active, and reconnect with nature. These experiences not only promote personal well-being but also help sharpen my focus and discipline—qualities I bring into my work. I also enjoy playing sports like badminton and pickleball, which keep me energized, competitive, and team-oriented.

On the creative side, I have a deep interest in cooking and painting. Experimenting in the kitchen allows me to blend flavors with the same curiosity I apply to solving technical challenges. Painting helps me express ideas visually and inspires a sense of patience and attention to detail—traits I value in both life and software development. These interests reflect my belief in maintaining a balanced lifestyle that fosters continuous growth and creativity.