TANVI JONNADA
Charlotte,NC
Summary
Adept in Python and machine learning, I leveraged these skills during my internship at COIGN Pvt Ltd, enhancing software solutions and streamlining processes. Collaborating effectively with teams, I demonstrated strong problem-solving abilities and a commitment to excellence, significantly contributing to project successes without exceeding a numerical percentage.
Overview
3
3
years of professional experience
Work History
Intern
COIGN Pvt Ltd
12.2023 - 05.2023
Intern – Software Development | COIGN, Hyderabad
Duration: 6 months
- Developed and debugged clean, efficient, and scalable Python code for various software solutions.
- Collaborated with the team to understand project requirements, translating them into functional software designs.
- Wrote and tested Python scripts, ensuring high code quality, performance, and bug-free functionality.
- Implemented automated solutions to streamline processes and enhance system performance.
- Actively participated in code reviews and contributed to improving best coding practices within the team.
Intern
Al Source Logix Pvt Ltd
07.2022 - 10.2022
- Completed Internship Program in Python
Intern
EduSkills
10.2021 - 12.2021
EduSkills
AI/ML Intern
October – December 2021 (10 weeks Virtual Internship)
- Completed a comprehensive 10-week virtual internship focused on artificial intelligence and machine learning concepts.
- Gained hands-on experience in building machine learning models using Python and popular libraries like TensorFlow and Scikit-learn.
- Worked on real-world datasets to apply machine learning algorithms, such as regression, classification, and clustering.
- Demonstrated proficiency in the AI/ML lifecycle, from data collection and preparation, to model deployment and performance tuning.
Intern
Microchip Academic Program
04.2021 - 05.2021
Microchip Academic Program
Intern
April – May 2021
- Completed hands-on training on AVR microcontroller and Arduino programming, gaining practical experience in embedded systems development.
- Designed and implemented an Automatic Switch Irrigation system as part of the internship project, utilizing microcontrollers for efficient water management.
- Programmed and tested microcontroller circuits for automation tasks, demonstrating proficiency in hardware and software integration.
- Developed project documentation, including a detailed report on the design, implementation, and outcomes of the irrigation system.
Certificate Course Participant
Microchip Academic Program
06.2020 - 07.2020
Microchip Academic Program
June 25 – July 18, 2020 (Certificate Course)
- Completed a certificate course focused on hands-on training with Arduino boards and PIC18 microcontrollers.
- Gained practical experience in programming and troubleshooting embedded systems, with a focus on microcontroller-based projects.
- Developed and tested projects using Arduino and PIC18, demonstrating skills in hardware interfacing and embedded system design.
- Enhanced knowledge of embedded programming, sensor integration, and real-time system development.
Education
Master of Science - Information Technology
The University of North Carolina at Charlotte
Charlotte, NC12.2024
Bachelor of ELECTRONICS AND COMMUNICATION ENGINEER -
Sreenidhi Institute of Science and Technology
01.2022
Skills
- Python
- C
- C Language
- SQL
- Machine Learning
Projects
Project: Face Mask Detection Using Python and Deep Learning
- Developed a face mask detection system using Python and Deep Learning techniques to identify whether individuals are wearing face masks.
- Utilized Convolutional Neural Networks (CNNs) for image classification, achieving accurate detection through model training on a diverse dataset of face images.
- Implemented the project using TensorFlow and Keras libraries, integrating real-time image processing for mask detection via a webcam.
- Focused on reducing the spread of COVID-19 by providing an automated solution for monitoring face mask usage in public spaces.
- Achieved high model accuracy, demonstrating the ability to classify images in real-time with a practical application for health and safety.
Project: Liver Patient Analysis Using Machine Learning
- Developed a machine learning model to predict liver disease based on patient health data and medical parameters.
- Implemented various classification algorithms such as Logistic Regression, Random Forest, and Support Vector Machine (SVM) to assess the risk of liver disease.
- Utilized Python and libraries such as Pandas, Scikit-learn, and Matplotlib for data preprocessing, feature engineering, and model evaluation.
- Analyzed a medical dataset containing factors like age, gender, and liver function tests, improving the model's accuracy in predicting liver disease.
- Achieved significant accuracy in classification, providing a predictive tool to aid healthcare professionals in early diagnosis and intervention.
Leadership and volunteer experience
- Save the Children, 12/22, Save the Children fights for children’s rights. Save the Children delivers immediate and lasting improvements to children’s lives.
- Street Cause at SNIST, 05/20 - 02/21, Social Service Coordinator, Was a part of a team that helped in collecting funds for children during pandemic.
- Cultural Club, 2015 - 2016, Head, Organized and planned school events. Was the internal and external representative for the school.
Timeline
Intern
COIGN Pvt Ltd
12.2023 - 05.2023
Intern
Al Source Logix Pvt Ltd
07.2022 - 10.2022
Intern
EduSkills
10.2021 - 12.2021
Intern
Microchip Academic Program
04.2021 - 05.2021
Certificate Course Participant
Microchip Academic Program
06.2020 - 07.2020
Master of Science - Information Technology
The University of North Carolina at Charlotte
Bachelor of ELECTRONICS AND COMMUNICATION ENGINEER -
Sreenidhi Institute of Science and Technology
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