Evelyn JESSICA

Hubballi

Summary

As an motivated researcher and results-driven AI/ML enthusiast, I bring a strong foundation in machine learning, neural networks, and data science. With experience in Python, TensorFlow, Pytorch, and cloud platforms, I am skilled in developing innovative solutions for real-world problems. I am also proficient in tools like Jupyter, Git/GitHub, and Power BI. With a passion for problem-solving, project management, and teamwork, I aim to contribute to cutting-edge research in AI/ML while enhancing my skills in a collaborative environment

Work History

Research Intern

Pravinya Infotech

04.2024 - 07.2024

Company Overview: A technology company focused on innovative research and development
Conducted research to optimize therapeutic sound frequencies for specific neurological disorders using meta-heuristic algorithms
Published findings showcasing innovative applications of therapeutic sound interventions for neurological disorders
A technology company focused on innovative research and development

Education

Bachelor of Computer Application -

KLE Technological University

01.2025

Pre-University Course (PUC) -

P.C. Jabin

05.2022

Secondary School Leaving Certificate -

Convent High School

05.2020

Skills

Programming: Python, Java, C#, SQL, JDBC, MongoDB, Oracle
Machine Learning: Machine Learning, Neural Networks, TensorFlow, Pytorch, DSA (Data Structures & Algorithms)
Cloud & Infrastructure: Docker, Kubernetes, RESTful APIs, CI/CD, Cloud Platforms (AWS, Google Cloud, Azure)
Tools: Microsoft Excel, Power BI, Overleaf, Jupyter Notebook, Git/GitHub, Google Colab, VS Code

Object-Oriented Design: OOPs (Object-Oriented Programming)
AI/ML Specializations: Deep Learning, Natural Language Processing (NLP), Computer Vision, Reinforcement Learning,, Algorithms
Non-Technical Skills: Problem-Solving, Project Management, Team Collaboration, Critical Thinking, Adaptability, Communication Skills, Time Management

Projects

Therapeutic Sound Frequency Generation (01/2024 - 05/2024): Lead the development of algorithms for therapeutic sound frequency generation, focusing on non-invasive applications and data analysis. Role: Led the research and algorithm design, ensuring the project's success in generating effective therapeutic frequencies. Team Size: 2.
Climate Temperature Prediction (01/2024 - 03/2024): Contributed to forecasting long-term climate trends using SARIMA and Prophet models, achieving 95% accuracy. Role: Data Analyst. Involved in data preparation, model implementation, and accuracy validation. Team Size: 2
RUL Prediction: Applied machine learning to predict the remaining useful life (RUL) of batteries and components for optimization. Role: Lead Developer. Led the development of machine learning models and ensured optimization of prediction accuracy. Team Size: 3
Hyperlocal Weather Prediction: Worked with high-frequency weather data for hyperlocal weather forecasting using time series models and machine learning. Role: Data Scientist. Focused on model selection, feature engineering, and analyzing the high-frequency dataset for accurate forecasting. Team Size: 2

Accomplishments

Maintained a CGPA of 9.30 during Bachelor of Computer Application and published research on AI/ML.
Successfully accepted and presented 4 Research papers.
Secured victories 5 times in paper presentation competitions held across different universities.
Completed NCC C certificate in the year 2025

Extracurricular Activities

Dev-fest Pune: Participated in the Google Developers Group event on 11/01/24.
NCC B & C Certificates: Demonstrated leadership and discipline.
Guitar MusicOx: Winner of the Guitar MusicOx competition.

Training

Python, Udemy, 100 Days of code, Python Bootcamp
C#, freeCodeCamp, Microsoft

Languages

English, Native
Tamil, Native
Kannada, Advanced
Telugu, Advanced
Hindi, Advanced

Passions

National Cadet Corps (NCC)
Guitarist

Timeline