RAVINA EDAKE
@ravinaedake
Entry-level data scientist focused on NLP, forecasting, and signal processing, turning data into actionable solutions.
What I'm looking for
I’m an Electronics and Telecommunication Engineering graduate with an M.TECH in Electronics and Telecommunication Engineering (Specialization: Signal Processing). I’m quick to grasp new ideas and concepts, and I enjoy developing innovative solutions through continuous learning and teamwork.
Through internships and hands-on projects, I’ve worked on Document Classification using Natural Language Processing, implemented multiple ML models (including Naïve Bayes, Random Forest, Bagging, AdaBoost, and SVM), and deployed the best model with PyCharm. I’ve also built forecasting models for gold prices (Linear Regression, Neural Network, ARIMA, SARIMAX) with StreamLit, and developed ECG arrhythmia detection and malaria detection pipelines using filtered signals and classifiers like SVM/KNN; I also hold SQL/MySQL and Data Science certifications and use SQL with Tableau.
Experience
Work history, roles, and key accomplishments
Research Writer Intern
Juris Center
Worked as an intern at Juris Center in a research writer position.
Project Intern
ExcelR Solutions
Worked as a project intern for AI Variants provided by ExcelR Solutions.
Curriculum Development Intern
Team Everest
Completed an internship focused on curriculum development with Team Everest.
Education
Degrees, certifications, and relevant coursework
MKSSS’s Cummins College of Engineering for Women
Master of Technology (M.Tech), Electronics and Telecommunication Engineering
Activities and societies: Specialization: Signal Processing. M.Tech project: Cardiac Arrhythmia Detection through ECG Signals (6 months). Publications: IEEE Bangalore; International Conference of Electrical and Electronics Engineering (ICEEE), Pune.
Completed an M.Tech in Electronics and Telecommunication Engineering with a specialization in Signal Processing. Undertook a project on cardiac arrhythmia detection through ECG signals and reported related conference publications.
A.G.P.I.T, Solapur
Bachelor of Engineering (B.E.), Electronics and Telecommunication Engineering
Activities and societies: B.E project: Malaria Detection through MATLAB (6 months). Used RGB-to-grayscale conversion, computed image features, and applied an SVM classifier.
Completed a B.E in Electronics and Telecommunication Engineering. Built a project on malaria detection using MATLAB with feature extraction and SVM-based classification.
Availability
Location
Authorized to work in
Portfolio
github.com/ravina93Job categories
Skills
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