Dnyanda Sarnobat
@dnyandasarnobat
I build data analysis and machine learning projects using Python, SQL, and visualization tools.
What I'm looking for
I've analyzed educational multimodal data with IIT Bombay's Centre for Educational Technology, helping build sentiment classifiers from EEG, GSR, facial-action, and self-report data. I prepared data, extracted features, and evaluated Random Forest, SVM, LSTM, and Transformer models using Python, TensorFlow, PyTorch, and Scikit-learn.
I've also designed a normalized e-commerce database in MySQL and built SQL analyses for revenue, customers, products, and orders. My projects include Twitter sentiment classification using TF-IDF, Logistic Regression, Naive Bayes, and Tweepy, alongside ongoing learning in data analytics and business intelligence.
Experience
Work history, roles, and key accomplishments
EdTech Internship Program – Track 1: Educational Data Analysis
Centre for Educational Technology, IIT Bombay & EdTech Socie
Jun 2025 - Oct 2025 (4 months)
Worked as part of a 4-member team on the project 'Multimodal Sentiment Analysis', classifying human emotions using EEG, GSR, Facial Action Units, and Self-Report data. Performed data preprocessing and built machine learning and deep learning models including Random Forest, SVM, LSTM, and Transformer.
Education
Degrees, certifications, and relevant coursework
D.Y. Patil College of Engineering, Kolhapur
Bachelor of Technology, Computer Science Engineering (Data Science)
Grade: 7.8/10 CGPA
Pursuing a Bachelor of Technology in Computer Science Engineering with a focus on Data Science, expected graduation in 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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