About
Data Science undergraduate with hands-on experience in NLP, classification, and regression through ML internships and end-to-end projects. Skilled in Python and Scikit-learn, with a 94% F1-score on a real-world NLP task.
Experience
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Machine Learning InternArvyaX2026 – 2026
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Machine Learning InternCodSoft2025 – 2025
Education
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B.TechITM SLS BARODA UNIVERSITYComputer Science Engineering (AI & Data Science) · May 2024 – 2028
Skills
Projects
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Weather Data AnalysisMatplotlib, Statistical Analysis
Analyzed temperature, humidity, and rainfall patterns to identify seasonal trends using statistical analysis and visualizations.
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Sales Data AnalysisPandas, Matplotlib
Cleaned sales data, calculated revenue and profit margins, identified top-performing products, and analyzed monthly trends with visualizations.
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Movie Rating PredictionLinear Regression, Random Forest Regressor, Feature Engineering
Predicted IMDb ratings using genre, director, actor, votes, duration, and year; Random Forest outperformed the Linear Regression baseline after adding a Votes_log feature.
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Emotional State Prediction SystemTF-IDF, Random Forest, Decision Engine
Combined TF-IDF with meta features into a 68-feature matrix; Random Forest Classifier achieved 94% F1 score, paired with a Decision Engine for action recommendations.
Courses & certifications
- CodSoft ML Internship — Movie Rating Prediction · CodSoft · 2025
- ArvyaX ML Internship — Emotional State Prediction · ArvyaX · 2025
🎯 Hobbies & interests
- My hobbies include learning new technologies
- exploring Data Science and AI
- listening to music
- and watching informative videos. I also enjoy working on per