Ashnuta Upadhyaya
Data Scientist and MS Applied Data Science student
Los Angeles, California
Joined March 2026
Network
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Summary
Applied machine learning researcher with peer-reviewed conference publications in time-series forecasting and related ML tasks. doi+2
Academic background grounded in Computer Science (BTech) with active research contributions while at Manipal University Jaipur. google+1
Early-career practitioner combining industry and research experiences, holding roles that include a data scientist position at USC Marshall and research roles/ internships (ISRO, Manipal University Jaipur). rocketreach
Demonstrated interest in applied AI topics such as NLP, computer vision and practical ML applications (evidenced by publications and conference contributions). google+2
Work
Education
Writing
Time series forecasting for Energy Consumption using Machine Learning
January 1, 2024Conference paper proposing a two-stage approach combining statistical feature extraction with deep learning for improved energy consumption forecasting and interpretability (uses XGBoost for feature evaluation and integrates Shapley values for explainability).
An evolutionary automated HR interview system
January 1, 2024Listed item (patent/paper) attributed to the author in academic profile listings.
SMS Spam Classification Using Machine Learning Techniques
Work on classifying SMS spam using machine learning methods (listed on ResearchGate).
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