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Research Assistant
under Prof. Pawan Sinha (MIT) and Prof. Chetan Ralekar (IIT)
Working on finding the usefulness of non-local differential operators (Disassociated dipoles) for object recognition
April '25 - July '25
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Data Scientist
Nov'23 - Jan'24
Dept. of consumer affairs (Government of India)
Worked on helping the government predict onion prices to help the agricultural sector prepare for supply shocks, market volatility, and policy interventions.
Data Analyst
Nov'23 - Jan'24
Tricolite Electrical Ltd.
Helped predict prices of raw materials like copper, aluminum, and steel, boosting wire department efficiency by over 5%.
Data Analyst
Oct'21 - Nov'21
Arcelor Mittal
Helped analyze vendor data, which informed procurement strategies and pricing decisions at ArcelorMittal.
HBSc Spec. Physics and Mathematics (3rd Year)
Academic interests: Quantum physics, computational neuroscience, deep learning, computational physics, computer vision, statistical learning, cognitive psychology, physics, mathematics, statistics
IBM Quantum Computing (3 courses)
Data Science Specialization (3 courses)
Languages: Python, C
Libraries: NumPy, SciPy, NetworkX, Matplotlib, Seaborn, Pandas, Scikit‑learn, TensorFlow, Keras, TensorFlow‑Quantum, Cirq, Sympy
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