University of Delhi
Master of Science, Physics and Astrophysics
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I have a strong background in physics and computational analysis, with hands-on experience in data simulation, parameter estimation, and statistical modeling using tools such as Python, Scilab, and Matlab. My academic and internship projects have involved working with large datasets, applying techniques like chi-square fitting, maximum likelihood estimation, and Monte Carlo Markov Chains to extract meaningful insights from scientific data. I am skilled in programming (Python, C++, Fortran), data visualization, and have experience with annotation tasks in computational physics, including image and signal processing. My work on projects such as analyzing galactic mass ratios and developing real-time sensing systems has strengthened my attention to detail and my ability to ensure data accuracy—skills that are directly relevant to data labeling and AI training data roles. I am comfortable collaborating in multidisciplinary teams, have a keen eye for data quality, and am eager to contribute to high-impact AI and machine learning projects.
Ashok hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Physics and Astrophysics
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