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PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE binita.medium.com EducationUniversity of Alabama in Huntsville Huntsville, US MS Computer Science, Data Science concentration, 3.5 GPA Aug. Street Address   Aug. 2024 (Expected) Thesis: Semantic Clone Detection Using Deep Learning Relevant Courses: Data Mining, Machine Learning, Deep Learning, Design and Analysis of Algorithms, Software Engineering, Programming Languages, Computer Architectures, Computer Security UAH is classified among R1: Doctoral Universities: Very High Research Activity. Tribhuvan University Kathmandu, NepalBachelor of Science in Computer Science and Information Technology Dec. Street Address   Dec. 2019 Graduated in the top Street Address % of the classTechnical SkillsData Science: SAS, R, dplyr, PyTorch, TensorFlow, PySpark, Sklearn, NumPy, pandas, spaCy, NLTK, MySQL Visualization: Matplotlib, seaborn, Plotly, Tableau, Power BI, ggplot2, Mapbox GL JS Others: AWS, Git and GitHub Actions, GraphQL, Jenkins, LaTeX, Docker, Flask ExperienceGraduate Research Assistant (Data Science) Aug. 2022  Present NASA-IMPACT, University of Alabama in Huntsville Huntsville, US Designed and developed deep learning-based semantic clone detection system with AUC score of 0.85 Developed a word embedding model for Python source code tokens using Word2Vec architecture Used NLP and data mining techniques like TF-IDF to extract keywords in earth science documents Automated the manual process of data extraction, data munging, and data visualization using Python requests module (Asana API), pandas, and matplotlib respectively Automated the manual GitHub tasks such as assigning GitHub issues to projects using GitHub GraphQL API and leveraging GitHub Actions to Schedule the Jobs Visualized the earth science physical variables such as CO2 concentration using Mapbox GL JS Data Scientist (Intern) Apr. 2021  Jul. 2021Open Knowledge Nepal Kathmandu, Nepal Analyzed Nepals COVID data and published a blog on COVID situation of Nepal using WHO weekly reports Scraped, cleaned, wrangled, and visualized COVID data from WHO reports using Python (pandas, plotly) Blog Link: https://oknp.org/blogs/how-the-charts-tell-us-about-covid-situation-in-nepal Honor & AwardData Fellowship 2021 Code For Nepal/Open Knowledge Nepal Feb. 2021  Jul. 2021 Completed 113 hours long Machine Learning Scientist with Python track under DataCamp Top 10% of Code For Nepal/Open Knowledge Nepal learners on DataCamp Blog Link: https://codefornepal.org/2021/07/11/Experience-being-a-data-fellow-at-Code-for-Nepal ProjectsMovie Recommender System Recommender Systems Apr. 2022  Aug. 2022 Developed collaborative filtering-based movie recommender system with R 2score of 0.82 Applied machine learning techniques like content-based filtering and matrix factorization Chicago Crime Rate Prediction System Time Series Forecasting Jan. 2022  Mar. 2022 Used forecasting tool Facebook Prophet to predict Chicago crime rates at different locations and times and achieved MAPE score of 15%Vegetable Leaf Prediction System Computer Vision Sep. 2021  Dec. 2021 Developed a deep learning leaf classification system using transfer learning with test accuracy score of 94% Compared performance of several deep learning image encodings such as ResNet, VGG, and Inception