Binita Gyawali

256-***-**** ad4367@r.postjobfree.com linkedin.com/in/binitagyawali binita.medium.com Education

University of Alabama in Huntsville Huntsville, US MS Computer Science, Data Science concentration, 3.5 GPA Aug. 2022 – 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, Nepal

Bachelor of Science in Computer Science and Information Technology Dec. 2015 – Dec. 2019

• Graduated in the top 10% of the class

Technical Skills

Data 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 Experience

Graduate 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. 2021

Open Knowledge Nepal Kathmandu, Nepal

• Analyzed Nepal’s 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 & Award

Data 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 Projects

Movie Recommender System Recommender Systems Apr. 2022 – Aug. 2022

• Developed collaborative filtering-based movie recommender system with R 2

score 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

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