I’m a Data Scientist specializing in machine learning, data visualization, and Microsoft SQL Server. Certified in EPIC’s COSMOS Data Model, I’ve worked on impactful projects in healthcare and finance. Explore my portfolio and connect with me!
Learn MoreA snapshot of my career journey.
Institute for Digital Health and Innovation, UAMS, Little Rock, AR | Jun 2023 – Present
Department of Veterans Affairs, Little Rock, AR | Aug 2023 – Present
COSMOS Research Center, UALR, Little Rock, AR | Aug 2021 – May 2023
Data Glacier, Remote | Summer 2022
Renata Limited, Bangladesh | Nov 2019 – Jul 2021
Explore my data science contributions.
Analyzed healthcare visit impacts on mental health care quality.
Predicted outcomes for OUD patients on Buprenorphine.
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Achieved 92% accuracy in anemia detection using eye images.
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Predicted comment toxicity with 83% accuracy.
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Classified food images with 94% accuracy using VGG19.
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Achieved 94% accuracy in predicting toxic lyrics.
Try ItMy research and press features.
IEEE BECITHCON | 2019
Predicted anemia using decision trees, SVM, and KNN. Read More
4th EICT | 2019
Developed an efficient ML technique for hemoglobin screening. Read More
HUSO 2023 | 2023
Compared toxicity in COVID-19 discourse on Twitter, Parler, and Reddit. Read More
ROMCIR 2023 | 2023
Analyzed toxicity between Twitter and Parler. Read More
ECCE 2023 | 2023
Used NLP and ML to predict lyric toxicity with 94% accuracy. Read More
University of Arkansas at Little Rock | May 2023
CGPA: 3.90/4.00 | Courses: AI, Algorithms, Social Computing
University of Arkansas at Little Rock | May 2023
CGPA: 4.00/4.00 | Courses: Database Systems, Data Science
Chittagong University of Engineering & Technology | October 2019
CGPA: 3.54/4.00
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