About Me
Sharmin Sultana Akhi holds a Master's in Computer Science from Monroe University in New York, USA. She specializes in machine learning and artificial intelligence, and has a strong foundation in programming and data analysis. Her primary focus is on applying AI techniques to healthcare diagnostics to improve patient outcomes. She also has research interests in enhancing cybersecurity, optimizing customer segmentation, and Blockchain.
Experience
Graphics Designer & IT Support
SOUL SENSE INC
May 9, 2025 - August 1, 2025
- Developed visually appealing graphics for garments brands.
- Provided expert assistance for hardware and software issues.
- Implemented robust data security measures.
Web Developer
GCTL Infosys
Jan, 2022 - April, 2023
- Developed and maintained responsive web applications.
- Collaborated with cross-functional teams.
- Utilized modern web technologies and frameworks.
Skills
- C, C++, C#, Python, PHP, CSS, JavaScript
- Node.js, React, Mongoose, MongoDB, MySQL, HTML & CSS3, GitHub, Bootstrap, Algorithm Design & Analysis, Data Structure Problem Solving
- Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn
- Data Processing: NumPy, Pandas, Matplotlib, Seaborn
- Techniques: Supervised and Unsupervised Learning, Neural Networks, Natural Language Processing (NLP), Reinforcement Learning
- Tools: Jupyter Notebook, Google Colab, Anaconda
Research & Publications
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Evaluating machine learning models for optimal customer segmentation in banking: A comparative study
The American Journal of Engineering and Technology 6 (12), 68-83, 2024
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Enhancing Banking Cybersecurity: An Ensemble-Based Predictive Machine Learning Approach
The American Journal of Engineering and Technology 7 (03), 88-97, 2025
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Detection and classification of plant diseases in leaves through machine learning
Indonesian Journal of Electrical Engineering and Computer Science 28 (3), 2022
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Deep learning meets early diagnosis: A hybrid CNN-DNN framework for lung cancer prediction and clinical translation
International Journal of Medical Science and Public Health Research 6 (05), 2025
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The Role of AI and Generative AI in US Business Innovations, Applications, Challenges, and Future Trends
Pathfinder of Research 1 (3), 17-33, 2023
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Advancements and Challenges in Software Engineering and Project Management: A 2021 Perspective
Pathfinder of Research 2 (1), 15-15, 2021
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A Detailed Analysis of Machine Learning Algorithm Performance in Heart Disease Prediction
2025 4th International Conference on Robotics, Electrical and Signal …
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Database Management in the Era of Big Data: Trends, Challenges, and Breakthroughs
Pathfinder of Research 1 (1), 15-15, 2020
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Early-Stage Chronic Disease Prediction Using Deep Learning: A Comparative Study of LSTM and Traditional Machine Learning Models
Frontline Medical Sciences and Pharmaceutical Journal 5 (07), 2025
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Machine Learning Techniques and Insights for Cardiovascular or Heart Disease Prediction
Academic International Journal of Engineering Science 3 (01), 22-35, 2025
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