About
I am a dedicated data science enthusiast with a strong foundation in computer science. My educational background includes a Bachelor's degree in Computer Science [Hons.] and ongoing studies towards a Master's degree in Data Science. I have acquired expertise in a variety of programming languages, including Python, C, and Java, and I am well-versed in a range of data science libraries and frameworks, such as OpenCV, NumPy, Pandas, Scikit-Learn, Seaborn, Prophet, TensorFlow, Keras, Pytorch, and Ultralytics. My skill set encompasses data analysis, data mining, data visualization, and machine learning, with a focus on deep learning. I am also adept at statistics, mathematics, and data structures. In addition to my technical skills, I have a strong aptitude for digital marketing, effective teamwork, and clear communication in multiple languages, including English, Hindi, and Bengali.
Employment
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Education
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Projects & Funding
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Publications (6)
- Review of the Performance of CNN Models on Handwriting Recognition Save
- A Comparative Assessment of Deep Learning for Adaptable DDoS Threat Detection in Cloud Computing Systems Save
- Deep Learning Approaches for Automated Diagnosis of Polycystic Ovary Syndrome Using Medical Imaging: A Comprehensive Survey Save
- Detecting Schizophrenia Patients Using Deep Learning Models Save
- Towards Automated Screening via Two-Stage Deep Learning: A Pipeline for Classification and Localization of Bleeding from Wireless Capsule Endoscopy Visuals Save
- Simple Moving Average (SMA) Crossover Strategy with Buy Sell Indicator Save