I'm an Aspiring Data Scientist and MLOPs engineer. Currently pursuing my Bachelor's in Computer Science Engineering. Upskilling myself on building scalable, data-driven solutions and the deployment of machine learning models in cloud and production environments.
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Programming Languages: Python, Java, C++, C, SQL
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Data Structures & Algorithms: Strong problem-solving skills with a solid foundation in DSA
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Databases: MySQL, JDBC, MongoDB
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Data Science & Machine Learning: ML algorithms, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Model Deployment
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Cloud Technologies: Hands-on experience with AWS services like S3, EC2, ECR, and more
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Tools & Frameworks: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scikit-learn, Docker, FastAPI, Flask, Streamlit, Git, MLflow, JavaFX
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Development Tools & Platforms: Git & GitHub, IntelliJ IDEA, Visual Studio Code, Anaconda, Jupyter Notebook, Hugging Face Hub, Scene Builder
I'm dedicated to advancing my expertise in MLOps and LLMs, focusing on automating ML pipelines, optimizing model performance, and exploring innovative AI-ML solutions. I'm eager to contribute to open-source projects and collaborate on cutting-edge technologies in Data Science and AI.