I'm a data scientist with expertise in machine learning, big data, and visualization. I specialize in Python, R, and tools like TensorFlow and PyTorch. Let me help you uncover actionable insights from your data.
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Skilled in analyzing complex datasets using tools like Python (Pandas, NumPy), R, and SQL, to uncover insights and trends that support data-driven decisions.
Experienced in building and deploying machine learning models with frameworks like Scikit-learn, TensorFlow, and PyTorch to solve classification, regression, and clustering problems.
Expertise in developing deep learning models using TensorFlow and Keras, with experience in applications like image recognition, natural language processing, and generative models.
Proficient in working with Big Data tools such as Hadoop and Spark, and experienced in creating interactive dashboards using Tableau and Power BI for effective data visualization.
AWS
PyTorch
TensorFlow
SQL
NoSQL
Streamlit
Jul 2024 - Present
May 2022 - Aug 2022
This project is a Streamlit-based sales forecasting app with a backend powered by machine learning models. The app allows users to interact with the model and get sales forecasts for different dates and Walmart stores.
This web application, designed for healthcare practitioners, assists in diagnosing patients by leveraging radiological images making more reliable and unbiased prediction.