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I am passionate about working with data and have hands-on experience in data analysis, machine learning, and AI-driven projects. My background includes building and optimizing ML models for various domains such as fintech, real estate, and sports analytics, where I have managed large and complex datasets, performed extensive data cleaning, preprocessing, feature engineering, and annotation. I am proficient in Python, SQL, and key data science libraries like Pandas, sklearn, TensorFlow, and Keras, as well as visualization tools such as Power BI and Tableau. Through internships and personal projects, I have developed scalable ML pipelines, conducted exploratory data analysis, and engineered high-quality training data to improve model accuracy. I am detail-oriented and committed to delivering reliable, well-labeled datasets that drive impactful AI solutions.
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Bachelor of Technology with Honours, Civil Engineering
Master of Technology, Environmental Engineering and Management
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Product Analyst Intern