Highly analytical and results-driven B.Tech student in Computer Science Engineering with a strong foundation in machine learning, data analytics, and data engineering. Proven ability to develop and deploy ML models, construct end-to-end data pipelines, and derive actionable insights from complex datasets, as demonstrated through projects achieving up to 85% accuracy in predictive modeling. Eager to leverage expertise in Python, SQL, and various data science libraries to contribute to innovative data-driven solutions in a challenging professional environment.
Awarded By
Advitya Technical Festival
Secured 2nd place in a competitive technical festival, demonstrating exceptional problem-solving and technical skills.
Issued By
IBM
Issued By
NPTEL, IIT Roorkee
Issued By
NPTEL, IIT MADRAS
Issued By
Coursera
Python, C++, SQL.
Pandas, NumPy, Matplotlib, Seaborn, MS Excel, Power BI.
Apache Airflow, ETL Pipelines, APIs, Web Scraping (Selenium, Beautiful Soup), Data Pipelines.
Scikit-learn, Regression Models, Classification Models, Predictive Modeling, Feature Engineering.
Streamlit, Geo-Pandas.
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Summary
Led an individual project to develop and deploy a comprehensive system for real-time accident hotspot detection and severity prediction, leveraging advanced data engineering and machine learning techniques.
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Summary
Executed a virtual internship focused on customer analytics, transforming raw transaction data into actionable insights for marketing strategy optimization.
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Summary
Designed and implemented a machine learning model to predict customer churn for a telecom company, focusing on data-driven insights to retain at-risk customers.