Drug Efficacy And Adverse Event Analysis
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Summary
Built a Python-based analytical tool to assess drug efficacy and safety profiles against placebo groups.
Highly motivated 4th-year B.Tech student specializing in AI/ML and data analysis, seeking to leverage advanced Python, SQL, and BI tools to deliver data-driven insights and inform strategic decision-making. Proven ability to develop robust models and apply analytical problem-solving to complex datasets, ready to contribute to innovative data analytics environments.
Data Analyst Intern
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Summary
Developed data-driven insights using Python libraries including Pandas, NumPy, Matplotlib, and Seaborn. • Gained hands-on experience by working on end-to-end projects, from data cleaning and feature engineering to modeling and drawing conclusions.
Analytical Thinking, Problem-solving, Stakeholder Management.
Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras), C++.
Windows.
MySQL.
Git, VS Code, Jupyter Notebook, MS Excel, PowerPoint, Power BI.
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Summary
Built a Python-based analytical tool to assess drug efficacy and safety profiles against placebo groups.
President, Cultural Club
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Summary
Led the Cultural Club at SAGE University, overseeing major event organization and student engagement.
Highlights
Led a team of 10 members to successfully organize 10-12 major university events, boosting student participation by 65%.
Volunteer
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Summary
Provided essential operational support for the IEEE Conference at SAGE University.
Highlights
Provided essential support for conference operations, including registration, attendee assistance, and logistical setup for events hosting numerous professionals.
Football.
Trekking.