Highly motivated B.E. Computer Science and Engineering student with a strong foundation in Data Science and AI/ML. Possessing hands-on experience in developing sentiment analysis tools, optimizing ETL pipelines, and performing in-depth data analysis, demonstrated through an Intel internship and diverse projects. Eager to apply advanced analytical techniques, machine learning expertise, and problem-solving skills to drive impactful insights in a challenging data-driven role.
Intern
Mohali, Punjab, India
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Summary
As an Intern, I developed and optimized AI-driven sentiment analysis tools, enhancing text classification efficiency and contributing to data-driven insights for future workforce programs.
Highlights
Developed a sentiment analysis tool capable of processing over 50,000 tweets, leveraging Logistic Regression and Naive Bayes classifiers to achieve 85%+ accuracy in categorizing tweets.
Enhanced text classification efficiency by 30% through advanced Natural Language Processing (NLP) techniques, including tokenization, stop-word removal, stemming, and TF-IDF vectorization.
Utilized Orange for comprehensive data visualization and analysis, applying feature engineering and exploratory data analysis (EDA) to uncover hidden patterns in tweet sentiments, improving AI-driven text analysis.
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B.E.
Computer Science and Engineering
Grade: CGPA: 7.5
Courses
Data Structures and Algorithms
Object Oriented Programming
Machine Learning
Natural Language Processing
Database Management Systems
Statistical Methods
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High School
Intermediate
Grade: 83.5%
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High School
Matriculation
Grade: 80.67%
Awarded By
CELESTA, IIT PATNA
Achieved 2nd rank in a competitive drone tussle event at IIT PATNA, demonstrating strong problem-solving and technical application skills.
Published by
Academic Publication
Summary
Processed over 1,000 patient records to identify key factors linked to Coronary Heart Disease (CHD). Discovered that CHD is more common in men (76.5%), with the highest cases in the 50-59 age group, and identified ST segment slope, oldpeak, and resting blood pressure as key risk factors.
Fluent
Fluent
Issued By
IBM
Issued By
NPTEL
Python, C/C++, SQL, HTML, JavaScript.
Pandas, NumPy, Matplotlib, Seaborn, Predictive Analytics, Statistical Analysis, Machine Learning, LLM, Natural Language Processing, A/B Testing, Data Modeling, ETL Processes, Reporting and Dashboarding, Problem Solving, Communication.
AWS Glue, AWS S3, AWS Lambda, AWS Athena, Firebase, Tailwind CSS, Snowflake.
Power BI, IBM Cognos, Tableau, Microsoft Excel (Pivot Tables, VLOOKUP, Dashboards).
Data Structures and Algorithms, Object Oriented Programming (OOP).
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Summary
Designed and implemented a robust end-to-end data engineering pipeline for real-world music data analysis using AWS services.
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Summary
Conducted comprehensive data analysis on Zomato dining data to uncover key customer insights and operational efficiencies.
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Summary
Developed a real-time web application for managing organizational alerts with comprehensive administrative and user features.