IPL Insights & Dashboards
→
Summary
Performed in-depth analysis of IPL 2024 match data to uncover performance trends, visualize player metrics, and derive actionable insights for sports analytics.
Highly motivated MCA graduate with a strong foundation in Data Analytics, Java development, and LLM integration, seeking to leverage expertise in machine learning, data quality enhancement, and web application development to drive data-driven insights. Proven ability to optimize reporting efficiency by 30% and deliver robust solutions using Python, Java, SQL, and Power BI for impactful business outcomes.
Data Science & Analytics Intern
Chennai, India
→
Summary
Led data analytics initiatives, applying machine learning algorithms and data preprocessing techniques to improve predictive modeling and data quality for weather forecasting.
Highlights
Developed and deployed machine learning models, including Linear Regression and SVM, to achieve accurate weather forecasts, significantly improving predictions of temperature and rainfall.
Executed comprehensive data preprocessing techniques, such as feature selection, normalization, and missing value handling, utilizing Python libraries (Pandas, Scikit-learn) to enhance data quality for analytical models.
LLM Integration Intern
Bengaluru, India
→
Summary
Designed and developed a Spring Boot web application to integrate LLM capabilities, significantly boosting reporting efficiency and text processing workflows.
Highlights
Engineered a Spring Boot web application leveraging Eden AI's document parsing API, which enhanced reporting efficiency by 30% through a measurable decrease in manual work hours.
Optimized critical text processing workflows, including extraction, summarization, and keyword identification, by seamlessly integrating the Eden AI API into the application to improve accuracy and speed.
→
Master of Computer Applications
Computer Applications
Grade: CGPA - 8.58
→
Bachelor of Computer Applications
Computer Applications
Grade: CGPA - 8.90
Issued By
IBM
Issued By
Oracle
Java, Python, JavaScript, HTML, CSS.
SQL, Microsoft Excel, Power BI, Pandas, Scikit-learn.
Node.js, Express.js, MongoDB, React, Spring Boot.
Git, QA Workflows, Product Documentation, Machine Learning Algorithms (Linear Regression, SVM), LLM Integration.
Analytical Thinking, Teamwork, Communication, Problem Solving, Structured Analysis.
→
Summary
Performed in-depth analysis of IPL 2024 match data to uncover performance trends, visualize player metrics, and derive actionable insights for sports analytics.
→
Summary
Developed a full-stack web application designed to automate personalized reminders through Email and SMS notifications for enhanced user engagement.