I'm currently pursuing a B.Tech in Computer Science and Engineering with a specialization in Data Science at Periyar Maniammai Institute of Science & Technology.
Passionate about technology, my focus gravitates towards Data Science , Networking and graphic design. I've adeptly honed my skills in Python and data visualization
tools like Tableau . Additionally, my proficiency extends to database management with SQL and graphic design.
My experience encompasses various projects revolving around data science and Machine learning, where I've leveraged my skills to derive insights and create meaningful solutions.
I'm enthusiastic about exploring opportunities where I can continue to learn, grow, and collaborate with like-minded professionals in the realms of data science.
Checkout my Resume
I have successfully completed the NPTEL Online Certification course "The Joy of Computing using Python". This 12-week course, held from January to April 2024, has significantly enhanced my understanding of Python programming and its practical applications.I'm excited to apply these new skills and knowledge to my future projects.
Completed virtual internship in Data Science at Codsoft and Tech Octanet.
I participated in the Spring 2024 Battle of Brains Coding Contest held on April 13, 2024, and have received a Certificate of Participation! The University of Texas at Dallas for organizing the UTD BOB Spring 2024 Hackathon. This experience has been incredibly valuable for my personal and professional development, allowing me to hone my coding skills and collaborate with talented individuals.
I just completed Accenture North America's Data Analytics and Visualization on Forage.In the simulation I:Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions .
This Project using five distinct machine learning algorithms: logistic regression,Gaussian Naive Bayes, decision tree, support vector machine and neural networks. The Project aims to compare the performance of these algorithms in accurately predicting diabetes status based on patient medical data. View Project
The Mobile recharge portal system with seamless transactions, user-friendly interfaces, and a comprehensive range of recharge options, Our aim is to provide convenient and efficient mobile recharge solutions, enhancing connectivity for users while prioritizing reliability, simplicity, and customer satisfaction.
View Project
This exploratory data analysis project focuses on understanding various aspects of student mental health based on a dataset. The dataset includes information about students' gender, age, course, year of study, CGPA, marital status, and responses to questions related to depression, anxiety, panic attacks, and seeking specialist treatment.
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Applied data science techniques to real-world problems, delivering actionable insights and solutions . Utilized Python and tools like pandas, NumPy, and Matplotlib to clean, analyze, and visualize data & developed and evaluated machine learning models to predict trends and outcomes and gained experience in data manipulation, statistical analysis and model deployment.
Gained proficiency in industry-standard tools such as Adobe Photoshop, Illustrator,Canva etc. Designed logos, brochures, and social media graphics to support marketing campaigns. Worked closely with the marketing team to ensure cohesive visual branding and effective communication of ideas.
Acquired foundational knowledge of Python, including syntax, data structures, and basic algorithms. Developed and tested various simple games using Python to strengthen coding skills and problem-solving abilities and developed search engine project focusing on optimizing word occurrence algorithms for efficient information retrieval.
