Netflix Clone Webpage & Amazon Webpage Clone
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Summary
Developed two distinct, fully responsive web clones: a Netflix landing page and an e-commerce-style Amazon webpage, demonstrating expertise in frontend development.
Results-driven Full Stack Developer with a B.Sc. in Computer Science (AI & ML), adept at building responsive web applications and leveraging machine learning for innovative solutions. Proficient in HTML, CSS, JavaScript, React, Node.js, SQL, and Python, with practical experience in developing AI-powered voice agents and disease detection models. Passionate about contributing to cutting-edge projects and driving technological advancements through continuous learning and robust coding practices.
Frontend Developer Intern
Chennai, Tamilnadu, India
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Summary
Spearheaded the development of responsive and interactive web pages, collaborating with design teams to optimize UI/UX elements and cross-device performance.
Highlights
Developed and deployed responsive, interactive web pages using HTML, CSS, Bootstrap, and JavaScript, ensuring cross-browser compatibility and seamless user experience.
Collaborated effectively with the design team to refine UI/UX elements, resulting in optimized performance and enhanced visual appeal across various devices.
Green Skills and Artificial Intelligence
Chennai, Tamilnadu, India
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Summary
Gained proficiency in Python for advanced data analysis and visualization, applying robust data cleaning and manipulation techniques.
Highlights
Developed strong proficiency in Python for advanced data analysis and visualization, translating complex datasets into clear, actionable insights.
Applied in-depth knowledge of Pandas and NumPy to efficiently perform data cleaning and manipulation, significantly improving data quality and analytical accuracy.
Data Analyst Intern
Chennai, Tamilnadu, India
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Summary
Currently performing comprehensive data collection, extraction, cleaning, and analysis to derive actionable insights for decision-making processes.
Highlights
Executed end-to-end data pipeline operations, including collection, extraction, cleaning, and analysis, ensuring data integrity and readiness for strategic use.
Leveraged Excel and Python (including libraries like Pandas and NumPy) to perform in-depth data analysis, generating key insights that inform and support data-driven decision-making.
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B.Sc.
Computer Science (AI & ML)
Grade: 6.98 CGPA
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HSC
General Studies
Grade: 73%
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SSLC
General Studies
Grade: 70%
HTML, CSS, JavaScript, React.js, Node.js, SQL, Bootstrap.
Python, JavaScript.
NumPy, Pandas, TensorFlow, Scikit-learn, Flask, CNN.
Supervised Learning, Unsupervised Learning, Reinforcement Learning, Clustering, Image Processing, Natural Language Processing, Speech-to-Text, Text-to-Speech.
Excel, Jupyter Notebook, VS Code, Git, GitHub, Android Studio, Livekit Server.
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Summary
Developed two distinct, fully responsive web clones: a Netflix landing page and an e-commerce-style Amazon webpage, demonstrating expertise in frontend development.
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Summary
Developed a machine learning model utilizing Convolutional Neural Networks (CNN) and image processing techniques to enable early detection of plant diseases.
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Summary
Engineered an AI-powered Voice Agent leveraging Python and TensorFlow for real-time Speech-to-Speech (STS) and Text-to-Speech (TTS) processing capabilities.