About Me
I’m Sivasakthi K, a recent B.Tech graduate in Artificial Intelligence and Data Science from Karpagam College of Engineering, Coimbatore.
I have hands-on experience in Python through projects and a Machine Learning inte…
I’m Sivasakthi K, a recent B.Tech graduate in Artificial Intelligence and Data Science from Karpagam College of Engineering, Coimbatore.
I have hands-on experience in Python through projects and a Machine Learning internship at Suven Consultants, where I worked on data processing and model development using Pandas, NumPy, and Scikit-learn. I’ve also built Python applications using Flask, including a Sentiment Analysis web app and an automated Tech News SMS Bot.
My skills include Python, SQL, Flask,web technologies, and version control tools like Git. I’m eager to learn, contribute, and grow as a Python Developer..
Please find my resume attached. I’d be glad to discuss my profile further.
Best regards,
Sivasakthi K
9342735326
Experience
Machine Learning Intern
Built and trained ML models using Scikit-learn. Performed data preprocessing, feature engineering, and model evaluation. Applied cross-validation and hyperparameter tuning. Visualized insights using Matplotlib and Seaborn.
Machine Learning Intern
<p>Built and trained ML models using Scikit-learn.<br>
Performed data preprocessing.<br>
Performed feature engineering.<br>
Performed model evaluation.<br>
Applied cross-validation.<br>
Applied hyperparameter tuning.<br>
Visualized insights using Matplotlib.<br>
Visualized insights using Seaborn.</p>
PROJECTS
AI-Powered Interactive Flowchart Summarization Using Vision Transforme
<p>Implemented Vision Transformers for accurate detection and classification of flowchart components. Built Graph Neural</p><p>Networks to model relationships between components, reconstructing logical flow and dependencies. Developed NLP</p><p>summarization modules to generate concise, human-readable descriptions of flowchart logic and decision pathways.</p>
Sentiment Analysis of Amazon Product Reviews
<p>Developed a Flask-based web application for real-time sentiment analysis of Amazon product reviews.Implemented deep</p><p>learning models for text classification, opinion mining, and customer feedback analysis.Built Flask-based web</p><p>application,CNN and LSTM models for sentiment classification End-to-end NLP pipeline</p>