Final-year B.E. ECE student (CGPA: 8.78) from Velammal Institute of Technology, Chennai, with internship experience in Data
Science. Skilled in Machine Learning, Deep Learning, NLP, and Generative AI with hands-on exposu…
Final-year B.E. ECE student (CGPA: 8.78) from Velammal Institute of Technology, Chennai, with internship experience in Data
Science. Skilled in Machine Learning, Deep Learning, NLP, and Generative AI with hands-on exposure to LangChain-based
systems. Certified in AWS ML Foundations and IBM Data Fundamentals. Actively seeking a Data Scientist or AI/ML Engineer
role where I can contribute to building intelligent, data-driven solutions from day one.
Performed data preprocessing and EDA on a 7,000+ row real-world dataset using NumPy and Pandas to deliver data-driven insights. • Built end-to-end visualizations (confusion matrices, heatmaps, feature importance) using Matplotlib and Seaborn across 2 production-level projects. • Developed and evaluated machine learning recommendation system prototypes using Scikit-learn in a real-world R&D environment. • Leveraged Generative AI and automation to optimize data pipelines and workflows beyond core project scope.
Applied Python (NumPy, Pandas, scikit-learn) for data preprocessing, cleaning, and exploratory analysis
Conducted data visualization using Matplotlib/Seaborn to derive actionable insights
Collaborated on recommendation system prototypes and explored generative AI concepts
Demonstrated strong problem-solving, analytical reasoning, and commitment to learning emerging AI tools
Applied Python (NumPy, Pandas, scikit-learn) for data preprocessing, cleaning, and exploratory analysis
Conducted data visualization using Matplotlib/Seaborn to derive actionable insights
Collaborated on recommendation system prototypes and explored generative AI concepts
Demonstrated strong problem-solving, analytical reasoning, and commitment to learning emerging AI tools
Completed a one-month intensive internship focused on Full Stack Development under industry guidance
Worked with technologies like HTML, CSS, JavaScript, React.js, Node.js, and MongoDB to build scalable web applications
Built an end-to-end ML pipeline on real telecom data to predict customer churn using Random Forest classifier. • Performed EDA, data cleaning, label encoding, and feature engineering on 7,000+ customer records. • Achieved 79% accuracy and 69% ROC-AUC; saved 5 insight charts including confusion matrix and feature importance plots.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
