Kevin Divyansh Peter

Motivated Data Science Graduate with hands-on experience building ML models, analyzing complex datasets. Proficient in Python, SQL, AI/ML tools, with proven success improving model precision, developing interactive dashboards. Eager to apply these skills as AI/ML Engineer driving data-driven solutions.

• Core Technologies: Python, SQL, R Programming, Pandas, NumPy, Scikit-learn, TensorFlow
• Machine Learning & AI: Supervised/Unsupervised Learning, Deep Learning, NLP, GenAI, LLMs, LangChain, Prompt Engineering, Predictive Modeling, Feature Engineering, Model Evaluation, Predictive Analytics, Time Series Analysis
• Computer Vision: OpenCV, YOLO, Object Detection, Image Processing
• Data Analysis & Visualization: Data Analysis, Preprocessing, Validation, Quality Assurance, Interpretation, Statistical Analysis, Technical Analysis, Business Intelligence, Power BI, Tableau, Excel, Streamlit
• Databases & Management: Database Management, MongoDB, MySQL
• Tools & Platforms: Git, GitHub, Tkinter, DeepSeek, OpenAI
• Soft Skills: Analytical Thinking, Problem Solving, Attention to Detail, Team Collaboration

• Helmet & Number Plate Detection: Used YOLOv5 to detect helmetless riders and capture number plates and faces. Future plan includes live detection enhancement.
• Voice Gender Prediction: Built RNN model using Librosa and pyAudioAnalysis, achieving 88% precision by capturing temporal audio patterns.
• Real-Time Sentiment Analysis: Implemented multiple models (CNN, Deep Face, Keras, TensorFlow) for image-based sentiment detection.
• Chatbot Development: Developing intelligent chatbot using JarvisAI with NLP for handling user inquiries.
• Recommendation System: Created collaborative filtering model on MovieLens dataset, achieving 85% accuracy in predicting preferences.
• Road Sign Detection: Trained model to recognize 43 signs using Keras and PyQt5, achieving 87% training accuracy and 93% validation accuracy.
• Facial Attendance Recognition: Automated attendance using OpenCV DNN to detect faces, extract embeddings, and map to student identities.
• Climate Prediction: Combined Bi-LSTM and GAN with Keras and Scikit-learn to enhance climate data prediction and synthesis.

Learn Artificial Intelligence and Machine Learning with Hands-On Projects — Udemy

Mastering AI Innovation: Building and Fine-tuning Generative AI Applications with Google Gemini Models and LangChain — Udemy

The Data Engineer's Guide to Apache Spark — Udemy

No-Code Machine Learning Using Amazon AWS SageMaker Canvas — Udemy

Get Started with SQL Analytics and BI on Databricks — Simplilearn

Introduction to Diffusion Models — Simplilearn

Introduction to GAN — Simplilearn Introduction to Tableau — Simplilearn

Master AI for Web App Development — Simplilearn

Get Started with Databricks for Machine Learning — Simplilearn