Kevindivyanshpeter
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 an AI/ML Engineer driving data-driven solutions.
Experience
Data Science Developer
Nullclass EdTech
Built real-time emotion detection system by integrating voice, age, and video analysis. Used preprocessing and feature engineering to improve accuracy. Collaborated on designing engaging educational modules, performed testing, and provided technical support to enhance user experience.
Data Science Developer
Clustor Computing
Implemented time series forecasting to predict booking trends with 84% precision using statistical software. Developed interactive Power BI dashboards to support data-driven decisions while achieving 76% model accuracy through data-oriented programming.
Data Science
Personifwy
Performed clustering and discriminant analysis, reducing error rate by 5%. Analyzed large datasets to identify marketing trends. Built predictive models for customer behavior using Python and R. Developed Dialogflow chatbot prototype achieving 82% accuracy through preprocessing and model evaluation.
Data Science
Corizo
Built deep learning models for retinopathy detection (72% accuracy) and road lane detection (86% accuracy, 74% precision) to support diagnosis and safety. Analyzed datasets to identify product trends, enhanced data collection methods, and created visualizations presenting complex insights effectively.
Data Science
SkillVertex
Built house price prediction model achieving 68% precision to inform investment decisions. Enhanced data accuracy by 86% through preprocessing. Created interactive stock market visualizations for improved data interpretation.
Education
GHRaisoni Institute of Engineering And Technology Nagpur
Bachelor of Technology
Skills
Projects
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, DeepFace, 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.
Certifications
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