Khush Godani

AIML/DS Enginner

Labmentix • Freelance

Dec 2025 - Present • 5 mos

Worked as a Data Science & Machine Learning Intern at Lamentix, where I developed real-world data-driven solutions across multiple domains including streaming analytics, e-commerce personalization, and tourism intelligence. Built end-to-end projects involving data analysis, machine learning modeling, and recommendation systems, focusing on delivering actionable insights and scalable solutions. Key contributions include: • Analyzed 8,000+ Amazon Prime Video titles to uncover trends in content quality, ratings, and global distribution, and built an interactive Power BI dashboard for business insights • Developed a customer segmentation and product recommendation system using collaborative filtering to enable personalized shopping experiences • Built machine learning models for tourism analytics including visit-mode classification, attraction rating prediction, and a hybrid recommendation system • Developed and deployed a Streamlit web application for real-time predictions and recommendations Demonstrated strong ability to work with real-world datasets, build scalable ML pipelines, and deliver business-focused solutions. Amazon Prime Video Content Analytics GitHub: https://github.com/Khushgodani05/Amzon_Prime_Videos_EDA Demo: https://drive.google.com/file/d/1_XlFXsthiYJJ83vapVtoAk_K8GbuZfme Shopper Spectrum E-commerce GitHub: https://github.com/Khushgodani05/Shopper_spectrum_cutomer_analysis_reccomend Demo: https://drive.google.com/file/d/16-TLDdZKnHwIcYfndqwpjDwMHschcwOt Tourism Experience Analytics GitHub: https://github.com/Khushgodani05/Tourisum_experience_analytics Demo: https://drive.google.com/file/d/174DOmmqm6nPbpG7yLOkETehfBNm19Ull

Machine Learning

Internz learn • Freelance

Oct 2025 - Nov 2025 • 1 mo

Hi! I’m a Data Scientist specializing in Machine Learning and Natural Language Processing (NLP). Are you looking to automatically detect spam messages or filter unwanted text data? I will build a high-accuracy spam detection system tailored to your needs using advanced machine learning techniques. I can also deploy this model as a web app or API for real-time use. 🔧 What I Will Do: Develop a complete end-to-end NLP pipeline Clean and preprocess raw text data Convert text into numerical features using CountVectorizer / TF-IDF Train and compare multiple ML models: Logistic Regression Support Vector Machine (SVM) Random Forest XGBoost (best-performing model) Select the best model based on performance 📊 Model Performance: Achieved 97% Precision, Recall, and F1-score Optimized to reduce false positives and false negatives Detailed evaluation using: Confusion Matrix Classification Report 📦 What You Will Get: Fully trained spam detection model Clean, production-ready Python code Model evaluation report Instructions to run the project Optional: Streamlit web app for live predictions 💡 Why Choose Me? Strong background in Data Science and Machine Learning Focus on real-world performance and accuracy Clean and well-structured code Fast delivery and clear communication ⚡ Use Cases: SMS spam filtering Email classification Customer support automation Fraud or scam detection