Aspiring Machine Learning Engineer with hands-on experience through a 6-month AI/ML Internship at Labmentix Private Limited. Skilled in Python, SQL, Scikit-learn, XGBoost, Flask, and Streamlit. Built end-to-end AI applications, predictive models, analytics dashboards, and recommendation systems.
Labmentix Private Limited
Dec 2025 – Jun 2026 · Bengaluru
Developed end-to-end Machine Learning solutions using Python, Scikit-learn, and XGBoost. Performed data preprocessing, feature engineering, exploratory data analysis, and model evaluation. Built regression and classification models for predictive analytics and business intelligence. Developed Flask and Streamlit applications for model deployment and visualization.
Bachelor of Technology, Computer Science Engineering
2022 – 2026
Percentage: 73%
Designed an end-to-end analytics platform using the PhonePe Pulse dataset to analyze transaction, insurance, and user trends. Built interactive dashboards and automated SQL-based data processing to generate business insights.
Built a machine learning solution for travel analytics using regression models and predictive analysis. Applied feature engineering, exploratory data analysis, and dashboard visualization for decision-making.
Developed a tourism recommendation and analytics system using machine learning techniques. Created predictive models and dashboards to analyze visitor behavior and travel trends.
Built an NLP-based customer satisfaction prediction system using machine learning. Deployed the prediction model with Flask for real-time customer feedback analysis.