I am a passionate Data Science and AI/ML Engineer with strong skills in data analysis, machine learning, and building intelligent solutions using Python.
My expertise includes EDA, model development, feature engineering, visualization, and deployment.
I am continuously improving my knowledge in Deep Learning and cloud technologies, and I aim to work on innovative ML projects.
More About MeI help turn complex datasets into actionable insights. From data cleaning and analysis to predictive modeling and visualization, I provide solutions that help businesses make informed, data-driven decisions.
More About MeI design and implement intelligent systems that learn from data. From building machine learning models to deploying AI solutions, I help transform raw data into predictive insights and automated decision-making tools.
More About MeI analyze complex datasets to uncover meaningful patterns and trends. From data cleaning and visualization to generating actionable insights, I help businesses make informed, data-driven decisions.
More About MeCreativity
Communication
Problem Solving
Teamwork
A collection of my projects showcasing responsive web design and modern front-end development using HTML, CSS, Tailwind CSS, and JavaScript, with a focus on clean UI and smooth user experience.
Developed a Todo Management Web Application using Python Flask, implementing CRUD functionality, server-side rendering with Jinja templates, and a responsive frontend using HTML, CSS, and Bootstrap.
Machine learning project for predicting customer churn using Python, Pandas, NumPy, Scikit-learn, feature engineering, and data visualization.
Built a Machine Learning model to predict house prices based on features like location, area, number of rooms, and amenities. Performed data cleaning, feature engineering, and model evaluation to improve prediction accuracy.
Modern AI-powered helpdesk platform developed with Claude Code, featuring intelligent ticket management, AI-assisted responses, email automation, Better Auth, PostgreSQL, and Railway deployment.
End-to-end Machine Learning pipeline project covering data ingestion, preprocessing, feature engineering, model training, and evaluation, built with Python for a reusable and modular ML workflow.
Power BI project analyzing Motorola mobile sales data, featuring interactive dashboards, sales trends, and performance insights to support data-driven business decisions.
Power BI dashboard analyzing vendor performance data, highlighting key metrics, purchasing trends, and profitability insights to support strategic vendor decisions.
I’m always excited to collaborate on AI/ML, Data Science, and Data Analysis projects. Whether you need predictive models, machine learning pipelines, data visualization, or insights from complex datasets—feel free to reach out. Let’s explore data and build intelligent solutions together!
Developed with love by Israr shekh © 2025