I work across data analytics, machine learning, Python, and modern web development to uncover insights, optimize decisions, and build scalable, user focused solutions. I combine strong software engineering skills with practical data science experience, delivering clear, reliable, and measurable results.
Designing predictive models using supervised and unsupervised learning to solve real-world problems efficiently.
Building intelligent models using algorithms for classification, regression, and prediction. Turning data into actionable insights with tools like Scikit-learn, TensorFlow, and Pandas.
Creating efficient Python scripts to automate repetitive tasks, process data, and integrate APIs for smarter workflows and time saving solutions.
Developing custom, responsive WordPress websites, CMS, Shopify with clean design and optimized performance from landing pages to full business sites.
Connecting machine learning models or external services seamlessly into websites or apps through well-documented RESTful APIs.
Building deep learning models for image processing, NLP, classification, and prediction tasks using TensorFlow and advanced neural network architectures.
Pandas, NumPy, Matplotlib, Seaborn, Python, JavaScript, PHP, SQL, TypeScript, C#, HTML, CSS, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Excel, Jupyter, Google Colab...
My work brings together data analysis, machine learning, Python automation, and modern web development to create intelligent, efficient digital solutions. The focus is always on clarity, reliability, and solving real world problems with accuracy and speed.
I’ve worked on diverse projects involving data cleaning, predictive modeling, end to end automation, and custom WordPress development. Complex challenges are turned into simple, effective solutions that provide measurable value.
From analyzing datasets and building ML models to writing clean Python scripts and developing responsive WordPress sites, each project is an opportunity to innovate, refine, and deliver meaningful impact.
I’ve worked across data analytics, machine learning, Python development, and full stack web development. My experience spans multiple companies where I contributed to data driven insights, backend logic, and responsive web solutions.
Data Analyst (Support Operations)
July 2023 – Present
Web Developer
June 2025 – October 2025
Web Developer
Sep 2022 – Dec 2022
Web/Software Developer
Jan 2021 – Dec 2021
Junior Web Developer
Jun 2020 – Dec 2020
Python, SQL, PHP, JavaScript, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Excel, Jupyter, Google Colab, REST APIs, WordPress, ACF, Elementor, WooCommerce, HTML, CSS, MySQL, PostgreSQL, MongoDB, Git, GitHub, Google Cloud, Postman, Cloudflare, cPanel, Jira, Trello, Notion, Google Analytics, Google Search Console, SEO (On-Page/Technical), CMS, Shopify...
Heart disease prediction is one of the most impactful applications of machine learning in healthcare analytics. This project analyzes patient health indicators such as age cholesterol blood pressure chest pain type and blood sugar levels to estimate the risk of heart disease. The goal is to support early diagnosis preventive care and better clinical decision making.
Credit card fraud detection is a critical use case of machine learning in financial security and risk prevention. This project identifies suspicious transactions by analyzing spending patterns transaction behavior and anomalies. The model helps reduce financial loss improve transaction safety and strengthen fraud prevention systems.
Diabetes prediction using machine learning supports early detection and long term healthcare planning. This project examines medical features such as glucose levels blood pressure BMI and age to assess diabetes risk. The model aims to help patients and healthcare providers take timely preventive action.
Breast cancer prediction using machine learning plays an important role in early diagnosis and medical decision support. This project evaluates tumor characteristics such as radius texture smoothness and compactness to classify tumors as benign or malignant. The system assists clinicians in early screening and data driven diagnosis.
Whether you’d like to discuss opportunities, collaborations, or have questions about my work, feel free to reach out. Fill out the form and I’ll get back to you shortly.
