I am an AI/ML Engineer with hands-on experience in Python, machine learning, deep learning, data analysis, and Generative AI. I enjoy building practical, scalable AI systems that turn data into actionable solutions.
I have worked on data cleaning, preprocessing, exploratory data analysis, visualization, and predictive modeling. My experience includes using Python, Pandas, and NumPy to prepare and analyze datasets and communicate insights to cross-functional teams.
I have developed and evaluated machine learning models for regression, classification, and clustering tasks. I am familiar with feature engineering, hyperparameter tuning, model evaluation, and technical documentation.
I also build LLM applications, AI automation workflows, and agentic AI solutions. My interests include prompt engineering, AI-assisted development, and applying Generative AI to solve real-world business and technical challenges.
In addition, I have completed projects in web scraping using BeautifulSoup and Selenium, as well as data science, deep learning, and AI application development. I am committed to continuous learning and delivering reliable, data-driven results.
Performed data cleaning, preprocessing, exploratory data analysis, and visualization using Python, Pandas, and NumPy.
Cleaned and preprocessed more than 10,000 records, improving data quality by 30%. Documented workflows and presented insights to cross-functional teams.
Built and evaluated machine learning models for regression, classification, and clustering on real-world datasets.
Performed feature engineering and hyperparameter tuning, achieving more than 85% accuracy. Documented project workflows and results in technical reports.
BS Computer Science, Computer Science
Full-Stack AI Program / Training, Artificial Intelligence
Hands-on training in Python, data analysis, machine learning, web scraping, Generative AI, and related AI technologies.
Intermediate
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