About Me
Computer Engineering graduate with experience as a Trainee Data Science & Analytics Engineer, building AI/ML applications with Python, NLP, machine learning, deep learning, SQL, and data-processing workflows. Experienced…
Computer Engineering graduate with experience as a Trainee Data Science & Analytics Engineer, building AI/ML applications with Python, NLP, machine learning, deep learning, SQL, and data-processing workflows. Experienced in developing Flask and Streamlit solutions, evaluating models, integrating APIs, using Docker, and translating analytical work into practical business outcomes.
Experience
Trainee – Data Science & Analytics Engineer
<p>Developed Python-based data-processing scripts and SQL queries for data cleaning, preprocessing, exploratory analysis, and analytical workflows. Implemented supervised and unsupervised machine-learning models, including ANN and CNN-based solutions, using Scikit-learn, TensorFlow, and Keras. Built interactive analytics applications and dashboards using Streamlit, Power BI, DAX, and Power Query to communicate insights clearly. Used Docker for reproducible application environments and maintained modular code, documentation, and version-controlled workflows with Git/GitHub. Contributed to 9+ data and AI projects involving model evaluation, data validation, API integration, and structured problem solving.</p>