About Me
AI/ML Engineer and Data Scientist with 1 year of hands-on experience in machine learning, data engineering and Python. Experienced in designing and building end-to-end ML pipelines, from data preparation and feature engi…
AI/ML Engineer and Data Scientist with 1 year of hands-on experience in machine learning, data engineering and Python. Experienced in designing and building end-to-end ML pipelines, from data preparation and feature engineering to model training, evaluation and deployment. Strong understanding of classical machine learning and deep learning algorithms using Scikit-learn, TensorFlow, PyTorch and Keras. Skilled at understanding business challenges and designing technical solutions that deliver measurable ROI. Open to immediate relocation.
Experience
Data Science Trainee
<p>Designed and implemented end-to-end ML and data pipelines for automated data ingestion, transformation, model training and analysis, including messaging/queue systems for model data movement.<br>
Built, trained and evaluated machine learning models (classification and regression) using Python and Scikit-learn, improving prediction accuracy through feature engineering.<br>
Performed data preparation, data cleaning and exploratory data analysis on real-world datasets using Python, Pandas and NumPy.<br>
Applied statistical methods to validate data quality and ensure the integrity of analytical outputs.<br>
Worked with SQL and NoSQL databases (MySQL, MongoDB) for data storage and retrieval.<br>
Collaborated with team members to understand project requirements and deliver data-driven solutions, covering model evaluation, result interpretation and reporting.</p>
PROJECTS
AI Powered Personalized Travel Planner
<p>• Designed and developed a Generative AI web application that creates customized, end-to-end travel</p><p>itineraries based on user preferences: destination, number of days, budget, number of travelers, and</p><p>interests.</p><p>• Generated personalized day-by-day plans covering attractions, activities, local cuisines, accommodation</p><p>options, transportation suggestions, and estimated expenses.</p><p>• Built an interactive interface with Python and Streamlit, used Pandas to handle and analyze travel datasets,</p><p>and used an AI model (Gemini) to produce recommendations.</p><p>• Designed for integration with external APIs to provide real-time information such as places, maps, and</p><p>flights.</p><p>• Technologies: Python, Streamlit, Pandas, Generative AI, Gemini, API Integration</p>