Resume

Rotated across roles in software development and AI engineering. Contributed to requirements engineering, UI/UX design, DevOps workflows, and backend development with Java & Spring. Transitioned into AI engineering, where I implemented and integrated a chatbot into the project’s application, gaining full lifecycle experience from requirements to AI deployment.

Comprehensive training covering Python, statistics, machine learning, deep learning, NLP, and computer vision. Gained hands-on experience with Azure AI, MLOps tools (MLflow, Hugging Face), and completed a capstone project applying prompt engineering and end-to-end AI workflows.

Led a team in the Geospatial Hackathon organized by Here Technologies, focusing on applying AI to LiDAR data for feature extraction. Developed methods to process and analyze point cloud data, enabling the identification of road and infrastructure characteristics. Achieved 2nd place among 10 competing teams for innovative approach and practical application.

Coursework and projects in algorithms, data structures, software engineering, statistics, and AI specialization including advanced statistics, machine learning, NLP, and deep learning.

Earned the DataCamp Data Scientist Professional Certificate, demonstrating proficiency across the full data science workflow. Assessed through adaptive testing, technical reporting, and a practical exam requiring both technical and non-technical communication of results. Skills validated in data management, exploratory analysis, statistical experimentation, model development, and coding for production environments.

Tools: Python, SQL, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Jupyter.

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Completed 10-course professional track covering Python, SQL, data analysis, data visualization, and machine learning.

Tools: Python, SQL, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, SciPy.

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Completed a 13-month intensive data science program focused on Python, SQL, data visualization, machine learning, and cloud tools. Gained hands-on experience in data wrangling, exploratory analysis, predictive modeling, and storytelling with data through real-world projects.

Tools: Python, SQL, scikit-learn, Jupyter, Power BI, MySQL, AWS.

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Completed a 10-week program focused on critical workplace skills, problem-solving, business acumen, and digital collaboration. Developed capabilities in structured thinking, effective communication, and agile ways of working through interactive projects and case studies.

Skills: Problem-Solving, Structured Thinking, Business Acumen, Effective Communication, Digital Collaboration, Agile Mindset.

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