

Motivated M.Sc. Computer Science graduate with a strong foundation in programming, software engineering, machine learning, and data-driven applications. Skilled in Python, SQL, and AI technologies, with hands-on experience in developing data processing pipelines, statistical models, and deep learning solutions. Demonstrated ability to manage multiple tasks, adapt to evolving project requirements, and apply technical problem-solving skills to develop reliable solutions and support data-driven decision-making.
• Developed and maintained scalable data processing pipelines for large-scale datasets.
• Improved data processing workflows and contributed to the reliability and performance of
production systems.
• Collaborated with cross-functional engineering teams to troubleshoot issues and deliver software
solutions.
• Contributed to the development and enhancement of machine learning and data-driven applications.
• Performed statistical modeling of electric grid infrastructure and power transmission systems to help
predict and minimize grid downtime.
• Assisted in developing data processing pipelines for large-scale datasets.
• Prepared datasets and supported machine learning model training and evaluation.
• Worked with engineering teams to analyze data, validate results, and support software development
activities.
• Assisted in the installation, configuration, and maintenance of computer networks.
• Provided technical support for hardware, software, and internet connectivity issues.
• Assisted with IT infrastructure upgrades and network deployment projects.
• Completed a 6-week remote Summer Scholar program (~80 hours of instructor-led training) focused
on business and financial acumen, marketing & sales, networking, organizational design, and product
development, while gaining an understanding of global business operations and organizational
decision-making.
Programming Languages: Python, Java, C ; Web: HTML, CSS, JavaScript
Data: SQL, Database Management, Pandas, NumPy, Data Analysis, Data Processing
Machine Learning / AI: TensorFlow, PyTorch, ML Algorithms, Deep Learning, Statistical Modeling, LLMs
Software Development: Software Engineering, Object-Oriented Programming (OOP), Data Structures & Algorithms, Debugging, Testing, Embedded Systems
Version Control & Tools: Git, GitHub, GitLab, Linux (Ubuntu)
Soft Skills: Problem-Solving, Analytical Skills, Communication, Teamwork, Adaptability, Continuous Learning, Project & Product Management (Lifecycle Management)
• HP Summer Scholar Internship
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