Data Engineer

Final-year B.Tech student passionate about Data Engineering, MLOps, and Generative AI. Skilled in developing and deploying end-to-end data pipelines and machine learning workflows. Strong data
engineering abilities with Hadoop, Hive, Spark, and Google Cloud, complemented by experience in ML deployment using PyTorch, VertexAI, and AWS SageMaker. Eager to contribute to technology consulting projects involving AI-driven business transformation, cross-functional collaboration and ethical AI practices.
Data Analyst Academic Internship | June 2023 - July 2023
National University of Singapore- Collaborated with a team of 6 to analyze complex datasets and identify key project requirements.
- Engineered and developed a Deep Learning solution to predict oral cancer, successfully achieving a 90% accuracy rate to meet the project's goal.
- Gained hands-on experience with AWS SageMaker for training and deploying ML models on the cloud.
- Focused on optimizing the solution for model accuracy and real-time inference capabilities to ensure practical application.
Education: B.Tech Computer Science and Business System (2022-2026)Skills: Python, SQL
PyTorch, TensorFlow, Scikit-learn, NLTK
Hadoop, HIVE
Databricks
Shell Scripting
Google Cloud, AWS Sagemaker
Flask, StreamlitCertifications: Data Analytics using Deep Learning
MLOps
Microsoft Certified: Azure Data Fundamentals