Available to hire
Hi, I’m Prerna Rohra, a data scientist and AI enthusiast who loves turning research into practical applications. I enjoy building end-to-end ML pipelines, exploring fraud detection, feature engineering, and real-time data processing, and collaborating with teams to deliver impactful solutions.
I’m committed to staying at the forefront of data science and AI, continually learning new tools and techniques, and sharing knowledge with peers. I thrive on solving challenging problems and applying innovative approaches to real-world problems, including generative AI and advanced analytics for business value.
Skills
Experience Level
Expert
Expert
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Language
English
Advanced
Urdu
Advanced
Sindhi
Advanced
Work Experience
Data Scientist at The SentientAI
June 1, 2024 - February 1, 2026Building end-to-end fraud detection models, including feature engineering, synthetic data creation, and ML pipeline design. Designing and deploying models from scratch using Python, handling both batch and streaming data on a high-throughput architecture. Setting up automated ML retraining workflows using MLflow and Evidently AI, while integrating with Kafka, Spark, and Flink for real-time processing. Working on HBL Bank project, creating ETL pipelines in Informatica and managing complex data flows.
Associate AI Engineer at Meta Frolic Labs Pvt. Ltd.
October 1, 2024 - June 1, 2024Face Attributes Manipulation: A backend solution for facial attribute manipulation providing realistic post-surgery visualizations, using OpenCV for image processing (AffineTransform, remap, pixel manipulation) and Dlib for precise landmark detection. Built endpoints with FastAPI to enable adjustments in the size and shape of lips, nose, eyes, eyebrows, forehead, chin, jaw, and overall face. VS Code Extension: A VS Code extension like GitHub Copilot, using AWS Bedrock for AI models like Llama and GPT. Built the frontend with TypeScript and CSS and backend with FastAPI integrating Axios for API communication. AWS Chatbots: Deployed two chatbots on an EC2 Windows machine with a FastAPI backend. One was a PDF-based chatbot using Amazon Textract, Bedrock, and OpenSearch for semantic search, and the other was a database connected chatbot integrated with Amazon RDS via AWS Lambda for real-time SQL queries.
Education
Bachelor of Science in Computer Science at SZABIST
September 1, 2020 - June 1, 2024Master of Information Technology at Murdoch University
February 1, 2006 - February 1, 2006Qualifications
Kaggle – Intro to Machine Learning
January 11, 2030 - February 26, 2026OpenCV University – OpenCV Bootcamp
January 11, 2030 - February 26, 2026Kaggle – Python Programming
January 11, 2030 - February 26, 2026DeepLearning.AI – Building AI Voice Agents for Production
January 11, 2030 - February 26, 2026Industry Experience
Software & Internet, Media & Entertainment, Professional Services, Other
Skills
Experience Level
Expert
Expert
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