Murtaza Manzoor

Improved website content management with Drupal and Neon CRM, boosting SEO and user engagement through accurate, consistent digital assets. Designed visuals in Canva to strengthen brand presence. Led cross-functional coordination via Google Workspace, streamlining workflows, and enhanced data curation to increase publishing efficiency and elevate user experience.

As a Senior Associate, I enhance LLM performance for image- and text-based queries by optimizing prompts, refining outputs, collaborating with cross-functional teams on experiments, managing deliverables, and improving solution effectiveness. I also created QA-style image-based prompts for fine-tuning multimodal large language models (MLLMs) combining visual and textual inputs.

I conducted deep-dive statistical analyses and built predictive data models to personalize customer experiences, leading to a 32% increase in subscriber base. I also revitalized customer behavior & marketing impact by leveraging quantitative analysis, data mining, & visualization to drive a 13% surge in revenue, utilizing Python & SQL for in-depth insights.

Pursuing a Master of Science in Data Science with a thesis focused on Explainable AI for X-Ray Imaging-Based Coronavirus Monitoring and Analysis. Coursework included Explainable AI (XAI), Convolutional Neural Networks (CNN), Deep Learning, and Natural Language Processing.

Grade: 3.63/4

Completed a Post Graduate Diploma in Data Science, covering key areas such as Data Analytics, Machine Learning, and Cloud Computing (AWS). Specialized in AWS, SQL, and ETL Pipelines, alongside coursework in Big Data and Data Visualization.

Studied core concepts in Electronics and Communications Engineering, gaining foundational knowledge in relevant technical disciplines. Completed a comprehensive curriculum preparing for a career in technology.