Musa Dildar Ahmed Cheema
FAST
· 2023
Email
mcheema2010@gmail.com
Phone
+923108328248
GitHub
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Academic
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Year
2023
Education
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ATIONAL UNIVERSITY llF I Musa Dildar Ahmed Cheema +923108328248, mcheema2010@gmail.com PWD, Islamabad LinkedIn: https://www.linkedin.com/in/musa-dildar-ahmed-cheema- 70108a1a1/ Education Bachelor of Science (Data Science) 2023 Major: Data Science, Deep Learning, Data Analytics, Data Visualization, Data mining, Punjab College of Science, Islamabad Blue Area 2019 F.Sc (Physics, Chemistry, Mathematics) Siddeqq Public School 6" Road Rawalpindi 2017 Matriculation (Physics, Chemistry, Computer Science) Projects Final Project: Docigize [Python, PyTorch, HuggingFace, Flask, Flutter, ReactJS, Docker, AWS, MongoDB, Github] Developed a state-of-the-art multilingual Optical Character Recognition (OCR) model to create an end-to-end Handwritten Medical Prescription Extraction System, leveraging advanced visual document understanding techniques and cutting-edge technologies such as Python, PyTorch, HuggingFace, Flask, ReactJS, Docker, AWS, MongoDB, and Github Actions. This innovative solution enables automated extraction of medical entities from handwritten prescriptions in multiple languages and has been deployed as scalable micro-services on Amazon EC2, significantly improving the processing and management. Semester Projects: MESHIJOIN: A Near Real Time Data Warehouse: Developed Data Warehouse using Java and MySQL. Implemented the state-of-the-art MESHJOIN algorithm for real-time data enrichment and designed a Star Schema for a synthetic sales data. Conducted data analysis using OLAP queries to understand patterns in retail transactions. Tech: Java, MySQL Meme Analyser [Python]: Developed multimodal deep learning approach to classify memes by incorporating both image and text. Retina Diabetic Retinopathy classification [Python, Kaggle]: Developed a deep learning model to classify diabetes using retina images. Urdu OCR [Deep learning, Python]: Developed an Urdu OCR for Urdu Handwriting using Transformer Deep learning model. Reddit Toxicity Tagger OPython, Miflow, AWS, Github Actions): A complete end to and ML project for real time toxieity tagging of Reddit subreddits. Work Experience Research Assistant, NUCES University, Islamabad. Mar 2021 - Current orking as a Research Scientist at KDD NUCES and Datalnsight my Impact Meter Islamabad Aug 2020 — Current orking as a part time Data Scientist and Developer previously. Skills & Tools Professional Skills | Leadership, Event Management, Writing, Public Speaking, Time Management Technical Skills Python, C++, JavaScript, SQL, JAVA, GO, R, Hive, MongoDB, Pandas, Numpy, Scikit, PyTorch, TensorFlow, Transformers, Hadoop, ReactJS, Flask, NodeJS, Flutter, Kubernetes, Jenkins, Terraform, DynamoDB, Kafka, Docker, GIT, PostgreSQL, MySQL, PowerBI, Tableau, Linux, Web, Windows, AWS, GCP, Azure Achievements Stanford University Summer School Bronze Medal and Dean’s List Publications ¢ Publication: An Efficient Algorithm for Ranking Candidates in E-Recruitment System: IMCOM 2022 ¢ Publication: Feature-Wise Ranking of Candidates through Maximum Degrees in Hidden Bipartite Graphs: MCOM 2022 ¢ Transformer based Urdu Handwritten Text Optical Character Reader: ARXIV 2022
AI enrichment
Musa Dildar Ahmed Cheema is a Data Science graduate with concurrent experience as a Research Assistant and part-time Data Scientist. He possesses strong expertise in deep learning, OCR, and full-stack development, demonstrated through deployed projects and academic publications.
Skills (AI)
["Python", "Deep Learning", "PyTorch", "TensorFlow", "Transformers", "OCR", "Flask", "ReactJS", "Docker", "AWS", "MongoDB", "SQL", "Java", "Kubernetes", "Data Science"]
Status: ai_done
Provenance
Source file: —Created: 1777726226