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Musa Dildar Ahmed Cheema

FAST · 2023
Email
mcheema2010@gmail.com
Phone
+923108328248
LinkedIn
https://www.linkedin.com/in/musa-dildar-ahmed-cheema-
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
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