CEO at Coursemon, Pakistan
Muhammad Ammar Jamshed is a Research Data Scientist, educator, and entrepreneur from Karachi, Pakistan 🇵🇰. Known for his pioneering work in EdTech, AI bootcamps, and data governance, he is the Co-founder of Coursemon, a startup bridging AI with education. He is also a mentor ranked in the top 1% globally across Kaggle, Topmate, and LinkedIn platforms. Ammar brings a unique combination of academic insight and industry relevance, making him a thought leader in the field.
👨💼 Profile
ORCID
✅ Suitable for “Data Scientist of the Year Award”
Muhammad Ammar Jamshed exemplifies the ideal candidate for the Data Scientist of the Year Award 🏆. With a stellar blend of technical innovation, teaching acumen, and impactful contributions to data science ecosystems globally, he has distinguished himself through leadership roles, entrepreneurial ventures, and global recognitions. Ranked in the top 1% on platforms like Kaggle, GitHub, and LinkedIn, and recognized by institutions such as Pistoia Alliance UK and Times Square New York, Ammar has consistently demonstrated excellence in research, training, and practical applications of data science.
🎓 Education
Ammar pursued his MSc in Data Science from the University of London (2021–2023), after completing a Diploma in Big Data Analytics from IBA (2020–2021) and a BSc in Business & Management from the University of London (2016–2020). He briefly enrolled in a PhD in Artificial Intelligence at NUST (2024–2025) before choosing to focus on professional development in Karachi.
💼 Experience
With over 6 years of multifaceted experience—3 years as a professional, 2 years freelancing, and 1 year as an entrepreneur—Ammar has worked with notable entities like Unilever, The Citizens Foundation, and AI Datayard. He led multiple training sessions for professionals from global institutions like HBL UK, Simpliv USA, and Pakistan’s Federal Board of Revenue. As CEO of Coursemon, he created AI-driven educational recommendation systems, further cementing his reputation in applied data science.
🔬 Research Interest
Ammar’s research interests span artificial intelligence, deep learning, data governance, quantum computing applications, and business intelligence 🌐. He is particularly focused on democratizing analytics education and leveraging AI in underrepresented sectors such as Islamic finance, e-commerce, and soil fertility.
📚 Publications
Ammar has authored seven research publications and one book titled “Incoherence’s Between Data and Analysis” (May 2024). His journal articles include:
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Bayesian Network Design for Decision Support System in South Asian E-commerce Management, IJRACSE, 2023.
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Analyze Soil Fertility using Deep Learning CNN, Shanlax Journals India, January 2023.
Other research articles published on ResearchGate in 2022–2023 include works on Islamic banking, cognitive behavior analysis, quantum computing, online teaching during COVID-19, and analytics in Pakistan’s cottage industry.