Data Scientist with experience in statistical analysis, machine learning, data analytics, and visualization. Has worked on ETL automation, customer analytics dashboards, reporting automation, and predictive modeling acro…
Data Scientist with experience in statistical analysis, machine learning, data analytics, and visualization. Has worked on ETL automation, customer analytics dashboards, reporting automation, and predictive modeling across data science roles and research projects.
Noman is a Software Engineering graduate and Professional Data Scientist,
qualified in Data Science and AI, He loves coding in Python.
He worked for international companies to develop their data usage.
He is used to creating robust pipelines, data transformation, and data modeling.
He's a self-learner and spends an extensive part of his time diving into the docs to have a good grasp of a subject matter, often before, sometimes while implementing it.
He would love to make machine learning predictions that boost your sales.
Finally, He like clean, modular, concise yet powerful code.
Collaborated with cross-functional teams on Global Interconnection Index (GXI) for Equinix using statistical analysis and machine learning.
Redefined leader benchmark covering 1,000 leaders’ companies and over 11,000 deployments.
Automated ETL pipeline and reduced reporting time by approximately 90%.
Developed customer analytics dashboard to communicate actionable insights to stakeholders.
Understood land and expand patterns between STAR and NON-STAR accounts.
Replaced quarterly reporting efforts.
Automated Win/loss quarterly report by replacing manual Excel data preparation with Python-based scripts.
Cut down data preparation time.
Enabled self-service for stakeholders.
Conducted research under supervision of Prof. Dr. M. Saeed on predictive maintenance techniques for manufacturing equipment.
Worked to optimize asset availability.
Worked to reduce maintenance costs.
Led insights team while collaborating with leaders and executives across business verticals.
Made more informed decisions.
Developed, actively managed, and mentored central data team at foodpanda Pakistan.
Mapped customer journey to create customer experience.
Identified and addressed issues with data-backed strategies.
Utilized data analytics and visualization techniques to assist in legal research and decision-making processes.
Created a binary regression model to predict whether an operation case would breach SLA.
Achieved an F1 score of 89%.
Created a web application using Streamlit.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
