Profile summary

Jazba Firdous is an emerging computer scientist and interdisciplinary technology educator dedicated to transforming data-driven learning into meaningful academic and industry impact. With a Bachelor’s degree in Computer Science from the University of Gujrat and a Master of Science from COMSATS University Islamabad, where she specialized in Data Science and Machine Learning, she has developed strong foundations in programming, data engineering, machine learning, and analytical modeling. Her research focuses on anomaly detection, with a commitment to advancing robust and generalizable solutions for identifying anomalous patterns in complex data.
Through her professional roles at COS Academy, Upskills Levantar, The Citizens Foundation, and in GIKI NAVTAC Professional training, she has gained hands-on experience across customer analytics, fraud detection, churn prediction, sentiment analysis, and demand forecasting systems, while also contributing to student-centered teaching and academic mentoring. Equipped with practical expertise in Python, Weka, Orange, Power BI, KNIME, and UI/UX design tools, she integrates technical skill, creativity, and problem-solving to build impactful solutions and engaging learning environments. Her work reflects a commitment to experiential education, applied research, and continuous growth bridging technical innovation with meaningful real-world application.