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 with a research focus on anomaly detection in surveillance video—she has developed strong foundations in programming, data engineering, machine learning, and analytical modeling. Through her professional roles at Blue Bracket Technologies, COS Academy, Upskills Levantar, and The Citizens Foundation, she has gained hands-on experience across customer analytics, fraud detection, churn prediction, sentiment analysis, demand forecasting, and blockchain-enabled automation 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.

Qualification & certification

Degree/Certification	Field	Institution	Year
MS	Computer Sciences	COMSATS Islamabad	2025
BS	Computer Sciences	University of Gujrat	2022
Professional Training	Data Science, Data Analytics, Machine Learning	GIKI High Impact IT Training Program, Islamabad	2024

Teaching experience

Position	Institution	Duration
Lab Instructor	Shifa Tameer-e-Millat University, Islamabad	Since 2017

Other experiences

Role	Description
Teaching Experience	The Citizens Foundation – Instructor in the Alumni Development Program, mentoring and guiding students in personal and professional development.
Teaching Experience	COS Academy – Computer Science Instructor delivering foundational and advanced CS concepts.
Teaching Experience	Upskills Levantar – Programming Instructor teaching programming fundamentals and assisting students in building essential coding skills.
Student Support Role	Rawalpindi Women University – Contributed to the Student Service Cell to enhance student experience through support and assistance.

Projects

No.	Project	Description
1.	Customer Segmentation	Utilized Weka and Python to analyze purchasing behavior and build segmentation models, enabling targeted marketing and identifying high-value customer groups.
2.	Market Basket Analysis	Applied association rule mining in Orange to identify frequently purchased product combinations, informing product bundling and promotional strategies.
3.	Fraud Detection	Built machine learning models on historical data to detect fraudulent patterns, enhancing security and minimizing financial losses.
4.	Churn Prediction	Used Python-based predictive modeling to identify high-risk customers, helping improve retention strategies and reduce churn.
5.	Sentiment Analysis	Leveraged Python NLP libraries to analyze customer opinions, providing insights for product improvement and customer service enhancement.
6.	Demand Forecasting	Created forecasting models in Excel and Python to optimize inventory and supply chain operations by accounting for seasonal trends and fluctuations.
7.	Automated Document Generation	Developed a blockchain-integrated system with ML components to automate document creation, ensuring accuracy, security, scalability, and compliance.
8.	Altaf Trading Co. Dashboards	Designed interactive Power BI dashboards delivering actionable business insights; contributed to operational efficiency through data-driven decision-making.
9.	CV Analyzer	Built an NLP- and ML-based tool to extract key resume details and match them to job descriptions, automating the candidate screening process.

Skills

No.	Category	Skills
1.	Primary Skills	Programming & Tools: Python, Weka, Orange, KNIME
2.	Primary Skills	Data Analysis & Visualization: Power BI, Excel, Matplotlib, Seaborn
3.	Primary Skills	Data Engineering: Data Preprocessing, Feature Engineering, Dimensionality Reduction
4.	Secondary Skills	Programming Languages: C++, HTML, CSS
5.	Secondary Skills	Database Management: MySQL
6.	Secondary Skills	Software Development: Object-Oriented Programming (OOP), Agile Methodology, Waterfall Methodology
7.	Secondary Skills	UI/UX Designing: Adobe XD, Figma, Balsamiq, Canva

Research areas / interests

No.	Research Area / Interest
1.	Anomaly Detection (Financial Sector, Surveillance Video)
2.	Agricultural (Citrus Fruits)
3.	Flood Predictions (Climate Aspects, Hydrological Features, Topographical etc)