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Data Science with 1+ years in Machine Learning & BI Analytics
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Bs Computer Engineering student with expertise in Python, C++, and Data Science. Skilled in developing end-to-end ML solutions, including data preprocessing, model training, evaluation, and deployment. Hands-on experience in Computer Vision, OCR-based systems, Power BI analytics, and real-world business problem solving. Passionate about building scalable AI-driven applications.
COMSATS University Islamabad
Bachelor of Computer Engineering · Computer Engineering
August 1, 2020 – June 30, 2024
Govt Degree College Hafizabad
FSc · Pre-Engineering
June 1, 2018 – May 31, 2020
LogWorld Express
Business & Data Operations Executive
November 1, 2024 – Present
India
Convergent Business Technologies
Data Analyst
September 1, 2024 – October 1, 2024
India
Human Face Emotion Detection (FYP)
June 1, 2026 – Present
Built a deep learning model using Neural Networks to detect human facial emotions. Implemented image pre-processing, feature extraction, and model training using Python (Pytorch/TensorFlow/Keras). Achieved high accuracy on custom datasets and integrated real-time detection using OpenCV.
Car Rental Management System
June 1, 2026 – Present
Developed an OOP-based system for bookings, rentals, and customer management. Implemented file handling and efficient data structures.
Robotics & Embedded Systems
June 1, 2026 – Present
Designed line-following and mobile-controlled robots using C/C++ with OOP principles. Integrated decision-making models for automated navigation.
Web Development Projects (WordPress)
June 1, 2026 – Present
Designed and developed multiple professional business websites using WordPress. Implemented responsive UI, structured content, service pages, and contact forms. Ensured brand consistency, mobile compatibility, and basic performance/SEO optimization.
Power BI Sales & E-Commerce Dashboard
June 1, 2026 – Present
Designed interactive dashboards for sales, profit, and customer behavior. Created KPIs, slicers, and DAX measures. Enabled data-driven business decisions.
Customer Churn Prediction System (Machine Learning)
June 1, 2026 – Present
Built predictive models using Logistic Regression, Random Forest, and XGBoost to identify customers likely to leave. Performed EDA, feature engineering, and model tuning to improve accuracy and recall. Enabled proactive retention strategies, reducing potential revenue loss.
Invoice & Receipt Data Extraction using OCR
June 1, 2026 – Present
Developed an OCR pipeline using Tesseract, OpenCV, and Python to extract structured data from invoices and receipts. Automated parsing, validation, and storage into MySQL/CSV databases. Reduced manual data entry by 80% and improved processing speed.
Sales Forecasting & Demand Prediction Model
June 1, 2026 – Present
Implemented time series forecasting models (ARIMA, Prophet, Linear Regression) to predict monthly sales trends. Engineered seasonal and trend-based features for improved predictions. Helped optimize inventory planning and business strategy.
End-to-End Data Analytics Pipeline (Python + Pandas)
June 1, 2026 – Present
Designed a complete data cleaning, transformation, and analysis pipeline using Pandas and NumPy. Generated visual insights using Matplotlib/Seaborn/Power BI dashboards. Automated reporting to support management decision-making.
Real-Time Object Detection System (YOLOv8 + OpenCV)
June 1, 2026 – Present
Built a real-time object detection model using YOLOv8 for live camera/video stream analysis. Performed dataset annotation, model training, and performance optimization. Achieved fast inference speed suitable for edge/real-time applications.
CS50
Unknown
June 1, 2026 – Present
Microsoft Excel - Excel from Beginner to Advanced 2025
Udemy
June 1, 2026 – Present
Microsoft Power BI Desktop for Business Intelligence
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, spanning web development (WordPress), robotics, and various data science applications (forecasting, churn prediction, object detection, OCR). This breadth indicates a willingness to explore different domains and technologies. The academic projects, combined with personal initiatives, show a strong drive for continuous learning and application. The target role of 'Data Science' aligns well with the majority of their technical skills and project experience, particularly in machine learning, data analysis, and AI applications. The candidate's certifications in Excel and Power BI further support a practical, business-oriented approach to data.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving through diverse personal and academic projects. Their experience in optimizing business processes using data-driven insights suggests an operational fit for roles requiring analytical decision support. Collaboration with cross-functional teams is mentioned, indicating an ability to work in a team environment. However, the resume does not provide explicit details on communication style, leadership, or conflict resolution, making a deeper assessment of soft skills challenging.