About
Aspiring Data Scientist with a strong foundation in analytics, machine learning, and data-driven decision making. Experienced in developing intelligent systems, including deepfake detection and smart attendance solutions, and extracting actionable insights from complex datasets using Python, SQL, and modern tools. Skilled in transforming raw data into meaningful insights through analysis, visualization, and model development. Passionate about solving real-world problems, continuously learning emerging technologies, and building scalable, impactful solutions that bridge the gap between data and innovation.
Skills & Expertise (37)
Work Experience
Developer
SpendSync
Present - Present
Developed a full-stack expense tracking system using Go, React.js, and MongoDB, reducing manual expense management effort by 60%. Implemented 5+ core features including expense categorization, transaction history, and real-time budget monitoring. Optimized database operations and API handling, improving transaction retrieval speed by 40%. Designed a responsive and user-friendly interface, enhancing financial tracking efficiency for daily expense management.
Developer
DreamScape AI
Present - Present
Developed a generative AI application to create high-quality visuals from user prompts using deep learning models. Integrated transformer-based models and computer vision techniques for feature extraction and style generation. Built an interactive interface using Streamlit for real-time user input and output visualization. Optimized model inference and data processing to improve performance and reduce latency.
Developer
Deepfake Video Detection
Present - Present
Designed a deepfake detection pipeline leveraging computer vision and deep learning to distinguish authentic and manipulated videos. Converted video streams into structured frame data and analyzed facial patterns to detect anomalies. Implemented and fine-tuned neural network models to improve detection reliability. Streamlined data preprocessing and feature extraction to enhance system performance and scalability.
Developer
Smart Attendance System
Present - Present
Developed a smart attendance system using face recognition to automate real-time attendance marking. Processed live video streams to detect and recognize individuals with high accuracy. Implemented a structured system to store and manage attendance records efficiently. Enhanced system performance using image preprocessing and feature extraction techniques.
Education
Bachelor of Technology in Artificial Intelligence And Data Science - Modern Institute of Technology and Research Centre
2023 - 2027 · Afghanistan
Science – PCM - Achievers Academy
2021 - 2023 · Afghanistan
Certifications
NLP, Deep Learning & GPT Technologies – Summer Internship
· 2025
Machine Learning, Power BI & Tableau – Industrial Training
· 2025
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Skills (37)
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