A

Ashifa Ikram

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Islamabad, Islamabad Capital Territory, Pakistan

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Résumé

Jobs verified_user 0% verified
  • Syntecxhub
    Machine Learning Intern
    Syntecxhub
    May 2026 - Jun 2026 (2 months)
    • Completed an intensive, industry-focused ML internship covering model training, evaluation, and deployment pipelines; certified under ISO 9001:2015.
    • Applied practical ML workflows to real datasets, building production-oriented habits around clean pipelines and reproducible experiments.
Education verified_user 0% verified
  • Syntecxhub
    Machine Learning Internship
    Syntecxhub
    Jun 2026
    ISO 9001:2015 Certified
  • W
    Workshop: Deep Reinforcement Learning for 5G NR Beam Selection
    WSN Research Lab
    Sep 2025
  • C
    Python for Data Science, AI & Development
    Coursera IBM
    Sep 2025
  • F
    M.S. Artificial Intelligence
    FAST-NUCES, Islamabad
    Aug 2025 - Current (1 year 2 months)
    CGPA: 3.95/4.00 | Focus: Federated Learning, Computer Vision, Deep Learning, NLP
  • MathWorks
    MATLAB Onramp
    MathWorks
    Sep 2024
  • MathWorks
    Image Processing Onramp
    MathWorks
    Sep 2024
  • University of Sargodha
    B.S. Computer Science
    University of Sargodha
    Sep 2021 - Jun 2025 (3 years 10 months)
    CGPA: 3.64/4.00 | FYP: Highest marks in batch (Face Recognition Attendance System)
Projects (professional or personal) verified_user 0% verified
  • Independent
    PrivFedHAR: Privacy-Preserving Federated Learning
    Independent
    Jun 2026 - Jul 2026 (2 months)
    • Designed a federated learning framework for Human Activity Recognition (GRU-LSTM + Attention) with Differential Privacy (DP-SGD), reaching 94.43% accuracy and 98.55% AUC-ROC under LOSO evaluation.
  • Syntecxhub
    Spam Detection System
    Syntecxhub
    May 2026
    • Developed a text classification pipeline for spam detection, covering text preprocessing, feature extraction, and model evaluation for real-world message filtering.
  • Syntecxhub
    Salary Prediction System
    Syntecxhub
    Apr 2026 - May 2026 (2 months)
    • Built a salary prediction model using regression techniques (feature engineering, model selection, and evaluation) to estimate compensation from job and experience attributes.
  • Independent
    Synthetic Survey Data Augmentation
    Independent
    Apr 2026 - May 2026 (2 months)
    • Applied CTGAN, TVAE, and CopulaGAN to augment small tabular survey datasets, improving downstream classifier performance
  • f
    AI-Based Attendance Management System (AuraAttend)
    final year project
    Jun 2025 - Dec 2025 (7 months)
    • Led a team to build an end-to-end, production-ready attendance management system (face recognition, ResNetV1, Flask, MySQL) with real-time recognition and Excel-based reporting automation — earned the highest marks in the batch as Final Year Project.