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Data Analyst with less than a year in Machine Learning & Explainable AI.
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Data Scientist with hands-on experience building and shipping machine learning, deep learning, and explainable-AI solutions across finance, computer vision, and healthcare datasets. Built a hybrid LSTM-GNN forecasting model that reached an R² of 0.89 and ~80-90% directional accuracy, with SHAP and LIME making every prediction auditable. Comfortable owning the full pipeline—from messy raw data to clean features, trained models, and dashboards non-technical stakeholders actually use—and strong in Python, SQL, and BI tooling.
Bahria University, Islamabad
Master of Data Science · Data Science
August 1, 2023 – June 30, 2026
COMSATS University, Islamabad
Bachelor of Bioinformatics · Bioinformatics
August 1, 2019 – June 30, 2023
Convergent Business Technologies
Data Science Trainee
November 1, 2025 – January 1, 2026
India
Bahria Innovation Center
Data Analyst Intern
September 1, 2023 – February 1, 2024
India
Facial Emotion Recognition (AI Computer Vision)
June 1, 2026 – Present
• Built a CNN-based real-time facial emotion recognition system that classified multiple emotions at 78% accuracy, owning the full workflow from image preprocessing to live inference.
Computational Investigation of Breast Cancer Patient Data
June 1, 2026 – Present
• Analyzed genomic datasets to identify candidate biomarkers linked to breast cancer, applying bioinformatics methods, protein-interaction analysis, and visualization to surface meaningful patterns in complex biological data.
Explainable AI for Stock Market Price Prediction
January 1, 2023 – June 1, 2026
• Designed a hybrid LSTM-GNN architecture for financial time-series forecasting that achieved an R² of 0.89 and roughly 80-90% prediction accuracy. • Integrated SHAP and LIME to make predictions transparent and interpretable, so every forecast could be traced back to the features driving it. • Ran comparative experiments and statistical validation against baseline models to confirm the architecture's performance gains.
Internship Certificates
Bahria Innovation Center, Developer Hub Corporation & CodeAlpha (Data Science)
June 1, 2026 – Present
1st Place - Final Year Project Competition, Career Expo 2023.
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects span diverse domains like finance, computer vision, and healthcare, indicating adaptability and a broad interest in applying data science. Their internship experiences, though short, show exposure to real-world business datasets and team environments. The pursuit of a Master's degree while gaining internship experience suggests a proactive and continuous learning mindset, which aligns well with a growth-oriented culture. However, the limited professional experience (internships only) might require additional mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work through the full data pipeline, from raw data to model deployment and reporting. Their experience in communicating insights to non-technical stakeholders suggests good operational fit for roles requiring cross-functional collaboration. The academic background in Bioinformatics combined with Data Science indicates a multidisciplinary approach to problem-solving.