Open to opportunities

Muskan Fatima

@muskanfatima

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AI-focused data scientist with full‑stack and ML deployment experience.

Pakistan

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What I'm looking for

I seek a role applying ML and full‑stack skills to build and deploy impactful AI products, within collaborative teams that value experimentation, responsible AI, and measurable business outcomes.

I am an AI-focused data scientist and full‑stack developer with hands‑on experience building production web applications and machine learning systems. I have delivered commercial projects, academic capstones, and internship contributions that improved model accuracy, automated reporting pipelines, and optimized operational workflows.

My background spans deep learning (TensorFlow, PyTorch), classical ML (scikit‑learn), data engineering with Python and SQL, and front‑end/back‑end development using React, Next.js, Node.js and MongoDB. I consistently translate data into actionable insights, deploy models and applications to cloud platforms, and collaborate cross‑functionally to drive measurable business impact.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Continental Biscuits Ltd

Jun 2024 - Jul 2024 (1 month)

Improved system accuracy by resolving data discrepancies and deploying ML models to predict and mitigate errors, and delivered Power BI reports that optimized scanning/sorting workflows.

Python Pandas NumPy SQL TensorFlow scikit learn Power BI Data Cleaning Data Visualization

Data Analytics Intern

Savaree Pakistan

Aug 2023 - Dec 2023 (4 months)

Analyzed rider data to optimize routing and service efficiency, built demand-forecasting models and A/B tests, and developed automated Power BI dashboards reducing manual reporting.

Python Pandas Matplotlib SQL TensorFlow scikit learn Scipy Power BI

Education

Degrees, certifications, and relevant coursework

Sukkur IBA University

Bachelor of Computer Science, Computer Science (Artificial Intelligence)

2021 -

Grade: 3.45

Pursuing a Bachelor of Computer Science with specialization in Artificial Intelligence, focusing on machine learning, deep learning, and practical projects including speech emotion recognition and signature fraud detection.