Looking for a job

rana mohsin

@ranamohsin

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I build end-to-end machine learning pipelines for practical data-driven products.

Pakistan

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What I'm looking for

I'm looking to build practical machine learning and data science products, contributing across EDA, feature engineering, model training, evaluation, and real-world deployment.

I'm completing a Machine Learning internship at FlyRank, where I built a content-decay detection pipeline on a 30K-row SEO dataset and analyzed a 79M+ row Hugging Face dataset with DuckDB.

I defined the task, target proxy, Precision@K metric, and business impact, then improved Precision@50 by tuning model depth and removing target-leaking features.

At 10Pearls and Arch Technologies, I built AQI prediction, spam classification, digit recognition, Titanic survival, and stock price prediction models using EDA, feature engineering, regression, ensembles, and classification.

For Skintelli, my final-year project, I'm helping build an offline skin lesion screening application using YOLOv8, Grad-CAM, and RAG to provide plain-language explanations for non-medical users.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Intern

Current

FlyRank

Jul 2026 - Present (2 months)

Built a content-decay detection pipeline on a 30K-row SEO dataset using heuristic, Decision Tree, and Random Forest models. Improved Precision@50 by tuning model depth and removing target-leaking features.

Machine Learning Decision Trees Random Forest DuckDB SEO Precision@K Feature Engineering

Data Science Intern

10Pearls

Apr 2026 - Jun 2026 (2 months)

Built an Air Quality Index (AQI) prediction model using real-world environmental sensor data. Performed exploratory data analysis, feature engineering, and model evaluation.

Python scikit learn Pandas NumPy Matplotlib SeaBorn regression Ensemble Models EDA

Data Science Intern

Arch Technologies

Feb 2026 - Mar 2026 (1 month)

Built an email spam classifier using TF-IDF text features and machine learning classifiers. Developed a handwritten digit recognition model on the MNIST dataset using CNNs.

Python scikit learn TF IDF CNN TensorFlow EDA Feature Engineering Time Series