NUMAAN FAROOQ - Data Scientist

Summary

I am a highly skilled Data Scientist with a strong background in bioinformatics, machine learning, and predictive modeling. I excel in deep learning, computer vision, and natural language processing (NLP) to solve complex real-world problems. Passionate about innovation and dedicated to delivering high-accuracy models with robust performance.

Experience

Machine Learning Intern

Unified Mentor | January 2025 – February 2025

Designed and implemented scalable machine learning pipelines for predictive analytics tasks.
Optimized models to enhance prediction accuracy by 15%.
Conducted data cleaning and preprocessing for large datasets.
Leveraged TensorFlow, Scikit-learn, SQL, and Python for model development and deployment.

Bioinformatics Intern

Dept. of Fisheries, SKAUST | February 2025 – March 2025

Conducted karyotyping and DNA extraction for aquatic species (95% sample purity).
Developed Python scripts for sequence alignment and phylogenetic tree visualization.
Created interactive dashboards for genomic data analysis using Plotly and Matplotlib.
Collaborated on research papers analyzing genetic diversity in fish populations.

Managed Network Expert (Data Analysis)

Chegg | December 2024 – Present

Provided expert solutions for statistical and data analysis queries (95% accuracy rate).
Analyzed complex datasets and created visual representations for advanced data concepts.
Collaborated globally to implement best practices in data analysis solutions.

Machine Learning Intern

Cognifyz Technologies | November 2024 – December 2024

Collaborated on predictive modeling projects to optimize business performance metrics.
Conducted data cleaning and preprocessing for large datasets.
Applied machine learning techniques to generate actionable insights from unstructured data.
Enhanced model accuracy by 12% through feature engineering and hyperparameter tuning.
Utilized SQL, Numpy, Pandas, and Python for efficient data processing and development.

Data Science Intern

Cognifyz Technologies | September 2024 – October 2024

Collaborated on predictive modeling projects to optimize business performance metrics.
Conducted data cleaning and preprocessing for large datasets.
Applied machine learning techniques to generate actionable insights from unstructured data.
Enhanced model accuracy by 12% through feature engineering and hyperparameter tuning.