Aug 2025 – Nov 2025 · 3 mos · Pakistan · Remote

• Prepared and cleaned datasets by handling missing values, outliers, and scaling to ensure compatibility with machine learning models.
• Developed and optimized machine learning and deep learning models, and visualized insights using tools like Monday.com, Seaborn, and Matplotlib.
• Collaborated with peers to apply data science techniques on real-world datasets, enhancing teamwork and practical problem-solving skills.

Jul 2025 – Sep 2025 · 2 mos · Islamabad · Hybrid

• Prepared datasets by cleaning, imputing null values, handling outliers, and scaling data to ensure compatibility with machine learning models.
• Explored large language models (LLMs), gaining insights into their functionality, and learned to run them locally with custom parameter configurations.
• Worked on a real-world Bluetooth dataset to enhance model accuracy through hyperparameter tuning.

Mar 2025 – May 2025 · 2 mos · Remote

• I deepened my understanding of core machine learning practices using Python, with a strong focus on preparing data for real-world applications.
• 🔹 Learned and applied advanced data cleaning techniques, including handling null values, outliers, and inconsistent formats.
• 🔹 Gained hands-on experience in dealing with missing data using methods like imputation, filtering, and feature engineering.
• 🔹 Explored data visualization techniques using libraries like Matplotlib and Seaborn to uncover patterns, trends, and insights from raw datasets.
• 🔹 Developed a deeper understanding of how clean, well-structured data impacts the performance of ML models.

Jul 2024 – Aug 2024 · 1 mo

• Gained in-depth knowledge of firewalls, security mechanisms, and their working principles.
• Managed virtual machines and servers, ensuring optimal connectivity and performance.
• Utilized Cisco Packet Tracer to simulate network operations, enhancing practical understanding of networking concepts.

Jun 2024 – Aug 2024 · 2 mos

• Strengthened programming fundamentals through basic Python tasks, enhancing my coding skills.
• Handled data cleaning and preprocessing to ensure high-quality datasets for analysis.
• Developed predictive models to apply machine learning concepts, contributing to project goals.