Afnan Khan

Data Science professional with 2+ years of IT networking experience and hands-on expertise in Machine Learning, NLP, SQL analytics, interactive dashboards, and Generative AI workflows. Proven ability to build predictive models, automated data pipelines, and scalable analytics solutions to support data-driven decision-making and operational efficiency. Skilled in translating complex data into actionable business insights across cross-functional environments.

Data Science Trainee at skilledUp (2025-01 – Present)

• Designed & deployed end-to-end Machine Learning pipelines, improving prediction accuracy by 22%, while enabling scalable experimentation workflows and reproducible analytics environments.
• Automated data preprocessing & transformation pipelines using Python (Pandas, NumPy, Scikit-learn), reducing manual effort by 40% and improving dataset quality for analytics and modeling.
• Developed regression & classification models for forecasting and strategic planning, enhancing decision-making efficiency and improving operational performance by 18%.
• Implemented advanced feature engineering and model optimization techniques, improving precision & recall by 15%, increasing model reliability and interpretability.
• Built NLP-based text analytics pipelines using TF-IDF and classification algorithms, extracting actionable insights from unstructured data to support business intelligence initiatives.
• Managed enterprise-level LAN infrastructure (50+ systems) ensuring 99% uptime through network monitoring, troubleshooting, bandwidth optimization, and firewall-based security controls

IT Networking Engineer

2 Years Experience

• Managed LAN infrastructure for 50+ systems, ensuring stable network availability, seamless user connectivity, and uninterrupted business operations through proactive configuration, monitoring, and issue resolution.
• Maintained 99% network uptime by implementing continuous monitoring strategies, preventive maintenance routines, and rapid incident response mechanisms to minimize downtime and ensure service reliability.
• Configured and optimized servers and bandwidth allocation, improving network performance efficiency, reducing latency issues, and supporting smooth execution of enterprise applications across departments.
• Strengthened infrastructure security by deploying firewall protection policies, monitoring unauthorized access attempts, and implementing network-level safeguards to reduce vulnerabilities and operational risks.

Bachelor of Computer Applications in Computer Applications – Swami Vivekananda Subharti University (2026)