Adnan Shami

Developed and optimized predictive regression models (Linear, Random Forest, and Gradient Boosting) to estimate property values, achieving a high-accuracy R2 score of 0.85. Engineered an end-to-end Machine Learning pipeline for vehicle market value estimation, conducting comprehensive Exploratory Data Analysis (EDA) and feature engineering to reach an R2 of 0.88. Deployed interactive web applications using Gradio, enabling real-time model inference and user-testing.

AI/ML Intern - ShadowFox - Remote, India

(2026-03)

• Developed and optimized predictive regression models (Linear, Random Forest, and Gradient Boosting) to estimate property values, achieving a high-accuracy R2 score of 0.85.
• Engineered an end-to-end Machine Learning pipeline for vehicle market value estimation, conducting comprehensive Exploratory Data Analysis (EDA) and feature engineering to reach an R2 of 0.88.
• Deployed interactive web applications using Gradio, enabling real-time model inference and user-testing.
• Tech Stack: Python, Pandas, NumPy, Scikit-learn, Gradio.

Industrial Trainee - Jindal Steel & Power Ltd. (JSPL) - Patratu, Jharkhand

(2021-11 - 2021-12)

• Analyzed end-to-end manufacturing operations within the Wire Rod Mill Department, focusing on industrial heating, rolling, and finishing processes.
• Collaborated with senior engineering teams to audit plant safety protocols and observe data-driven decision-making in large-scale industrial operations.
• Authored a technical project report titled "Overview of Wire Rod Mill," documenting process optimization opportunities and mechanical workflow efficiencies.

B. Tech - Computer Science and Engineering - Techno International New Town (2026-06)

Diploma - Mechanical Engineering - Al Kabir Polytechnic (2019 - 2022)

CBSE - Sri Agrasen School (2019)