
Muhammad Samie
CODEXA
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Expérience professionnelle
AI/ML ENGINEER / DEVELOPER INTERN
share • Temps plein
Jul 2026 - Sep 2026 • 2 mos
JOB HISTORY / PROFESSIONAL EXPERIENCE During my internship at Decode Labs, I worked in a professional Data Analytics environment while developing hands-on exposure across Artificial Intelligence, Machine Learning, Python, Data Analysis, and Software Development. This experience helped me understand how modern businesses use data, AI, and technology to solve real-world problems and improve decision-making. I worked with a problem-solving mindset, focusing on analytical thinking, data-driven insights, technical implementation, and delivering practical solutions according to project requirements. My experience at Decode Labs strengthened my understanding of the complete data lifecycle, including data collection, cleaning, preprocessing, exploratory data analysis, visualization, pattern identification, and interpretation. Alongside analytics, I developed a stronger foundation in AI and Machine Learning, including understanding datasets for model development, identifying relevant features, analyzing patterns, and exploring how machine-learning approaches can be applied to real-world problems. ACHIEVEMENTS & CONTRIBUTIONS One of my major achievements during the internship was expanding my technical perspective from traditional data analysis toward a broader AI and technology-driven approach. I learned how analytical insights can become the foundation for intelligent systems, predictive solutions, automation, and data-driven applications. I strengthened my practical knowledge of Python, Data Analytics, Exploratory Data Analysis (EDA), Data Visualization, Machine Learning concepts, AI workflows, data preprocessing, analytical problem solving, and technical documentation. I also improved my ability to understand project requirements, structure tasks, troubleshoot problems, work with deadlines, and deliver results in a professional environment. The internship helped me develop a stronger connection between data, artificial intelligence, machine learning, and software de