Why IBM? Innovative Technology & Leadership IBM is a pioneer in technology and innovation, leading advancements in AI, cloud computing, quantum computing, and more. Being part of a company that shapes the future of technology is inspiring. Commitment to Sustainability and Ethics IBM’s commitment to sustainability and ethical AI resonates with my values. The company’s focus on responsible innovation aligns with my personal and professional goals. Professional Growth Opportunities IBM provides an environment for continuous learning through programs like IBM SkillsBuild and internal mentorship opportunities. I value such an environment where I can grow and contribute. Collaborative and Inclusive Culture IBM’s focus on fostering a collaborative and inclusive workplace, evident from initiatives like diversity in tech and employee resource groups, makes it an ideal place for personal and professional development. What is your experience with Python and data science? Proficiency in Python I have extensive experience in Python, particularly in data analysis, machine learning, and system development. For example: Developed Python scripts leveraging Gaussian Mixture Models (GMM) for data clustering. Enhanced defect classification pipelines using Local Outlier Factor (LOF) for anomaly detection. Built efficient log parsers to analyze large-scale system data. Data Science Expertise Familiar with libraries like NumPy, pandas, and Matplotlib for data manipulation and visualization. Experienced in building machine learning models using scikit-learn and TensorFlow. Comfortable with exploratory data analysis (EDA) and statistical modeling. Project Examples Developed a Sport Center application integrating predictive models to recommend schedules and training plans. Worked on optimizing feature extraction and classification for industrial defect detection using machine learning. Teamwork & Mentorship I stay updated on the latest tools and techniques, experimenting with frameworks like PyTorch and exploring advanced topics like reinforcement learning.