My Journey

Mastering the fundamentals of programming and problem-solving

Key Skills & Achievements

• Implemented classic data structures like linked lists, trees, graphs, and hash tables
• Solved algorithmic problems on platforms like LeetCode and HackerRank
• Learned time and space complexity analysis to optimize solutions
• Built a strong foundation in object-oriented design
• Practiced coding interviews and whiteboard problem-solving

Diving into data analysis, visualization, and machine learning techniques

Key Skills & Achievements

• Learned Python libraries like Pandas, NumPy, and Matplotlib for data manipulation and visualization
• Built machine learning models using Scikit-learn for classification and regression tasks
• Explored deep learning frameworks like TensorFlow and PyTorch
• Worked on projects involving machine learning pipelines, from data preprocessing to model deployment
• Made models on kaggle datasets
• Gained experience in feature engineering, model evaluation, and hyperparameter tuning