Computer Science student specializing in Data Analysis and Machine Learning. I focus on helping clients process datasets and extract meaningful insights to support data-driven decisions. ​My Practical Skills: ​Data Cleaning & Analysis: Cleaning raw data, handling missing values, and performing exploratory data analysis using Python. ​Machine Learning Models: Building, training, and testing standard machine learning models on Google Colab to solve practical data problems. ​Database & SQL: Writing clean SQL queries to aggregate, filter, and extract data efficiently. ​Programming Fundamentals: Practical experience in Python, SQL, and C++ for logic building and problem-solving. ​Technical Tools: ​Languages: Python, SQL, C++ ​Libraries & Tools: Pandas, NumPy, Scikit-learn, Google Colab, Google Sheets ​I am committed to delivering clean, well-explained work and clear reports on time.