an aspiring analyst proficient in Python, R, SQL, PowerBI and Machine Learning.
Pursuing M.Sc. in Banking and Financial Analytics at Jamia Millia Islamia, my specialization encompasses Data analytics, Machine learning, statistics, and econometrics. I'm eagerly looking forward to applying this knowledge in practical, real-world situations, and this portfolio offers a glimpse into my learning journey.
I hold an Advanced Certificate in SQL obtained from HackerRank, showcasing comprehensive knowledge in utilizing SQL functionalities. Proficient in employing Windows functions, joins, Common Table Expressions (CTEs), and other advanced SQL techniques to efficiently manage databases and derive valuable insights.
Led a robust sales analysis initiative leveraging SQL database capabilities, dissecting top-selling products, key customer behaviors, and sales team performance. Managed a complex database with interlinked tables, employing advanced SQL techniques, like window functions, and integrated Power BI for intuitive, visual data presentations, enhancing decision-making processes.
Analyzed a vast dataset of 145,460 data points to predict Australian rainfall with an 85% accuracy. Employed diverse machine learning models like Logistic Regression and DecisionTree, showcasing a comprehensive approach. Used Python for efficient data preprocessing and model implementation, ensuring a robust predictive analysis.