Shamkhal Hajiyev

• Developed multiple Time Series Forecasting models to predict sales, enhancing business decision-making through data-driven sales predictions. • Employed advanced analytical techniques to gain deep insights into product cannibalization dynamics, enabling strategic pricing and product positioning adjustments. • Leveraged clustering algorithms to proficiently identify and target potential customers for newly launched products, improving product launch success rates.

• Updating and maintaining MySQL Server database; • Using Python (Dash, Plotly, Flask and etc. libraries), Docker, and MySQL created user interactive multi-functional dashboard; • Updated database in a monthly period by using Python (Luigi, Pandas, Numpy and etc. libraries) and ETLs; • Created a bunch of Unit Tests to check the returns of APIs; • Applied Statistical Analysis, and various Machine Learning models to predict portfolio excess returns;