Position: Junior data analyst
Category: Data Analyst
English level: upper
Years of experience: 0


Self-employed , developing my own pet projects 2022 - till now
I conducted data analysis for Takflix, an online video streaming service, focusing on two key metrics: customer loyalty coefficient and gift coefficient.
Through this analysis, I provided Takflix with insights into the loyalty of their customers and the effectiveness of their gift program. These findings can help inform strategies for customer retention and loyalty-building initiatives, ultimately contributing to the growth and success of the online video streaming service.

I developed a module for finding the best machine learning model.
The module I created employs techniques such as grid search CV to explore different combinations of hyperparameters for each model. By systematically evaluating the performance of various models and their respective hyperparameter settings, the module identifies the model that yields the best results for the given data.

I performed time series analysis on data from retail stores, specifically focusing on using ARIMA models and studying the data for stationarity.
In my analysis, I utilized ARIMA (AutoRegressive Integrated Moving Average) models to capture the patterns and trends in the retail data over time. ARIMA models are commonly used for time series forecasting and can effectively model the dependencies and variations in sequential data.

In my analysis of YouTube trending data, I explored various aspects of the videos, including view counts, likes, dislikes, and comments. I conducted sentiment analysis on the comments to gain insights into the overall sentiment expressed by viewers towards the videos. Additionally, I employed clustering analysis to identify patterns and group similar videos based on their attributes. By combining these approaches, I obtained a comprehensive understanding of the popularity, sentiment, and categorization of the trending YouTube videos.