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About Me :

I am a Data Analyst from Iran.

  • I'm always learning programming Python, R, and mathematics.

  • My goal is initially to become a good Data Analyst and eventually a Data Scientist.

  • In my free time, I read repositories on GitHub, Q&A on Stack Overflow, new Datasets, and Jupyter Notebooks on Kaggle.


Languages and Tools :

Python  R  anaconda  jupyter  kaggle  MySQL  AWS 

Amir Motefaker's Projects

a-b-testing icon a-b-testing

A/B Testing means analyzing two marketing strategies to choose the best marketing strategy that can convert more traffic into sales (or more traffic into your desired goal) effectively and efficiently.

accelerometer-data-analysis icon accelerometer-data-analysis

Accelerometer is a device used to measure the acceleration or vibrations of a motion. The data provided by an accelerometer is three-dimensional and can be used in data-driven applications for solving problems like fall detection and health monitoring.

algorithmic-trading icon algorithmic-trading

Algorithmic Trading is the use of algorithms in the financial market to make trading decisions. JP Morgan Chase & Co. is one of the businesses that use Algorithmic Trading for investment decisions.

bank-customer-churn-prediction icon bank-customer-churn-prediction

Predicting which customers are at high risk of leaving your company or canceling a subscription to a service, based on their behavior with your product.

covid-19-impacts-analysis-on-the-global-economy icon covid-19-impacts-analysis-on-the-global-economy

The outbreak of Covid-19 resulted in a lot of restrictions which resulted in so many impacts on the global economy. Almost all the countries were impacted negatively by the rise in the cases of Covid-19.

cricketer-players-analyzing icon cricketer-players-analyzing

Virat Kohli is an Indian international cricketer and the former captain of the Indian national cricket team. Analyzing a player’s performance is one of the use cases of Data Science in sports analytics. Virat Kohli is one of the most famous cricketers in the world.

customer-lifetime-value-analysis icon customer-lifetime-value-analysis

Customer lifetime value analysis is used to estimate the total value of customers to the business over the lifetime of their relationship. It helps businesses make data-driven decisions on how to allocate their resources and improve their customer relationships.

demand-and-supply-analysis icon demand-and-supply-analysis

Demand and Supply Analysis is a valuable concept used to analyze the relationship between the quantity demanded and the quantity supplied.

exercises icon exercises

Review exercises in the comprehensive Python course

flipkart-reviews-sentiment-analysis icon flipkart-reviews-sentiment-analysis

Flipkart is one of the most popular Indian companies. It is an e-commerce platform that competes with popular e-commerce platforms like Amazon. One of the most popular use cases of data science is the task of sentiment analysis of product reviews sold on e-commerce platforms.

google-search-analysis icon google-search-analysis

Approximately 3.5 billion searches are performed on Google daily, which means that approximately 40,000 searches are performed every second on Google. So Google search is a great use case for analyzing data based on search queries.

icc-mens-t20-world-cup-2022-analysis icon icc-mens-t20-world-cup-2022-analysis

If you want to learn how to analyze a sports event like the T20 World Cup, this notebook is for you. This notebook will take you through the task of T20 World Cup 2022 analysis using Python.

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