Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 2


My name is Levon Avetisyan, I have recently completed International Master Program in Data Science and Analytics at EPITA Paris.
While I initially obtained a Master's degree in Corporate Finance, I have always been fascinated by the IT industry realizing its unlimited potential. I spent 7 years working in several start-ups engaged in website and mobile application development. In recent years I have become passionate about machine learning and data analysis which was the reason why I decided to complete this Master's program with a strong intention to change my professional orientation and focus on data science. 
I strongly believe that both my previous academic background, my work experience in the IT industry as well as my latest studies have taught me flexibility, adaptability, and the ability to think out of the box. I am equally a true team player, a hard worker as well as a stress-resistant and enthusiastic person. 
From a technical perspective, I have over three years of experience working with Python, SQL as well as Python data analysis libraries like Pandas and NumPy. For data visualization, I have experience working with Tableau and Matplotlib.
With regard to recent practical experience, I was involved in the following projects. 
•	Genetrainer:
o	Teamwork organization
o	Data analysis and data visualization
o	Development and of machine learning models using scikit-learn
•	EasyDMARC 
o	Prepared DMARC reports data analysis for the machine learning team to help drive the improvement of the AI algorithms
o	Implemented relevant research paper findings and developed the beta version of the machine learning model to detect false DMARC failed emails (using DBSCAN)
o	Used Tableau and Python (Pandas) to search for valuable insights in DMARC report data
•	Freelance project: stock market trading algorithm development 
o	Prepared Tableau dashboards for the visualization of trading opportunities in pair trading 
o	Used zipline python library to perform back tests on trading algorithms on stock market historical data 
o	Used Bayesian Optimization to find optimal hyperparameters for trading algorithms