Design and implement financial strategies to monitor and trade in the stockmarket, with emphasis on delivering on time and proper documentation.Worked with different languages including golang, Python, mql4 to achieve therequirements of the tasks.Used golang to crawl statistical and news websites to gather information aboutthe stock market.I used different packages and technologies in python in my daily basis,including async, pandas, multi-threading, and multi-processing.Took responsibility and ownership of several large legacy code-bases.Achievements● Improved the execution time of a legacy data analysis Python script frommore than 24 hours to 26 minutes, using multi-processing and indexing thedata in the Pandas dataframe

Design and implement financial strategies to monitor and trade in the stock market within the fintech industry. I used different packages and technologies in Python on a daily basis, including async, pandas, and multi-threading. In addition, I occasionally needed to learn and use specific trading languages like MQL4 and Pine Script. I also used Docker and Docker-Compose for deployment, PostgreSQL for database management, and Git for version control. Achievements:● Improved Binance data fetch from 10 minutes to less than 30 seconds by applying multi-threading, which helped us to be more precise with our stock selection process.● Docker, Docker-Compose: streamlined the deployment process.

Software, hardware and network support.Team work in an organization with several thousand employees.