HUZEFA SADIKOT

Analyzed 1000 share prices daily using pandas to determine whether the trade could result in a profit or a loss. Reduced the losses in trading transactions from 25% to 10%. Provided technical support to ensure user satisfaction of 100%. Used Pytest framework to test database connectivity to the broker API. Utilized SQL Database to store the information of trades executed. Minimized bugs in software and increased the speed by 10%. Incorporated API calls to store data efficiently in an SQL database. Automated daily login procedure using Selenium. Increased the application performance to 80% using machine learning techniques to predict stock performance. Used Tableau to create Stock Market Dashboards to analyze Profit & Loss, and investments.

Used remote diagnostic tools to identify sources of certain customer issues. Explained complex technology-related issues in understandable terms to customers. Troubleshoot and resolve updates related to performance and upgrade by discussing with the team.

Worked with Aforeserve to manage HPE Servers (DL 360, DL560, DL580, DL980 Gen8,9,10 Servers, and blade servers). On-field Engineer for HPE (Managed HPE Servers, Storages, and smart solutions like HPE Synergy and Simplivity), Worked extensively on HPE ILO (to manage HPE Servers). Worked on HP BL460.