About me: my background experience is Data Analysis for business and finance cases with more than 2 years of coding experience, I have done(by python language) many Projects including:
•Data Scraping
•Data Wrangling
•Exploratory Data Analysis
•A/B testing
•make predictions using machine learning
•Outliers Detection.
•Projects:
•Data-Analysis-of-The-Movie-DataBase-TMDb(business and finance case)
•Analyze-A-B-Test-Results-e-commerce-website(business case)
•Wrangle-and-Analyze-Data—WeRateDogs(business case)
Main Skills:
•Programing by Python language
• Pandas, Numpy by Python language
•Matplotlib, Seaborn for Visualization byPython language
•Sklearn Machine Learning by Python language
•Data analysis by SQL.
•Data analysis by Microsoft Excel
Also, I have experience over 5 years for lawyer firm management,I work :
•Provide administrative support to lawyer and enhance office effectiveness.
• File and Gather exhibits, briefs appeals and other legal documents with court or opposing counsel.
• Investigate, locate and develop cases with old or new claimants "clients" and ensure that all relevant information is considered.
• Monitor deadlines courts hearings.
• Coordinating meeting and networking events between lawyers and clients.
• Performs administrative/clerical functions; carries out routine office procedures e.g., types, files, copies and scans documents, picks up mail from Email computer office and schedules and confirms appointments.
•Assist to record office expenditure and manage its budget.
In addition, I am studying to estimate the valuation of a business or to compare businesses to their peers in the industry (Financial Modeling & Valuation Analyst )with Microsoft Excel
Certificates:
Bachelor of Arts: Business Administration
Applied Science University - Amman-Jordan
GPA 83.2%
I earned the second rank in comprehensive efficiency exam for specialization Business Administration issued and certified by The Ministry of Higher In Jordan Education, 2008.
Nano Degree Data Analyst | Participant
Udacity - Online
Learned to use Python and SQL to organize data, uncover patterns and insights, make predictions using machine learning, and clearly communicate critical findings.