Data Analyst/Data Scientist focused on data-driven recommendations, SQL, Python, BigQuery, Google Analytics, Python, machine learning algorithms, tools teaching to non-technical colleagues, query scheduling coordination with VS Code, Jenkins, and AirFlow to enhance data automation and reporting reliability.Work Experience with SQLWork Experience with PythonWork Experience with BigQueryWork Experience with Google AnalyticsWork Experience with Power BIWork Experience with ExcelWork Experience with VS CodeWork Experience with JenkinsWork Experience with AirflowWork Experience teaching SQL to non-technical colleaguesMulti-disciplinary skills in data interpretation for both reporting and strategic planning.Learning enthusiast of data science, digital analytics, web analytics, digital marketing, data viz, audience and consumer insightsAnalyze client’s media strategy and make recommendations on how to improve performance (e.g increase reach, drive more leads, improve ROI etc)Use customer data (Web Analytics, CRM etc) to make recommendations to improve digital performance and effectivenessData-driven approach to solve complex business problems for clients; Serve as an Analytical Consultant to the market; Perform SQL queries; Sort and filter data using SQL queries; Convert data types using SQL functions; Create business insights, including user experience and recommendation for consulting project; Create visuals in spreadsheets; Create presentations from data analysis results; Identify the data needs of users; Create data cleaning reports; Clean data in spreadsheet; Sort and filter data in spreadsheets; Create pivot tables in spreadsheets