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Tags: [[tag:CompositeJD]] These are a composite set of skills extracted from various data analyst job descriptions. The idea is to generate a generic list of basic skills that I have and also ones that I can target. # Skill I have aligned to JD's - MS Excel basics and advanced skills, including knowledge of using VBA - Education: Engineering degree, i.e quantitative or technical background - Experience in dealing with customers and clients, and providing analytical support to solve problems and extracting business requirements + formulating strategies. - Experience in being a customer and dealing with technical support services for various softwares and services. - Experience in dealing with various stake holders. - Experience in dealing with multiple teams (intra and extra departmental). - Experience dealing with multiple products. - [ ] Basic knowledge of building dashboards (R Shiny) : examples need to be demonstrated. - Experience with Manual Data collection - Experience with ERP systems (CRM, Sales, Purchase, Manufacturing modules). - [X] Basic Extract Load Transform (ETL) knowledge, especially via ERP. This has to be highlighted in the CV. ## Other skills - Comfortable with Linux and CLI knowledge. Ability to handle a VPS. - Dealt with different forms of data analysis over 6 years. - [ ] Docker : sample project displaying skills. - Docker is not asked very commonly in data scientist profiles. However, it is certainly a strong skill to have as a data scientist. ## Skills to be developed The plans and details for this list of skills will be fleshed out soon. - TODO Better grip on fundamental statistics - TODO Improve familiarity with Excel - TODO Tableau : data viz/BI software (Examples of expertise to be formulated) - TODO Intermediate SQL (Fluency + projects) [0/2] - TODO Knowledge of the Agile/Waterfall process - TODO Fluency in Data Cleaning with Python [/] - TODO Fluency in ML with Python [0/1] - TODO Unit testing approach in code - TODO End to End project example with R (Data cleaning to ML) - TODO Atleast 1 end to end project in Python (Data cleaning to ML) - TODO Gain knowledge in dealing with larger datasets. - TODO Better expertise in 'Data Wrangling' and Exploratory Data Analysis (EDA) - TODO Gain fundamental expertise in Cloud Platforms - TODO Improving knowledge of how ML algorithms work - TODO Big data - TODO AWS fundamentals - TODO Demonstrate an automation pipeline process
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