EskwelabsEskwelabs Data Analyst
Oct. 2021 - Dec. 2021Eskwelabs Data Analytics Bootcamp Cohort 4
• Participated in a simulated Climate Change Conference, and used PowerBI to extract, clean, and derive insights from data on Singapore’s CO2 emissions in relation to its contributing GDP sectors and policies in effect, and giving simple recommendations on sector-specific emissions
• Data exploration and extraction, visualization, and storytelling using SQL, Google BigQuery, and Google Data Studio for PasaJob, a referral-based job platform and partner worktech company of Eskewelabs
○ Determined and presented insights on job categories and industries that are hardest to fill by analyzing vacancy-to-user ratios and variances between experience level of users and that required in the job posts
○ Investigated and identified discrepancies in metrically dissimilar internal and external data, matching job posts to its closest corresponding projected growth and industry salary range, and deriving insights which the company could use in determining its market focus or proposed salaries and referral fees