Data Scientist, Data Analyst, Tableau Python SQL AWS

Department: HOT HK
Salary: $36K-40K HKD per month

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RECRUITER SUMMARY

HOT_HK Data Scientist, Data Analyst, Tableau Python SQL AWS, $40K HKD per month

17/01/2024

Candidate Background

Nationality:
Indian IANG Visa
Residence:
Hong Kong
Education:
Master of Science, Data Science    XXXX, Computer and Data Engineering, Computer Science XXXX
Languages:
English – Fluent, Hindi – Native
Experience:
3 years of experience in the Data industry Current & Previous Employers and jobs include: Data Analyst at XXXX, Risk Assurance Associate at XXXX, Summer Intern at XXXX
Motives:
Is actively looking for a job right now because had some layoffs in previous company. Open for Data Analytics/Data Science/Data Engineer roles.
Current Salary:
$31K HKD per month
Expected Salary:
$36K-40K HKD per month
Notice Period:
Can start immediately
Interview Availability:
Requires a day notice

Interview Assessment Notes

  1. Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
    Has about 3 years of experience in analytics and data science. His current job is a Data Analyst for XXXX where he was mostly implementing SQL scripts to extract customer data and construct new stored procedures. He used to work with Tableau as well and developed dashboards and provided user training and comprehensive documentation for them. The main tools that they are using are Tableau, Python, and SQL. Before this, he was with XXXX where he worked on couple of projects and building Python frameworks for a digital wallet in Hong Kong and provided data cleaning and exploratory data analysis to gain valuable insights and to provide an optimized threshold. Also worked on some data governance projects for XXXX.  
  2. What skill(s) / experience would you self-describe as strongest or specialist in?
    Strongest skill would be Python, SQL, Tableau and also proficient with AWS. Had his AWS Certification last year and was a Cloud Practitioner and Machine Learning. Has been using Python for 2.5-3 years, SQL and Tableau for about 2 years now, and about a year for AWS. Rates himself a 4.5 in both Python and SQL, 3.5 on Tableau and AWS.
  3. Do you have the lists of key criteria according to the client’s requirements?
    Has about 3 years of experience in data analytics and can say he is strong with Python. Also learned Java, JavaScript, and C++ during his university days. Worked on databases before and worked on creating pipeline on a tool called Azure Data Factory. Has worked and managed databases before such as MySQL and SQL; have heard of RabbitMQ and MongoDB but haven’t used them professionally. Have experience with AWS, has used Azure Data Factory and Data Studio before and also aware of other Azure products.

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