Data Scientist

Data Scientist
ID : 1074
Work experience level  : Experienced- (4-7 year experience)
Job type  : Online
Last date of registration :
Profile description
Work experience In details :
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Hard skills

Analytics: R Studio & Python
Statistical Analysis, Supervised & Unsupervised ML
model building, Clustering techniques, Data ensemble
methods. Applying Factor Analysis/PCA.
Packages : tidyverse, tidymodels,

Visualizations : Tableau, Google Data
Studio, Infogram
Deriving Insights, Data Manipulations & Visualizations
and Building Interactive Dashboards & Story Boards.

Graphics Design : Canva
Ability to create attractive Social media posts and

BigData: Hadoop & Pyspark
Experienced in handling large datasets using pyspark
API. Competent in building and enhancing data pipe
lines using reusable frameworks to support data need
for financial forecast using pyspark.

Analytics: Google sheets
Scheduled data import from GBQ. Data transfer
within google sheets with filters.

Relational Database : Postgre SQL,
Google Big Query, MySQL
Importing & Storing data, Data Manipulation
(i.e: Filtering, Sorting, Pattern Matching), Writing
sub-queries and etc.

Cloud Architecture: Google Cloud
Creating a docker image of R-script and deploying it
into google cloud as a scheduled cron job.
Tools: GCP APIs, Docker.

Soft skills
Special notes

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