As a directional driller with Baker Hughes I have experience in automating the drilling processes using machine learning, I am excited about the opportunity to transition my skills to the field of data science.
I am eager to learn and volunteer as much as I can to gain the necessary skills to excel in this role. My background in drilling has provided me with a strong understanding of data analysis, process optimization, and problem-solving. I am confident that my experience in machine learning, combined with my strong desire to learn, will make me a valuable asset to your team.
I am excited about the opportunity to work with a team of experts in the field and to contribute my skills to help drive the project's success.
Personal information
Full name: KHIZ AMIR
User name: khizramir14
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Bachelor's on Computer Science (University of Adelaide)
Volunteer availability
Start date: Feb. 2, 2023
End date: None
Hours available per week: 20
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
Computer Science (Algorithms)
Java
Ruby
PHP
Clojure
Haskell
JavaScript
C/C++/C#
Data in Text Files
SQL
Data in Relational Databases
Text Data (NLP)
Network/Graph Data
Multimedia Data (Video or Audio)
Data from Sensors
Data > 1TB
Geospatial
GIS tools
Data Visualization
Social Science (Economics, Sociology, etc.)
Experience working on real-world problems using data
Experimental Methods (RCTs, A/B testing, etc.)
Data Analysis
Causal inference
Decision Trees
SVMs
Random Forests
Neural Networks / Deep Learning
Time Series Models
Unsupervised models
Semi-Supervised models
Graphical models
Instrumental Variables
Regression Discontinuity
Matching (e.g., Propensity Score Matching )
R
Matlab
SAS
Stata
Julia
SPSS
Volunteer projects
No volunteer work yet.