Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 4


Projects:
- Application Credit Scoring System (end-to-end) in Banking Industry
- Time Series models to forecast different scenarios in Banking Industry
- Churn Model Dev/Deployment(end-to-end MLOps)

I Have:

* Machine Learning Background to solve business problem
* Statistics and Math Knowledge to frame any problem.
* Sharp business mind to understand and approach each problem 
   individually

Tech Stack

* Docker
* Git
* Terraform
* CI/CD Approach
* MLflow
* MySQL
* Python
    - ML: sklearn, pandas, numpy
    - MLOps: FastAPI, boto3, sqlalchemy, pydantic
* R
    - tiydverse, tidymodels, baguette
    - pins, plumber, vetiver, aws.s3
    -  shiny, shinydashboard, highcharter, plotly, ggplot2
* AWS
    - S3
    - EC2
    - ECS

Background:

* Business Problem Understanding
* ML Algorithms: XGBoost, Random Forest, Bagging, Regularization, Regression, CART
* Statistics: Hypothesis Testing, Resampling, Estimation Statistics, Econometrics
I look for a Data Scientist position with desirably MLOps focus.
I am a problem solver, you can make sure I always focus on the problem, giving the best solution rather than getting stuck on picking the coolest tool.