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Rafal Pronko
Warsaw, Poland
In my work, I'm mainly using PyTorch framework for any deep learning project. Now I'm working on decentralized apps which used the blockchain as a part of payments methodology, my research field for this projects: token design, token economy, governance mechanism, incentivization mechanism, token engineering.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
261.3
CodersRank Rank
Top 3%
Based on:
7 events
Associate
Developer
Python
Associate
Developer
Jupyter Notebook
Highest experience points: 0 points,
0 activities in the last year
Jupyter Notebook
86.2
exp.
Python
99.3
exp.
JSON
41
exp.
JavaScript
5.6
exp.
List your work history, including any contracts or internships
CV Timeline
1 year 3 months
Tech Lead Data Scientist
Jan 2020 - Jun 2020 (5 months)
Working on projects like:
1) Creating the data infrastructure - create the databases in Postgresql, creating the data warehouse on Google BigQuery, creating and managing the ETL process with Airflow on Google Composer, Beam
2) Data Scientist - find the pattern in structured and unstructured data from CV's - find the pattern for tenure prediction, normalize the skills and job titles working with FastText, LightGBM, ADASYN, TomekLink - build own language model with Spacy based on data from the resumes.
3) BI - creating the reports for business in tableau and datastudio
4) Making the stress tests with locust, make the recommendation of what should be improved
5) Manage / Mentoring the team
6) Creating the plan for DS / ML projects in the company
7) Deploy the models with the Google Prediction
8) Using XAI methods for the production models to explain the decision.
1) Creating the data infrastructure - create the databases in Postgresql, creating the data warehouse on Google BigQuery, creating and managing the ETL process with Airflow on Google Composer, Beam
2) Data Scientist - find the pattern in structured and unstructured data from CV's - find the pattern for tenure prediction, normalize the skills and job titles working with FastText, LightGBM, ADASYN, TomekLink - build own language model with Spacy based on data from the resumes.
3) BI - creating the reports for business in tableau and datastudio
4) Making the stress tests with locust, make the recommendation of what should be improved
5) Manage / Mentoring the team
6) Creating the plan for DS / ML projects in the company
7) Deploy the models with the Google Prediction
8) Using XAI methods for the production models to explain the decision.
Senior Data Scientist
Mar 2019 - Jan 2020 (10 months)
Working on projects like:
1) Creating the data infrastructure - create the databases in Postgresql, creating the data warehouse on Google BigQuery, creating and managing the ETL process with Airflow on Google Composer
2) Data Scientist - find the pattern in structured and unstructured data from CV's - find the pattern for tenure prediction, normalize the skills and job titles working with FastText, LightGBM, ADASYN, TomekLink,...
3) BI - creating the reports for business in tableau and datastudio
4) Making the stress tests with locust, make the recommendation of what should be improved
1) Creating the data infrastructure - create the databases in Postgresql, creating the data warehouse on Google BigQuery, creating and managing the ETL process with Airflow on Google Composer
2) Data Scientist - find the pattern in structured and unstructured data from CV's - find the pattern for tenure prediction, normalize the skills and job titles working with FastText, LightGBM, ADASYN, TomekLink,...
3) BI - creating the reports for business in tableau and datastudio
4) Making the stress tests with locust, make the recommendation of what should be improved
TensorCell
Nov 2019 - Jun 2020 (7 months)
Researcher
Working on optimization traffic lights in Warsaw. Main task:
1) create the code and run the experiment with simulated annealing and adaptative simulated annealing using the simulator and prediction methods
Technology:
Python, Click, LightGBM, PyTest, RESTApi
Algorithm:
Simulated annealing algorithm
1) create the code and run the experiment with simulated annealing and adaptative simulated annealing using the simulator and prediction methods
Technology:
Python, Click, LightGBM, PyTest, RESTApi
Algorithm:
Simulated annealing algorithm
Codility
Apr 2019 - Jun 2020 (1 year 2 months)
Task creator
Create recruitment tasks for Data Scientists / Machine Learning Engineers
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