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Oskar – Python, Machine learning, SQL, experts in Lemon.io

Oskar

From Poland (GMT+2)

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Data ScientistSenior
Hire developer
11 years of commercial experience
AI
Analytics
Aviation
Consulting services
Data analytics
Energy
Machine learning
Marketing
Renewable energy
Transportation
Mobile apps
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Oskar – Python, Machine learning, SQL

As a Senior Data Scientist with 11 years of experience, Oscar's exemplary soft skills are evident in his ability to create positive and productive interactions. He maintains a pleasant demeanor, fostering open communication and establishing rapport with colleagues and stakeholders alike. Moreover, Oscar demonstrates a strong capacity for collaboration and active engagement. Overall, his exceptional soft skills not only enhance team dynamics but also facilitate effective project execution and stakeholder management.

Main technologies
Python
6 years
Machine learning
7 years
SQL
8 years
Additional skills
Data analysis
Big Data
Keras
Pandas
Databricks
AI
NLP
Apache Spark
PySpark
Deep Learning
Ready to start
ASAP
Direct hire
Potentially possible

Experience Highlights

Data scientist
Feb 2023 - May 20233 months
Project Overview

The goal of this project was to prepare an advanced exploratory data analysis and recommendations for further data science and machine learning developments for the company's customer transportation data.

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Responsibilities:

Oskar proficiently managed the following tasks:

  • Gathered business requirements and project management;
  • Conducted quality data analysis;
  • Carried out exploratory data analysis;
  • Reported results to the project's stakeholders;
  • Managed the development of PoC machine learning models for demand forecasting and transport delay prediction.
Project Tech stack:
Python
Pandas
PySpark
Scikit-learn
Databricks
Data scientist
Oct 2021 - Jan 20223 months
Project Overview

The primary aim of this project was to establish a robust system capable of managing and moderating textual data originating from users of the mobile application.

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Responsibilities:

Among others, Oskar succeeded in the following duties:

  • Reported results to the project's stakeholders;
  • Performed data pipeline cleaning and processing text data;
  • Developed and deployed a machine learning model for topic modeling;
  • Created and implemented a machine learning model for sentiment analysis.
Project Tech stack:
Python
PySpark
Apache Spark
Scala
NLP
Hugging Face
Scikit-learn
Apache Airflow
Pandas
BigQuery
Data scientist
May 2017 - Dec 20181 year 7 months
Project Overview

This project, conducted for a leading airline, was centered around customer data analytics. Key components involved various machine learning models, including customer segmentation, propensity models, a real-time recommendation system for ancillary products on the website, and statistical analysis of marketing campaign data.

These models' predictive capabilities were leveraged to gain deeper insights into customer behavior, drive sales growth, and enhance marketing campaign targeting efficiency.

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Responsibilities:

Oskar's implemented the following tasks:

  • Developed machine learning classification models, predicting customer propensity to an ancillary product purchase;
  • Created Flask app launching propensity models prediction when a customer is booking a flight on the website;
  • Implemented machine learning clustering model for customer segmentation;
  • Statistical analysis of customer and marketing campaign data;
  • Cooperation with marketing and data engineering teams;
  • Reporting results to the project's stakeholders.
Project Tech stack:
Python
Pandas
Scikit-learn
Machine learning
PySpark
Keras
Flask
AWS
Hive
Energy market data analyst
Aug 2014 - Apr 20161 year 7 months
Project Overview

The goal of the project was to develop machine learning models forecasting:

  • Energy prices on the Polish Power Exchange market;
  • Wind and solar power plant production;
  • Trading risk.

Calculated forecasts were used for trading purposes in energy companies.

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Responsibilities:

On this project, Oskar had proficiently carried out the following:

  • Developed machine learning models forecasting future energy prices (linear models, random forests, SARIMAX models, neural networks: MLP, LSTM, CNN);
  • Created and implemented energy price stochastic risk model (diffusion model, VaR);
  • Developed a model forecasting renewables energy production (MLP neural networks);
  • Managed statistical analysis of energy prices and renewable energy production data.
Project Tech stack:
Python
Pandas
Scikit-learn
Keras
SQL

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