Pawel Stasinski

Pawel Stasinski

$20/hr
Machine learning deep learning nlp computer vision
Reply rate:
25.0%
Availability:
Hourly ($/hour)
Location:
Warsaw, Mazowieckie, Poland
Experience:
5 years
About

Good morning!

Look at my reviews/portfolio at Upwork. I could send you a sample of my projects from other activities/jobs. I am open to calling (I am not afraid to speak in English).

I've completed more than 20 projects with success connected with Data Science. Most of them were connected with Machine Learning, like data generation with LTSM, voice synthesis using Tacotron, Speech Recognition in Octave, or Python. I've to prepare signal processing in Matlab.

Also, I've performed a lot of Data Analysis tasks using Pandas/Numpy/Sklearn(mainly Regression or Classification). I have some small projects, which are connected with Time-series processing and predictions.

Now I am focusing to help my client from the USA, I am creating API in Python to EEG signal processing.

if you have any question please don't hesitate to ask, probably we will get along about project requirements and budget.

About me:

I was studied at the Faculty of Physics at the University of Warsaw.

I have experience of working as a Python programmer, currently working on data analysis as a Data Scientist. I am able to support you in matters of data analysis, statistics, or machine learning. Most interested in projects involved with:

  • AI
  • Deep Learning 
  • Computer Vision 
  • Machine Learning
  • Image processing
  • Digital Signal processing
  • Time series processing/forecasting  
  • Deep Fake
  • Voice synthesis
  • Build, Train, and Deploy a Machine Learning Model

Practical skills in working with libraries and frameworks;

  • Python
  • Pandas
  • PySpark,Machine Learning Library (MLlib), Scala
  • sklearn
  • Matlab, Octave
  • SQL
  • deep learning frameworks, such as TensorFlow, Theano, Caffe, PyTorch or Keras
  • Build, Train, and Deploy a Machine Learning Model using AWS Sagemaker
  • R(dplyr, tidyverse, ggplot, caret, heaven)
  • Google Datastudio,
  • Power BI
  • Data Analysis in R, Python, Julia.
  • Computer Vision in Python and C/C++(Pillow, OpenCV)
  • Linux, Bash
  • Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) techniques

application of ML & ANN);

  • Adequate mathematical training to solve the problems of video stream processing;
  • Cloud-based data science tools for Big Data analytics, such as Databricks on Microsoft Azure
  • AutoML software such as TPOT or H2O driverless AI.

If you didn't find a technology/module/programming on the list, please don't worry.

I will help you find a solution. Feel free to contact me!

Yours sincerely,

Pawel

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