Position: Data Analyst
Category: Python
English level: fluent
Years of experience: 3


I am a practiced Data Analyst with experience in machine learning and big data analysis.
I have a portfolio of relevant work and project demonstrating competencies across broad
sectors, including education, commercial, and healthcare.

Data Science & ML Skills:​

 Supervised learning​: Regression & Classification
 Unsupervised learning​: Clustering, K-mean, Gaussian models
 Deep neural networks​: CNN, RNN, LSTM, GRU & Attention Networks
 NLP​: Information extraction, NER recognition, Chatbots, sentiment analysis & word embeddings
 Computer vision​: Autonomous driving cars, Object detection, emotion detection from facial data, human identification, etc.
 Time-series prediction​: Quantitative and Qualitative Forecasting Methods, Moving Average, Exponential Smoothing, Time-series Regression, ARIMA, SARIMA, Drift method, Markov models.

Projects:

- A dual-stage attention using deep learning for sales forecasting:
 The project's main aim is to analyze the market and dataset, then predicting sales of big markets for future months or years. In project dataset coming from Walmart and Rossmann markets was used.

- Prediction of Cardiovascular Heart Disease using Unsupervised Learning based on Handwritten Text
 The handwritten dataset was collected from ill and healthy people manually, graphology of cardiovascular diseases was learned, and the database with features was built with the help of the database. By applying an unsupervised learning program could show results of accuracy.

and some of them described on GitHub account.