Position: Statistical Pogrammer/Analyst
Category: Data Science
English level: intermediate
Years of experience: 1.5

Ph.D. degree in Biology.
Kaggle master and double expert.
Experienced with machine learning algorithms (for regression, classification, and clustering), computer vision architectures. Familiar with NLP models. Well-versed in Python and R programming languages, and SQL. Strong background in scientific experiment management and statistics. Ph.D. degree in Biology. Teaching experience in higher education. Kaggle master and double expert.

Projects:
- "PlantStat package developing"
03/2021 to Present
Developing a small package for fast and convenient statistical data processing, and simple AutoML for classification, regression, clustering, and CV classification of microscopic images. The package is used by some educational and scientific institutions in Ukraine.

- "Cassava Leaf Disease Classification with CNN"
11/2020 to 02/2021
Skill sets: Convolutional Neural Networks, Tensor Flow/Keras
Applied Tensor Flow/Keras to train CNN models (mainly EfficientNet, less Inception and ResNet) that correctly predicted 89% of images

- "Classify the presence and correct placement of tubes on chest x-rays"
12/2020 to 03/2021
Skill sets: Convolutional Neural Networks, Tensor Flow/Keras
Applied Tensor Flow/Keras to train CNN model with 0.96 AUC score

- "Data science Reddit posts: collect, analyze, and NLP modeling"
03/2021 to Present
Skill sets: Data Mining, Natural Language Processing, Clustering, TF-IDF, KNN, requests, Beautiful Soup, NLTK, RAPIDS, gensim
Collected over 500 000 Reddit posts related to data science. Created a post similarity analyzer.
I am looking for an interesting job in Data Science or Data Analysis. I am obsessed with self-development, so I am interested in projects where I can progress as a professional. Interested in a long-term cooperation.