Position: Data Science/Machine Learning Trainee
Category: Data Science
English level: fluent
Years of experience: 1

english: C1 certificate+C2 course
german: C1 certificate
kaggle competitions: Cassava Leaf Disease Classification - top 11%; Mechanisms of Action (MoA) Prediction - top 25%
Also currently participating in Optiver Realized Volatility Prediction competition (top 20%)
Bachelor degree in Economic Cybernetics (KPI), currently studying for master's degree (same field), knowledge in quantitative finance, risk modelling, credit scoring modelling 
Languages: C++, Python, SQL, R(basic)
Strong knowledge in mathematical finance including stock prediction (LSTM + ARIMA + Monte Carlo Markov Chain), investment portfolio optimization and hedging
Experience in regression and neural models for stock prediction (bachelor thesis is uploaded on my github)
Kaggle competitions CV and tabular (CNN pytorch, tabnet, xgboost)
my kaggle: equinxx
Courses: 
* Python, SQL
* Deep Learning Specialization by DeepLearning.AI (5 courses) 
* Build Better Generative Adversarial Networks (GANs) by DeepLearning.AI
* Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by DeepLearning.AI
I also have knowledge in binary classification models
Looking for any job experience that involves personal growth and progress, especially research opportunities :)
Even though I have experience in mathematical finance and economic modelling, I am also interested in CV/NLP projects and I would gladly be involved in projects from international clients due to my strong language skills