Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2.5


Skilled Data Scientist with more than 2.5 years of experience in the banking field in Agile working environment. Good knowledge of Python, SQL, Grafana, Dataiku DSS, Git. I also had experience with tensorflow 2.0, C++, Tableau and PowerBI.

Main Tasks: Data Mining, Data Cleaning, Data Analysis, Feature Engineering, Hypothesis Testing, Modeling,
Deploying and etc.

Main Projects:
1. Churn Prediction - Developing a predictive model to forecast customers who are likely to leave the bank
within the next three months. The final models were deployed in production and integrated into the bank's
CRM system to implement proactive actions to prevent the churn.
2. Propensity Models - Developing propensity models for loan and salary products on DataIku platform, which
would allow for effective targeting of potential customers. The final models were deployed in production
and integrated into the bank's CRM system, enabling effective targeting of potential customers who were
most likely to take up loan and salary products.
3. Client Hunt - Using machine learning algorithms, such as collaborative filtering or association rule mining to
acquire potential new customers who shared similar transactional behaviors with the bank's current
customers.