Karol Ďuriš Email & Phone Number

Projects:- Stealth Heavy Industry Project: I led a 2-person team tasked with resolving the defectiveness of the coils wound on the winders (Python, PostgreSQL)- CandidAI: I built a model that scores the candidate's chance of success in the internal hiring process (Python)- Galgal: I developed the logic for the categorization of Indian transactions as well as the budget logic for the client (Python, PostgreSQL)- SLSP: I used transaction data to enhance credit scoring and… Show more Projects:- Stealth Heavy Industry Project: I led a 2-person team tasked with resolving the defectiveness of the coils wound on the winders (Python, PostgreSQL)- CandidAI: I built a model that scores the candidate's chance of success in the internal hiring process (Python)- Galgal: I developed the logic for the categorization of Indian transactions as well as the budget logic for the client (Python, PostgreSQL)- SLSP: I used transaction data to enhance credit scoring and credit-limit setting processes for SME/Micro segment (Python, PostgreSQL)- Salve: I contributed to a software project by extracting and categorizing financial advisor client transaction data from PDF files and developing an algorithm to calculate the client's financial health and provide tailored recommendations for improvement (Python, PostgreSQL) Show less

- Developed algorithms to assess clients’ financial health, including definition and calculation of financial health metrics (e.g. financial reserve)- Participated in developing automated advisory functionality, taking into account clients’ existing product portfolio, income-expense situation and financial health metrics- Implemented complex categorization of card payments in the absence of MCC codes- Executed parsing and normalization of data obtained via open banking and bank… Show more - Developed algorithms to assess clients’ financial health, including definition and calculation of financial health metrics (e.g. financial reserve)- Participated in developing automated advisory functionality, taking into account clients’ existing product portfolio, income-expense situation and financial health metrics- Implemented complex categorization of card payments in the absence of MCC codes- Executed parsing and normalization of data obtained via open banking and bank account statementsUsed tech: Python, PostgreSQL Show less

Data processing and integration from various data sources to conduct analyses and public finance predictions.Used tech: R, Matlab

Bratislava

I developed a logistic regression (scorecard) model to analyze customer data and compute odds for customer features. The model was used to predict customer fraud behavior.