Propensity to buy
Project “Next best offer”, DSK BankComputing individual probabilities to buy a credit product, using statistical methods, to extract maximum sales potential from the data of own customers. Success: Increase of applications for sales by 99.8%
Research “Autonomous Investment Portfolio on Bulgarian Stock Exchange”, UNWEAnalyzing the investment process as a cybernetic system where the portfolio (the controlled system) is given autonomy relying on self-organization. Success: 14-fold increase in risk-adjusted return
Customer Segmentation Modelling with Machine Learning, A Logistics CompanyCreating customer segmentation model using unsupervised machine learning methods to help improve sales and marketing approach to different groups of clients. Success: Increased retention of customers
Quantum AlgorithmsExploiting non-classical properties of the quantum computers to store and process exponentially large amount of information with applications in stochastic modeling. Success: Exponential speedup over classical computing.
Data Extraction ServiceReal-time cryptocurrency exchange raw data extraction service, on top of which offline data warehouse was developed and integrated. Success: Quick, secure and reliable access for data teams to perform analysis, reporting and mining on the data.
Machine Learning Competition, NumerAIIt is a weekly data science competition for predictions, which steer Numerai's hedge fund strategy. Success: 348 NMR (~BGN 19.8k) earned
Academia datatonBuilding a successful prediction model on the cryptocurrency markets for major cryptocurrencies prices in 48 hours. Success: 91.2% average accuracy (adj R-squared) for all cryptocurrencies, 2nd place among finalists.
WorldquantWorldquant challenge is where we have developed alphas - high performance algorithms for stocks trading. There were about 10,000 teams from all over the world, 11 teams were admitted to the second stage. Success: IQC Stage 2 virtual event
Milena is a PhD student in Modeling and Forecasting. She is a financial analyst with 3+ years of experience. Experienced in interpreting and analyzing data to drive growth for a leading financial data provider. She has strong ability to identify, analyze and solve all kinds of problems, passionate about improving things and finding the best solution for everyone.
Alex is a PhD student in Economics. She currently works as a project coordinator in the energy sector. Having experience with different organizational structures and business challenges, she is interested in applying data-driven solutions for resolving such challenges, as well as developing new business models using a data-oriented approach.
Stefi is a forex trader who is actively engaged in trading on the Forex market. Develops strategies for trading with currencies. Develops expert systems for trading with cryptocurrencies.
Prof. Angel Marchev, Jr. considers himself a fusion of thought explorer and a digital native. He is also a coeval and very good friend with the PC since 1980, when he started coding at the age of 4. More recently Angel earned a PhD in computer simulation and modeling for business. He has specialized at European mathematical society, while he is also a certified SME consultant by the Instiituut voor het Midden en Kleinbdrijf.
Pepe is a PhD student in Application of Quantum Computers, writing quantum algorithms with applications in different fields of cybernetics. Along dealing with quantum physics phenomenons like superposition and entanglement, he is developing software for market forecasting and designing technical solutions for various data science projects.
Vasil is PhD student in Modeling and forecasting. Hi is financial expert with 9+ years of experience. He is developing financial models about forecasting and reporting. His interests are related with implementation of data-driven solutions in financial management.
Bogo is a passionate programer with interests in many fields. He has 5+ years of experience as a data collection expert in various marketing research companies. Has experience with neural network algorithms for prediction modelling, image recognition algorithms, text mining, data scraping and process automation
Sergo is a natural problem solver who always seeks for an optimal solution. He is fascinated how different businesses operate, loves finding new insights and is passionate about data science. Together with his solid business background Machine Learning and AI algorithms become a real weapon in his hands for resolving various business data challenges.
Marin is a PhD student in Modeling and Forecasting. CEO at MMQuants. His moto is: "Work smart and trade for a living, not live for trading"