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AI LEARN. AI CREATE. AI IMPRESS


A DATA SCIENCE TEAM WITH EMERGENT PROPERTIES


SERVICES



AI / ML SOLUTIONS

Automation of services and processes as a business advantage. Various AI-tech
approaches - ANNs, Evolutionary algorithms, Self-organization, Bayesian
inference, and Expert systems.

DYNAMIC OPTIMIZATION

Improving process performance and through dynamic optimization solutions. Using
real-time data, the dynamic optimization process can help maximize predictive
control. Helps by improving forecast results, and with AI included, forecasts
can become even more accurate and predictable.

CUSTOMER ANALYTICS

Customer analytics is focused on the examination of a company's customer
information and customer behaviour. It aims to improve the identification of
most profitable clients, as well as provides insights on the possibilities for
attracting and retaining the most profitable customers. By using data-driven
approach to customer analytics organizations can quickly establish successful
customer interactions, and adjust its business practices in a most efficient
way.

BEHAVIORAL PREDICTION

Predictive behavior modeling helps predict the future behavior of customers. By
applying various techniques to historical and transactional data, prediction of
future customer behavior is generated. Predictive behavior modeling goes beyond
customer analytics by allowing companies to make decisions based on expected
future results. Behavioral prediction helps stimulate cross-sell and improves
the customer-brand relationship over time

RECOMMENDER SYSTEMS

Providing personalized recommendations of products or services to users based on
their previous preferences. Implementations through collaborative filtering
methods, content-based methods, knowledge-based methods, ensemble-based methods,
and evaluation.

DATA WAREHOUSE

Enhancing business productivity by efficient and quick data gathering using
cloud scalable solutions. Back-end tools development for ETL and data
aggregation. ML model deployment in production as API.




SUCCESS STORIES





 * PROPENSITY TO BUY
   
   
   PROJECT “NEXT BEST OFFER”, DSK BANK
   
   Computing 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%

 * AUTO INVESTMENT
   
   
   RESEARCH “AUTONOMOUS INVESTMENT PORTFOLIO ON BULGARIAN STOCK EXCHANGE”, UNWE
   
   Analyzing 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
   
   
   CUSTOMER SEGMENTATION MODELLING WITH MACHINE LEARNING, A LOGISTICS COMPANY
   
   Creating 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
   
   
   QUANTUM ALGORITHMS
   
   Exploiting 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 ENGINEERING
   
   
   DATA EXTRACTION SERVICE
   
   Real-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
   
   
   MACHINE LEARNING COMPETITION, NUMERAI
   
   It is a weekly data science competition for predictions, which steer
   Numerai's hedge fund strategy. Success: 348 NMR (~BGN 19.8k) earned

 * TIME SERIES
   
   
   ACADEMIA DATATON
   
   Building 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.

 * TRADING ALGO
   
   
   WORLDQUANT
   
   Worldquant 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



TEAM



MILENKA

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

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

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.

ANGEL

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

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.

VASKO

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

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

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

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"


CONTACT & FOLLOW





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