1997
Olympia Computer School
Olympia Computer School
About
Olympia.DataCore
About Us
Who We Are
Olympia.DataCore provides data-driven solutions and services enabling our clients to monetize their data in the emerging Data economy world. We do this by thoughtfully applying the paradigms of Data Science, Artificial Intelligence, Machine Learning, and Industry 4.0. More than 20 years of experience in combining science and business knowledge in both education and real-world systems validate our mission and give us the strength to follow our vision. The competencies of our team stem from the alliance of academic knowledge, critical rigor, and scientific research methods coupled with practical insights attained from working with real-world systems. In development and deployment of our solutions we utilize: PostgreSQL, SQLite, MariaDB, Redis, R, Python, .NET, Arduino, Angular.
To succinctly describe some of our competencies the following keywords are significant:
Data acquisition, Data preparation and visualization, Exploratory data analysis (EDA), Statistical hypothesis testing, Statistical learning and inference, the Internet of Things paradigm (IoT), Arduino and Raspbengineeringerry Pi programming; Correlation analysis, feature and target, Chi-Square test based feature selection, Shapley Values, Perturbation feature ranking.
Supervised predictive modeling for Regression and Classification (MLR, Logistic Regression, Regularization, LASSO, Robust Regression, Artificial Neural networks (ANN), Boosting, Bagging, Ensemble learning) ; Time series analysis and decomposition, Fourier analysis, Dynamic Harmonic regression, ARIMA, Generalized additive models, Outliers and Missing values detection and Imputation.
Numerical and metaheuristic optimization algorithms (Linear programming, Second-order cone programming, Particle swarm optimization, Genetic Algorithms, Ant Colony Optimization, Firefly optimization, Simulated Annealing).
Unsupervised learning (Gaussian mixture models, t-SNE, PCA, UMAP, K-means, DBSCAN, hierarchical clustering, self-organizing ANN maps, Neural Autoencoders), A/B Testing, Beta distribution, Multi-armed bandit problems (UCB1 Algorithm, Thompson sampling), Recommender Systems (Collaborative and Content Based filtering, Information Theory, NLP), Cross Validation strategy, etc.
Our History
2010
Olympia Machine Learning
Olympia Machine Learning
2015
Olympia Data Science
Olympia Data Science
2020
Olympia Data.Core
Olympia Data.Core
Communications
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Thinking
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Personal Split
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Problem Solving
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Teamwork
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- Data preparing. Visualization. Wrangling.
- Outlier detection. Missing values.
- Correlation analysis. Dimension reduction. SVD. PCA…
- Statistic thinking and inference.
- Supervised Machine Learning: Predictive modeling (MLR, Logistic regression, ANN, … ). Classification.
- Unsupervised Machine Learning: Clustering (k-Means, PAM, CLARA…).
- Optimization Algorithms (GA, PSO, ACO, SA, …)
- Times Series Analysis
- Recommender Systems
Data Science, Machine learning, Artificial intelligence, and IoT are built on principles of Science, Technology, Engineering and Mathematics.
Our STEM solutions are designed to consolidate, codify, and augment existing data and knowledge in business system, and incorporate it into powerful science and math based intelligent business modules. These modules provide a versatile platform for engineering and business process optimization, enhance productivity, and facilitate timely decision making.
Data is being rapidly generated in modern business environments, often from multiple unstructured sources and stored using different technologies.
Geared toward helping businesses derive value from their accumulated data, we provide solutions and services crucial in the age of the Data economy — data import and transformation, visualization, predictive and descriptive modeling, and effective result communication.
- Client Clustering, Classification, RFM;
- Prediction and budgeting;
- Modeling client and supplier behavior;
- Time series analysis of busines processes (trends, seasonality, forecasting, outliers);
- Real-time Dashboard visualization;
- Collaborative and Content Based Recommender systems;
- Personalized campaigns;
- Supply and warehouse routing optimization;
- Churn detection, analysis, and prevention;
- Anomaly detection;
- HRM predictive analytics;
- Distribution and logistics optimization (Combinatorial optimization / TSP);
- Supply Chain optimization;
- Retail and pricing optimization, MBA, ARM;
- Business system performance measurement (Data Envelopment Analysis).
In the last 20 years, the use of analytic techniques in marketing has greatlyincreased. In April 2013, Forbes magazine reported a 67-percent growth in marketing-related analytics hires during the previous year and an amazing 136-percentgrowth during the previous 3 years. Wayne Winston
- Summarize Marketing Data
- Pricing (Price Bundling, Nonlinear Pricing, Price Skimming and Sales …)
- Forecasting (LR, MLR, Presence of Special Events, Trend and Seasonality, Winter’s Method, ANN in Forecast Sale … )
- Customer Value (Lifetime Customer Value, Monte Carlo Simulation, Marketing Decision Making, Allocation Marketing Resources … )
- Marketing Segmentation (Cluster Analysis, Collaborative Filtering, Classification tree for Segmentation…)
- Forecasting New Product Sales
- Retailing (Market Basket Analysis and Lift, RFM Analysis, … )
- Advertising (Measurement the Effectiveness of Advertising, Media selection model …)
- Marketing Research Tools (PCA, Multidimensional Scaling, Naïve Bayes Classifier and Discriminant Analysis, One-way ANOVA, Two-way ANOVA …)
We help our clients realize what is possible using their data, unleash their imagination, and incubate a plan to turn ideas into a business advantage. When they realize what is possible, we help them develop, implement and test the best strategies to harness the transformative power of data science in order to obtain quantifiable economic benefits.
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Professional Team
Olympia.DataCore provides data-driven solutions and services enabling our clients to monetize their data in the emerging Data economy world. We do this by thoughtfully applying the paradigms of Data Science, Artificial Intelligence, Machine Learning, and Industry 4.0.
Contact
- Nikole Pasica 38 B/I Uzice, Serbia
- mmilivojevic031@gmail.com
- +381-65-8-710-448
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