Marko Intihar Email & Phone Number

Ljubljana, Slovenia

Daily covered tasks:- applying techniques from the fields of machine learning, data mining, data visualization, statistical analysis, business intelligence- data mining with SQL via data warehouse- automate process using R and python scripts- execute advance statistical analysis and build predictive models using R and pythonFinished projets:- Client clustering model (collaboration with Mastercard)- Propensity to buy model for account overdraft (commercial clients)- Propensity to buy model for short term loan (commercial clients)- Model for client churn prediction (commercial clients)- Propensity to buy model for pay later cards and Vita insurance (consumer clients) (collaboration with team from Center of Excellence)- Automate process for bank client target list creation

Build online courses. The main course topic is Tools for Data Science.Published courses:1) R for BeginnersIntroductory course for programming language Rhttps://www.udemy.com/course/r-for-beginners/2) Data visualization with R and ggplot2Learn the grammar of graphics and how to visualize your data with R's ggplot2 libraryhttps://www.udemy.com/course/data-visualization-with-r-and-ggplot2/3) Data science with R: tidyverseMaster R's tidyverse libraries to write efficient R code for data science projects.https://www.udemy.com/course/data-science-with-r-tidyverse/

Author of training related to R programming language:R programmingTraining for students who are complete beginners to R programming language.Training consists of over 10+ hours of video content and takes students on an interesting journey where they dive into the world of R.https://trainings.internshala.com/r-programming-training?utm_source=internshala-menu-dropdown

Ljubljana

Daily covered tasks:- applying techniques from the fields of machine learning, data mining, data visualization, statistical analysis, business intelligence- automate reporting using R scripts (migration from spreadsheets to R)- execute statistical analysis and build predictive models using RFinished projets:- Optimization of Cash In Transit (CIT) network [statistics & data mining & operations research]- Bank officers fraud detection [statistics & data mining & machine learning]

Ljubljana, Slovenia

Quantitative Finance and Actuarial SciencesGraduate program (master program)Subject( Asset Pricing Theory )Course: R for Finance

Ljubljana

Quantitative Finance and Actuarial SciencesGraduate program (master program) Subject( Asset Pricing Theory )Course: R and python for FinanceCovered 7 chapters:1) Introduction to R2) Data wrangling and data import/export in R3) Data visualization with R4) Introduction to Quandl & python5) Working with time series6) Case study: Portfolio optimization using R7) Case study: Stock price modeling using python

Slovenia, Ljubljana

The following tasks are performed on the daily basis:- conducting Statistical analysis of retail performance for Company Management Board;- using different data mining and data visualization techniques;- using cluster analysis and other machine learning techniques;- preparing different stock related reports on a weekly or monthly basis (e.g. out-of-stock report, inventory level and sales report, etc.);- predicting daily sales in order to reduce overstocking and out-of-stock occurrences;- predicting discounted sales quantities;- etc. Finished projects:- Store and SKU clustering based on past sales [machine learning]- Model for estimating optimal weekly deliveries from warehouses [statistics & data mining & operations research]- Model for predicting future store sales after store is reopened [statistics & data mining & machine learning]

Ljubljana

Quantitative Finance and Actuarial SciencesGraduate program (master program) Subject( Asset Pricing Theory )Course: Introduction to statistical computing language R for Quantitative FinanceCovered four chapters in R:1) Introduction to R2) Data wrangling and data import/export in R3) Data visualization with R4) Case study: Portfolio optimization using R

Slovenia

Work covered academic research, teaching undergraduate students and working on projects from industry.As a teaching assistant I have contributed on given fields/subjects:- Operations research;- Statistics;- Geographic information systems; As an academic researcher my main research focus was on:- modelling behaviour of port choice;- predictive analytics and development of procedures for model selection and forecasting dynamics of port's throughput;

Ljubljana

Working with Department for Systems and Control E2 (IJS)Research fields:- Non-linear identification- Bayesian statistics- Kalman filters- etc.

Edinburgh, United Kingdom

Work experience cover tasks performed in Transport Research Institute (TRI). Work related to freight data analysis and research, focusing on the areas on logistics networks, trade and inland terminals.

Slovenia, Celje

Acquiring new knowledge and solving problems in logistics businesses in the real world cases.Main goals: optimization of production planning, material management, warehousing, transporting, etc.

Doctor Of Philosophy - Phd

Thesis: Estimating parameters of dynamic systems with Bayesian methods for port's throughput forecasting

Master'S Degree, Applied Statistics

Activities and Societies: Module: Biostatistics & Machine learning

Master'S Degree, System Logistics

Master thesis: Path planning in the process of acquisition of biological samples in the General hospital Celje

Bachelor'S Degree, System Logistics

Activities and Societies:Diploma thesis: Using different optimization techniques for solving practical nonlinear problems

Secondary School, General Education

Matura (Physics & Chemistry)