Resume

Vuckovic Milos, M.Sc. – Data Scientist

Contact information: Address: Potok 14/16, Belgrade 11000, Serbia

Cell phone +381******** ● email acznjy@r.postjobfree.com

Summary

- Certified data scientist, data engineer, BI expert, ERP consultant and permanent learner

- Cross-analysis of in-house data and implementation of diverse machine learning solutions

- Skilled in solving many regression and classification structured problems, geospatial and telecom data

- Experience in solving: Time series (4 projects), Survival analysis (1 project), Recommender Systems (2 proj.)

- Focus on: feature engineering, iterative learning, boosting, PCA and SVD, algorithm tuning, and optimization

- Fields of interest: ensemble learning, deep learning, econometrics, linear programming, operational research

- Experience by field in years: Machine learning (4 years), BI architecture (5 years), ERP consultancy (5 years)

Education and certifications

- Master’s degree in Computer Science, University of Belgrade, Serbia, Major: BI & Data Science (R, RapidMiner)

- Graduate Economist, Business Economy, University of Nis, Serbia, Major: Business Economy & Investments

- Machine Learning, Stanford University, Coursera

- Data Exploration Course, Johns Hopkins University, Coursera

- The Data Scientist’s Toolkit, Johns Hopkins University, Coursera

- Programming with Python for Data Science, edX Microsoft

- Big Data Fundamentals, IBM

- Complete Course on Scrum (SBOK - Scrum Body of Knowledge), Udemy

- SAP S/4 Hana, ERP Systems, SAP Academy

- Oracle Business Intelligence Enterprise Edition 11g, Udemy

Skills

- My academic and professional experience is achieved through following positions:

Data Scientist ● Data engineer ● Data Warehouse Architect ● Project manager ● Business manager ● BI Lead ● Operations coordinator ● Business and Financial Analyst ● ERP consultant ● Logistics Foreign trade manager

- Depth of knowledge in analysis, research methodologies and business acumen manifested by skills as follows:

Data Science ● Applied statistics ● Data Mining ● Exploratory Data Analysis ● Predictive modeling ● Statistical inference ● Experimental design ● Visualization ● Machine Learning ● ERP Consulting ● Business Intelligence ● Relational Databases ● Data modeling ● OLAP ● Data Architecture ● Data Warehousing ● ETL ● Actionable intelligence ● Product management ● Project management ● Supply Chain Management ● Logistics ● Foreign Trade ● Econometrics ● Decision Support Systems

- Programming languages, platforms and frameworks include:

R ● Python ● Rapid Miner ● Tableau ● SQL ● T-SQL ● PL/SQL ● VBA ● Access ● C# ● SQL Server ● Microsoft Visio ● ER Studio ● Power Designer ● Oracle 11g ● Pentaho ● SAP Distribution module ● Microsoft Dynamics Nav & CRM ● Advanced MS Excel ● MS Access ● GitHub ● Matlab / Octave ● Hadoop (basics) ● Spark (basics)

- Statistical methods, machine learning models and algorithms frequently used:

● R: Time series (R packages: plyr, forecast, reshape; algorithms: ets, stl, ARIMA, SVD, seasonal naïve) ● clustering (R packages: kmeans, cluster, rattle, NBClust; algorithms k-Means, PAM) ● association rules (R packages: arules, arulesViz); classification/regression (R packages: XGBoost, randomForest, e1071 for SVM); packages boot, bootstrap for cross-validation, robust for glm, psych for PCA; ROCR for logistic regression ● package ggplot2 for visualization

● Python - used through iPython notebook; Jupyter; Spider ● libraries used in Python: pandas, numpy, matplotlib, sklearn.cluster for KMeans, sklearn for preprocessing, math ●

Work experience

Enetel Solutions Belgrade Senior Data Scientist 2017-01 – Present time

Project 1: creating recommender system for e-commerce platform in R, resolving data imbalance using matrix factorization, SVD and oblivious trees. Preparing Hadoop environment for use of data in Spark.

Project 2: Handling, wrangling and visualizing telecom geospatial and financial data. Creating RDBMS in Oracle from flat tables using Pentaho DI, creating dimensional data store, data marts for technical and commercial analysis, data preparation for visualization and machine learning projects.

Anig DOO Belgrade Data Scientist 2015-04 to 2017-01

Project: forecasting international mercantile stock exchange figures

Implementation: Time series in R, visualization in Tableau to communicate the actionable insights

Kimtec DOO Belgrade Project manager 2014-03 to 2015-04

Project: Classification of customers using direct and indirect business performance parameters and machine learning algorithms (k-Means, customer stratification)

Data fusion of two separate information systems through ETL to design a data warehouse and OLAP

Mladost DOO Vlasotince Activities Coordinator 2012-07 to 2013-11

conversion of three disparate legacy databases (dBase2) with Oracle Data Integrator for ETL; modeling DW solution, creating fact and dimension tables; ODI for creating data warehouse; OBIEE for reporting.

DCA Brands DOO Belgrade General Manager 2011-01 to 2012-07

Business development of mobile ERP solutions and mobile consumer electronics

Craft DOO Nis SAP ERP Consultant 2010-11 to 2011-05

Consulting in automation industry

Preparing transition to SAP ERP system (sales / distribution module)

Pakom Distribution System DOO Nis IT Coordinator 2003-12 to 2010-11

Project 1: to find the optimal product mix in IT retail. Implementation of association rules in Excel and R (market basket analysis), using apriori algorithm, package arulesViz to visualize the results.

Project 2: Assistance and ERP consulting in the implementation of MS Dynamics NAV in IT distribution.

Project 3: modeling data warehouse from scratch; creating DW tables using T-SQL; performing ETL using MS SSIS on company ERP transactional data; creating a complete reporting solution using MS SSAS through previous business experience based on product and portfolio management, performance reporting and financial analysis, resulting in OLAP cube.

Foreign languages

English (B2-C1, IELTS, British Council)

French (B2, Institut français)

German (B2)

Italian (B1)

Humanitarian work, interests, publications and projects

ICS, Italian Consortium of Solidarity (1996 – 1997), humanitarian workshops

Volunteer work: Assisting and helping people during big flood in Serbia in spring of 2014

Hobbies: tennis, skiing, basketball, sky diving, guitar playing, movies, music;

Broad fields of interest: Big Data (Apache Spark), Industry 4.0, Financial Management, Signal Processing

Machine learning projects and publications link: www.github.com/mvuckovic70

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