Michal Rembelski

Michal Rembelski (416)- Summary of capabilities Offer 7 years of expertise in business and data analysis with using advanced analytical tools, as well as problem solving and critical thinking techniques. Implementing complex IT systems and Artificial Intelligence projects by using Agile methodology. Well understanding of data infrastructure, as well as business needs leading to digital transformation strategy. Professional experience Organization: Neal Analytics Aug 2019 – Present Role: Digital Consultant / Data Analyst Digital Transformation – Data, Artificial Intelligence Strategy at Suncor (Toronto): • • • • • • Create digital transformation strategy that contains: personas (Who), business processes (What), solution recommendation – business opportunieties, operating model, technology (How) and roadmap (When) Interviewing key lines of business to define personas, business processes and data related challenges Providing data gap analysis through Oracle database analysis, gathering information for data needs and identifying data source systems Crafting data migration roadmap through defining level of difficulty for data entieties and business priorities Design modernized logical architecture, that includes recommended solutions Assess existing operating models and recommend future operating models Skills: Bulletproof problem solving, Critical thinking, Business Acumen, Presentation, Data Analysis, Advanced Analytics, Data Management, Analytics Architecture, Operating Model, Microsoft Azure, Power BI, Oracle Organization: Independent projects Role: Data Analyst / Data Scientist Aug 2017 – Jul 2019 Data Analysis & Visualisation, Machine Learning projects: • Creating dashboard and recommendation for properties managing company to answer the question, wether the company should pursue moving into the short-term rental market or not, and if so, what should be the strategy • Analysing freeCodeCamp's 2017 New Coder Survey in order to find the best markets to advertise in an e-learning product • Predicting the total number of communal bikes rented in a given hour by using Machine Learning models, such as: Linear Regression, Decision Tree and Random Forest • Predicting whether a borrower will pay off their loan on time or not by using Machine Learning models, such as: Logistic Regression and Random Forest Skills: Complex problem solving, Critical thinking, Business Acumen, Data Analysis, Advanced Analytics, Data Science, Machine Learning, SQL, Python, Data Visualization Organization: Sollers Consulting Aug 2013 – Jul 2017 Role: IT Consultant / Business Analyst Product development in insurance systems (Guidewire) at P&V (Belgium): • Managing a team of 9 people (Product Owner, 2 business analysts, 5 programmers, 1 tester), that worked on developing the core insurance product • Providing Scrum training and mentoring for team members and project Sponsors • Analysing business requirements regarding core insurance products and supporting Product Owner in prioritizing them • Diagnosing the dependences between integrated systems • Defining and improving production process, as 5 teams were merging their code changes on the daily basis Skills: Complex problem solving, Critical thinking, Business Analysis, Systems Analysis, Management, Negotiating, Agile, Scrum, Insurance, Excel Product development in insurance systems (TIA) at Aviva (Poland): • Gathering and analyzing business requirements and preparing story cards for user stories in sprint backlog • Facilitating meetings, including Scrum events (sprint planning, product show, stand-ups) • Managing a team, that worked on developing the core insurance product • Providing support for Product Owner regarding backlog, user stories definition Skills: Critical thinking, Business Analysis, Systems Analysis, Management, Negotiating, Agile, Scrum, Insurance, Excel Design and implementation of IT solution supporting project management office: • Creating and prioritizing requirements together with Product Owner • Designing technical solutions for defined business requirements • Aligning business needs with technical capabilities – flexible business solutions vs. systems’ capabilities • Organizing working sessions to explain and evaluate the software requirements with the team Skills: Complex problem solving, Critical thinking, Business Analysis, Systems Analysis, Management, Negotiating, Agile, Scrum, Incurance, Workshops facilitation, Excel Implementation of core leasing system (Cassiopae) at Millenium Leasing: • Supporting change management by providing training for the end users • Responsible for business analysis of areas related to insurance • Testing functionalities • Creating business documentation for the application Skills: Business Analysis, Systems Analysis, Change Management, Incurance Data model audit and target solution design at EFL Leasing: • Delivering recommendations for improvements and designing target data model through data model gap analysis Skills: Data Analysis, Data model, Data Gap Analysis Organization: Conquest Consulting Mar 2011 – Aug 2011 Role: Business Consultant Market analysis for obtaining EU grants: • Analyzing foreign markets and preparation of business strategy of export products to the new markets for SMBs • Market and competition analysis. • Working in the sales department – preparation of commercial offers, communication with customers Skills: Analysis, Sales & Marketing Education Python for Everybody (2019), University of Michigan • Programming, data structure, access web data, using databases with Python, retrieving, processing and visualizing data with Python Data Analyst and Science path in Dataquest (2018) • Python Programming, Machine Learning, Data Analysis, Data Visualisation "Excel to MySQL: Analytic Techniques for Business" Specialization (2018), Duke University • • • • • Business Metrics for Data-Driven Companies, Mastering Data Analysis in Excel, Data Visualization and Communication with Tableau, Managing Big Data with MySQL, Increasing Real Estate Management Profits: Harnessing Data Analytics M.Sc. in Information Technology (ongoing), Polish-Japanese Academy of Information Technology • Specialization: Engineering software and databases M.Sc. in Finance (2016) University of Warsaw • Faculty of Economic Science, Specialization: Quantitative Finance M.Sc. in Finance (*student exchange in Spain) (2013) University of Murcia • Faculty of Economic Science, Specialization: Quantitative Finance B.Sc. in Economics (2011), University of Warsaw • Faculty of Economic Science, Specialization: Economy of Entrepreneurship Trainings and certifications Data analysis: • Data Analysis with Pandas: Intermediate (LINK) • Storytelling through data visualisation (LINK) • SQL and Databases: Advanced (LINK) Data science: • Python programming: Intermediate (LINK) • Machine Learning in Python: Intermediate (LINK) • Probability and statistics in Python: Intermediate (LINK) • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (LINK) • Data Cleaning (LINK) • GIT and version control (LINK) Project and team management: • Professional Scrum Master I (trained) • Prince2 Foundation (certified) Other: • EBC*L - European Certificate of Business Competence • Guidewire PolicyCenter certification (Insurance core system) Contact info ▪ ▪ ▪ Data Analysis and Data Science portfolio: https://github.com/MichalRem/Data-SciencePortfolio LinkedIn profile: https://www.linkedin.com/in/michal-rembelski/ E-mail:- ▪ Phone: (416)-