Data Analyst Engineer

BULAT GILMUTDINOV

Boston, MA (857-***-**-**

LinkedIn: linkedin.com/in/bulatgilmutdinov ************@**.*******.*** EDUCATION

Suffolk University - Boston, MA JAN 2018 – DEC 2019 MS Business Analytics, Finance Concentration GPA: 3.9 Courses: Data Analytics, Data Mining, Data Management and Modelling, Data Science, Predictive Analytics, Corporate Finance, Econometrics, Accounting, Financial Reporting and Management Accomplishments: SAS certificate in Business Analytics, International Mentor Training Program Certification – Certified Tutor, Level – 1

MIPT - Moscow Institute of Physics and Technology - Moscow, Russia SEPT 2014 – JUL 2018 BA Applied Mathematics and Physics GPA: 3.7

Courses: Probability Theory, Statistics, Numerical Analysis, Stochastic Differential Equations, Optimization Methods, Functional Analysis

PROFESSIONAL EXPERIENCE

Suffolk University - Boston, USA JAN 2019 – JAN 2020 Academic tutor in Data Analytics and Data Management

• Teach Statistics, Python, Advanced Excel and SQL to Graduate students

• Prepare materials (Data Mining and Data Management) and lead group tutoring sessions for students

• Support students with their IT-projects

Skolkovo Institute of Science and Technology - Moscow, Russia JUL 2017 – SEPT 2018 Data Engineer

• Built regression and optimization models to find the values of the input parameters of the injection of epoxy resin into the installation mold of composite parts

• Acted as a Product Owner in Scrum-team with 2-weeks sprints for Laboratory Software development to build an experimental set up which measure and control process of impregnating the epoxy resin into fiber glass mold

• Processed data from high-frequency cameras using Python (Sklearn) for numerical solution of theoretical equations

• Conducted research in Micromechanical laboratory to develop new properties of Composite Materials IEF RAS (The Institute of Economic Forecasting of the Russian Academy of Sciences) JUN 2016 – JUL 2018 Data Analyst

• Design, build, maintain, and optimize data visualizations and other self-service tools to provide actionable insights that enhance business decision making

• Researched Russian Milk Industry using Mathematical Methods such as regressions and statistics

• Collected data from the national platform, analyzed and clean big data to acquire information on how to support the milk industry in the various region of Russia

• Migrated data from different types of files into one common MS SQL-database

• Provided first rate analytical, KPIs visibility, drivers support via SQL, reporting and data visualization tools

• Developed dashboards and pipelines to allow for quick and accurate data access and reporting across different economic sectors which affect agriculture

TECHNICAL SKILLS

SQL,Teradata, Python(Pandas, Numpy, Sklearn, ETL, Modelling, Training and Testing, Jupyter Notebook, API), SAS(Enterprise Guide, Minor), Excel(VBA & Macros), Tableau, Power BI, Looker, Amplitude, SAP HANA, Jira, Confluence, LaTex, MS Office( Word, PowerPoint, Outlook), SPSS,Spark, Hadoop PROJECT EXPERIENCE

• Business Case for “Boston Red Sox” - Data Science project to reveal the reason for the loss of profits from the sale of tickets, food and souvenirs at “Fenway Park” Stadium (2019)

• Thesis - “Driving Economic Health in Economic and Political Unions” - built a model of the dependence of countries' GDP on world GDP. Definition of a driver country in unions such as G7 and OPEC (2019)

• "Building Risk Prediction Models for Type-2 Diabetes Using Machine Learning Techniques " – Time-series Healthcare dataset – used Random forest, Regression to predict the Diabetes based on patient analyzes (2019)

• Building a Data Warehouse for a Network of car repair shops (2018)

• “Ford Motor Company” stock prediction and analysis - built 10 different Predictive Models (2018)

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