Anna Safonova

Data Specialist at oneFactor
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Contact Information
us****@****om
(386) 825-5501
Location
St Petersburg, St Petersburg City, Russia, RU
Languages
  • English Professional working proficiency
  • Russian Native or bilingual proficiency

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Credentials

  • PySpark Essentials for Data Scientists (Big Data + Python)
    Udemy
    Nov, 2021
    - Oct, 2024
  • Sequence Models by deeplearning.ai on Coursera.
    Coursera Course Certificates
    Apr, 2020
    - Oct, 2024
  • Convolutional Neural Networks by deeplearning.ai
    Coursera Course Certificates
    Mar, 2020
    - Oct, 2024
  • Machine Learning and Data Analysis Specialization by Moscow Institute of Physics and Technology & Yandex on Coursera (6 courses)
    Coursera Course Certificates
    Oct, 2017
    - Oct, 2024
  • AWS Certified Machine Learning – Specialty
    Amazon Web Services (AWS)
    Mar, 2021
    - Oct, 2024

Experience

  • oneFactor
    • Russian Federation
    • Software Development
    • 1 - 100 Employee
    • Data Specialist
      • May 2021 - Present

      Responsibilities: - Processing data from different sectors (ad-hoc reporting on the customer behavioural data of mobile operators, banks, retailers); - Analytical support for company products; - Development of machine learning algorithms for various industries (bank scoring, fraud detection, lead generation etc); - Participation in the processes of data quality control; Technologies: Python, Hadoop, Hive, Pyspark, Impala, Bash, Git, Jira. Achievements: • Various lead generation, scoring, risk models for clients were built; Show less

  • Grid Dynamics
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Data Scientist
      • Apr 2017 - Apr 2021

      Responsibilities: - Explored analysis data stored in various heterogeneous formats (e.g. DXML, DBMS, HDFS, SQL); - Selected features, built and optimized models using ML techniques (Linear regression, XGBoost, LSTM Networks); - Conducted data auditing and monitoring for accuracy, manipulating, processing; - Identified useful sources of information and patterns (external signals – competitors’ sales, informatio from the marketing events, etc.); - Wrote framework for utilizing standard data scientist’s work on cloud platforms (GCP, AWS); - Utilized appropriate pre-built models, developed custom models to make predictions and derive insights from heterogeneous data stores; - Prepared relevant datasets to train and test models; - Automated data analysis and created presentations with results and reports for clients - Participated in meetings with clients, discussing and understanding the client's needs, translated requirements into analysis specification. Technologies: Python, Hadoop, Hive, Pyspark, Bash, Git, Jira, PyTorch, Tensorflow, Keras, GCP, AWS. Achievements: • Models were built based on XGBOOST to predict demand for products; • LSTM network models were built to predict demand for products; • Predictive Model for scaling computing resources based on RNN were built; • An automated reporting system for the customer was created. Show less

  • Interresearch
    • Denmark
    • Market Research
    • 1 - 100 Employee
    • Data Analyst
      • Dec 2014 - Apr 2017

      Project: Creating system of automated reports on sociological surveys to present polls in an automated way. Responsibilities: - Mentored and guided employees ensuring all were trained in knowledge and capable of performing assigned duties; - Supervised a team of 3 research consultants, held team meetings; - Discussed the client's needs, translated requirements into analysis specification; - Used data to identify trends, patterns and opportunities for the clients; - Developed recommendations for the clients on optimization of work, areas to pay attention to; - Automated data analysis and created client’s reports. Technologies: Python, Google Spreadsheets, MS Office tools, Jira, SPSS, QlikView, R. Achievements: • The project of creating an automated reporting system was successfully completed; • Successfully managed, mentored and guided of a team of three research consultants. Show less

  • Saint-Petersburg Medical Information and Analytical Centre
    • Analyst
      • Nov 2011 - Sep 2015

      Project: Collecting of a medical and financial data from medical institutions, creating databases to automate internal processes. Responsibilities: - Conducted analysis of processes, data modeling and design; - Produced databases and software for data collection and processing; - Conducted processing and analysis of data; - Developed and elaborated reports, presentations for client. Technologies: MS SQL, MySQL, C#, SPSS, UML, IDEF methodologies, MS Office Tools. Achievements: • Created a database for storing and using collected information; • Automated reports creation and collection, optimized work processes. Show less

Education

  • Saint Petersburg State University
    Master's degree, Information Business Analytics
    2013 - 2015
  • Saint Petersburg State University
    Diploma degree, Applied Mathematics
    2007 - 2012

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