Файл CV
DD
ML engineer, Data Analyst

Gender Женщина

address Кишинев

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PROFESSIONAL EXPERIENCE

Math Tutor | Freelance Sep 21 - now

  • Prepared students of different ages (from primary to university level) for olympiads and entrance exams.
  • Demonstrated strong psychological insight and adaptability to various learning levels and goals.

Main consultant in macroeconomics | National Bureau of Statistics Feb 24 - Jan 25

  • Worked in National Accounts, calculating GDP for two sectors: Rest of the World and Non-Observed Economy.
  • Led the technical part of the workflow and trained the team in analytical tools and optimisation techniques.
  • Collaborated with an international expert to improve the accuracy of calculations.
  • Data were analyzed both locally and internationally according to standards of the European Commission and Eurostat. Participated in international workshops, lectures, and conferences on statistical methodology.

TECHNICAL SKILLS

  • Programming: C, C++, R, Python, SQL
  • Design: Figma, Krita, Photoshop
  • Framework/Libraries: TensorFlow, PyTorch, Scikit-learn, NumPy, Panda, Matplotlib
  • Data Analysis and Visualization Tools: Excel/MSAcces/MSOffice/MSWord, PowerBI, Jupyter Notebook
  • VCS: Git
  • Big Data and Distributed Computing: Hadoop, Apache Spark

KEY COURSES UNDERTAKEN

Mathematics and Statistics

  • Calculus, Probability and Random Processes, Basics of Statistics, Statistics for ML, Graph Theory, Linear Algebra and Algebra Structures, Fundamentals of Programming, Mathematical Software, OOP, Optimization Methods, Mathematical Modeling, Parallel programming.

Self-learning

  • Machine Learning on R, Scaling Machine Learning on Spark, SQL for Data Science, ThoughtSpot-Based BI Analytics, TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners.

LANGUAGES

  • Russian: Mother tongue.
  • English: Reading/Listening - C1, Writing - B2+, Speaking - B2 (if comfortable enough)
  • Romanian: Reading/Listening/Speaking/Writing - B2+

INTERESTS

  • Data Ethics, Cognitive Science, Philosophy (especially post-structuralism/existentialism), Ornithology, Linguistics and Literature (Russian, English), Art, History of Europe, and Eastern, chess! Complex mathematical problems applied to real-life scenarios. Currently working on a project that is part of a degree: developing a game for children that applies game theory to cybersecurity issues (+using ML algorithms). Two projects done: credit default prediction (ML model), neural network for solving differential equations.

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