Anna Belova Email & Phone Number

Sweden

Sweden

Stockholm, Stockholm County, Sweden

Responsibilities:• Data analysis and exploration using statistical and algebraic techniques to turn gathered data into business insights.• Designing and building predictive analytics models, and finding suitable KPIs for these models.• Identifying and interpreting trends in complex datasets to enable data-driven business decisions.• Collaborating with business and other engineering roles.• Mentoring more junior DS. • Involved in DS recruitment.Selected… Show more Responsibilities:• Data analysis and exploration using statistical and algebraic techniques to turn gathered data into business insights.• Designing and building predictive analytics models, and finding suitable KPIs for these models.• Identifying and interpreting trends in complex datasets to enable data-driven business decisions.• Collaborating with business and other engineering roles.• Mentoring more junior DS. • Involved in DS recruitment.Selected achievements:• Maintenance and technical improvements to the demand forecast engine used for pre-season assortment quantification to support Supply Chain in in-store and online channels.• Increased accuracy and trust in pre-season demand forecast by implementing hyperparameters optimisation.• Developed a framework for more rigorous statistical tests for measuring changes in the models.• Reduced the complexity of the system by developing a weekly demand forecast model for the in-store channel.• Reduced the complexity of the system and enhanced scalability by developing a base estimator wrapper for the models and applying the best practices, that enabled the model's serving via MLFLow and facilitated explorations of uncertainties and model improvements.• Developed a framework for experiments with a geographical granularity of the models for the online channel, enhancing further improvements of the product.Tools: Data Science, Statistics, Machine Learning, Python, Apache Spark, SQL, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Databricks, Git, Azure DevOps, Agile Show less

Stockholm, Sweden

My main responsibilities include:• Data analysis and exploration using statistical and algebraic techniques to interpret key points from gathered data.• Building predictive analytics models.• Finding suitable KPI for these models.• Interaction and collaboration with stakeholders.• Identifying and gathering analytical requirements for projects needs, presentation of projects outcomes. • Developing and delivering data science education program: teaching, educational DS… Show more My main responsibilities include:• Data analysis and exploration using statistical and algebraic techniques to interpret key points from gathered data.• Building predictive analytics models.• Finding suitable KPI for these models.• Interaction and collaboration with stakeholders.• Identifying and gathering analytical requirements for projects needs, presentation of projects outcomes. • Developing and delivering data science education program: teaching, educational DS projects support and course content preparation.• Outsourced to SEB to the analytics team, participated in several projects, including fraud detection, as a consultant.• Involved in DS recruitment.Selected DS projects:• (Electrolux) Explored the possibility of using available data to develop a predictive maintenance solution and applied supervised learning to predict failures in the equipment. • (Stora Enso) Built an LSTM market price forecast model for a certain type of products to be used by the sales team (in production).• (Sigma) Built an anomaly detection solution (RPCA) based on sensor data for the system of industrial fans (in production).• (Manufacturing area) Based on the manufacturing data explored the possibility of optimisation of the production process so that production time gets shorter. Delivered recommendation for the further exploration by domain experts.• (Ericsson and Scania) Increased company revenue and exposure by co-developing and delivering data science educational programs to member companies.• Co-supervised a master student within Combient Competence Center's program joint with Department of Mathematics, Uppsala University, on the project entitled "Anomaly Detection in Seasonal ARIMA Models", Spring 2019.Tools: Statistics, Machine Learning, Python, Apache Spark, SQL, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Jupyter, AWS, Databricks, Git Show less

Stockholm, Stockholm County, Sweden

Outsourced from Combient MiX to Supply Chain.

Uppsala, Sweden

Department of MathematicsPerforming research on rigorous computations and optimisation.

Stockholm, Sweden

Outsourced from Combient MiX to SEB Analytics

Uppsala, Sweden

PhD in mathematics, degree awarded 15/12/2017,thesis is entitled ”Computational dynamics - real and complex”supervisors Warwick Tucker, Denis Gaidashev• 80% research, including writing papers in collaboration with scientists from other universities,developing computational methods, programming, attending conferences and scientific schools.• 20% teaching, including teaching bachelor level courses as a teacher assistant (e.g.TransformMethods, Calculus) and a master… Show more PhD in mathematics, degree awarded 15/12/2017,thesis is entitled ”Computational dynamics - real and complex”supervisors Warwick Tucker, Denis Gaidashev• 80% research, including writing papers in collaboration with scientists from other universities,developing computational methods, programming, attending conferences and scientific schools.• 20% teaching, including teaching bachelor level courses as a teacher assistant (e.g.TransformMethods, Calculus) and a master level course as the responsible lecturer (Mathematical Biol-ogy). Show less

Moscow, Russian Federation

Expert at Department of Business Architecture• Conducted research and investigations into internal processes.• Compiled research data and gave professional presentations highlighting finds and recommended optimizations and standardizations.

Moscow, Russian Federation

Internship in Customer Training Department.• Enhanced collaboration between team members by preparing learning materials and taking clear notes to distribute to stakeholders.• Conducted data analysis on product migration process to assist with training and sales development.• Assisted customers attending web-seminars.

Doctor Of Philosophy - Phd, Mathematics

My PhD thesis is entitled "Computational dynamics - real and complex" and has been written under supervision of Professor Warwick Tucker.

Master'S Degree, Financial Mathematics

Thesis entitled "Meshfree methods in option pricing"

Master'S Degree, Applied Mathematics And Computer Science

Graduated Summa Cum Laude