Ivan Petrov Email & Phone Number

London, England, United Kingdom

Tools:- Python, Git, Spark, AWS, Azure, Gurobi, PytorchWorked in R&D group which was researching application of fine-tuning large language models for client specific tasks:o Trained NLP models on GPUs on cloud (GCP Vertex AI, AWS Sagemaker).Created digital marketing personalization engine for large retailer:o Customized first level ALS matrix factorization.

Almaty, Kazakhstan

Moscow, Russian Federation

Moscow, Russian Federation

• Company website: https://sberbank.ruCompany products: banking investment products, pension plans, insurancesSoftware Development:- Python- SQL TeradataData Science:Creating next product to buy models for wealth.
• Predicting future users of individual investment accounts
• Predicting buyers of home insurance
• Clustering clients based on their attitude to usage of individual pension plans

Moscow, Russian Federation

• Company website: https://1f.ai/Company products: banking scoring, retail location scoring, marketing modelling Software Development:- R, Python- Git- Hadoop, HDFS- Spark, Impala, Hive- PostgreSQL, Hbase, Teradata.
• Programmatic Digital Outdoor Billboards proof of concept: optimization spot scheduling to gain reach/affinity optimized plan;
• Modelling store visits and building predictive model that proposes new store locations based on users tracks and mobile activity;
• Clustering users tracks: intercity users travels into trains, planes, cars and etc.;
• Optimizing and modifying outdoor placement plan for generating additional traffic to the retailer stores;
• Classifying locations: searching for unload sites and cargo warehouses for trucks

Moscow, Russian Federation

• Data analysis and research methodologies development in the Quantitative Marketing field; leading software and tools development; lead group of four people (2 analytics, 1 db admin, 1 C# programmer); analyze, read and.
• Statistical experience – network visualization; cluster analysis using k-means, Bayesian classifier, EM classifier; Principal Component, Multidimensional scaling, correlation analysis
• Econometric/Machine Learning models – marketing-mix models, calculating ROI, optimizing media budget. Multidimensional time series models, panel models, ordered and binominal regressions, PLS-SEM modelling, Attraction.

Moscow

Worked with pension methodologies and actuary calculations:- Actuary calculations – pension estimation, editing Pension rules- Consulting programmers on actuary calculations in Caruso software- SQL+ queries in Oracle db – optimizing process of data collection for daily reports

Moscow

• Programming reports in Diasoft db, supported managers in getting reports on bank branches performance:
• Developed reports to control limits/incomes in branch offices
• Developed report for synchronizing Diasoft data with cards owners db

Master'S Degree, Finance And Financial Management Services

Master'S Degree, Mathematical Statistics And Probability

Studied probabilistic theory