Ekaterina Titova

About Ekaterina Titova

Ekaterina Titova is a Senior Consultant at Deloitte in the United States with a strong background in ML/AI and Data Analytics. She holds a Master of Science degree in Data Analytics and is proficient in various tools such as Python, R, SAS, and SQL. In her current role at Deloitte, Ekaterina provides technical guidance in data migration, data validation, and user acceptance testing. She has also worked on integrating containerized algorithms and legacy software components into pipeline architecture and deploying containerized data science environments. Additionally, she has been involved in evaluating market manipulation surveillance models and advising on deep learning model retraining and recalibration.Prior to her role at Deloitte, Ekaterina worked as a Lead in Data Analytics at Ally, where she optimized the transaction monitoring process and reviewed suspicious activity reports. She also contributed to onboarding machine learning models for AML/Financial Fraud. Earlier in her career, as a Data Scientist at Annexus Group, she built models to monitor the performance of structured products and developed valuation methodologies using market data from various sources.Ekaterina also has experience working at USAA, where she served as a Modeling Analyst and Risk Analyst. In these roles, she provided quantitative support for predictive models, conducted statistical analysis, and developed reports in compliance with regulations. She leveraged her expertise in SAS, R, and Python for data processing and query building.She started her career as a Summer Data Analyst at Google, where she contributed to AI software development and database maintenance.Ekaterina holds a Bachelor\'s degree from Columbia University and a Master of Science in Data Analytics from The University of Texas at San Antonio. She is passionate about staying updated on the latest developments in AI/ML and is an advocate for inclusion and diversity initiatives in the workplace. She values working in a fast-paced and intellectually stimulating environment, where she can collaborate with diverse teams and contribute to organizational growth and success.

Experience

1. Senior Consultant

   Deloitte

   Feb 2022 — Present

   Provided highly technical and specialized guidance in data migration, data validation and user acceptance testing• Applied extensive experience analyzing data using SQL based tools and platforms (Oracle, Postgres, SQLMI, Azure Data Studio) while employing best practices in all design and development activities within multiple environments• Developed a roadmap for integration of containerized algorithms and legacy software components into an overall pipeline architecture• Deployed containerized data science environments preconfigured with Kubernetes and Apache Airflow to enable parallel computing at various stages of ETL process• Provided technical evaluation of market manipulation surveillance models• Conducted assessment and advised on best practices for deep learning model retraining and recalibrating• Advised on developing internal resources and guidance on highly technical and specialized aspects of data validation• Supported development and implementation of data quality monitoring strategies and policies

Education

• Columbia University in the City of New York

  Bachelor's degree

• The University of Texas at San Antonio

  Master of Science - MS

Skills

• Research
• Microsoft Excel
• Data Analysis
• Financial Risk
• Market Risk
• Financial Analysis
• Stress Testing
• Risk Management
• Powerpoint
• Qualitative Research
• Microsoft Office
• Public Speaking
• Analysis
• Finance
• International Relations
• Microsoft Word
• Statistics
• Leadership
• French
• R
• Sas Programming
• Forecasting
• Sas
• Python