Volha Khomich
|| LION || Machine Learning || AI Implementation || Data Engineering || Data Science || Data Analyst || Master of Science ||
- Role
- Data Scientist, Consultant, Dwh Team at Everest
- Location
- Brooklyn, NY, US
- LinkedIn followers
- 500 followers
About Volha Khomich
Executive Summary- Results-driven Data Scientist with 7 years of experience in Financial Services and Energy industries - Passionate about applying AI-powered solutions to address complex, real-world business challenges - Specialized in designing and deploying business-centric machine learning models and AI implementation projects - Strong communicator and collaborative team player with a proven ability to solve problems in fast-paced, data-driven environments Business Knowledge, Data Analytics Skills & Tools- Domain Knowledge: Financial Services, Insurance, Legal, Financial Reporting & Analysis - Analytical Expertise: Data Science, Business Analytics, AI for Business, Optimization, Text Analytics, KPI Development - Data Management & Modeling: Data Extraction, Preprocessing, Feature Engineering, Machine Learning, Model Optimization, Big Data - Tools & Technologies: SQL, Python, Azure Cloud, Databricks, Tableau, Power BI, Celonis, JMP, Excel, Power Query, Power Pivot - Productivity & Reporting: Google Analytics, PowerPoint, Microsoft Office Suite
Experience
Data Scientist, Consultant, Dwh Team
Sep 2023 — Present
Project: As an integral part of Everest’s Digital Transformation Initiative, Operational Data Warehouse aggregated data from all LOBs and delivered various Data Marts for PowerBI reporting and Machine Learning projectsResponsibilities-Manage solutions to business questions and KPIs through large data processing frameworks-Work closely with business subject matter experts to understand business needs-Conduct comprehensive data analysis, create prototypes, and generate detailed reports for Brokers, Underwriters, Claims Processing, and Due Diligence teams-Provide critical insights and recommendations to Business partners for data-driven decisions-Collaborate with LOB Leaders, POs, and team members to maintain Claims Processing DMs-Work closely with Data Engineers to analyze data requirements and develop reliable flows-Analyze large amounts of business information to discover trends and patterns using SQL-Develop predictive and prescriptive models using machine-learning algorithms and Python-Automated preprocessing of structured and unstructured data using Python-Utilize advanced data analytics tools and techniques to collect, clean, and analyze large datasets, identifyingpatterns, trends, and anomalies-Develop UI applications in PowerBI to deliver data-driven insights on operational efficiency-Maintain code bases to support incremental enhancements to models-Develop and maintain data visualization dashboards and reports in PowerBI, presenting complex information ina visually appealing and easy-to-understand format-Develop forecasting, clustering, classification, econometrics, optimization, neural networks, deep learning,natural language processing, LLMs, generative AI, and/or other machine learning and AI methodologies-Tested migration of the DWH and model suite to Azure Cloud and Databricks-Conduct regular quality assurance checks on data inputs and outputs to ensure data accuracy, consistency, andintegrity
Education
Università di Catania
Master's degree
2017 — 2020
Montclair State University
Master of Science - MSBA
2023 — 2025
SAM Career Center, New York, NY
Data Science Program
2022 — 2022
Belarus State Economy University
Bachelor's degree
2001 — 2005
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