Dorna Shakoory Email & Phone Number

Mission Viejo, CA, US

Los Angeles, California, United States

San Diego, California, United States

Develop advanced predictive models using random forest and linear regression to improve credit risk assessment accuracy and lending portfolio performance by 30%, delinquency rates by 10%, and revenue by $20 million.Drive business growth by leveraging data analytics to identify emerging market trends and consumer needs, resulting in targeted marketing.

Los Angeles, California, United States

Directed the Data Analytics and Business Intelligence (BI) team, aligning with organizational goals and catalyzing a 20% rise in client satisfaction through strategic AI and machine learning integration.Led client engagement, closely collaborating with stakeholders to tailor analytics solutions that addressed key challenges, boosting marketing effectiveness.

California, United States

Orchestrated the implementation of a new CRM system, resulting in a 20% increase in efficiency and a 15% reduction in response time to customer inquiries.Led the integration of a third-party payment gateway solution, completing the project two weeks ahead of schedule and saving the company $50,000 in development costs.Implemented Agile practices, leading.

Irvine, California, United States

• Pioneered the establishment and subsequent expansion of Coca-Cola's Data Analytics and Business Intelligence department, orchestrating a paradigm shift in leveraging data for strategic decision-making. For instance.
• Developed and executed comprehensive data strategies tailored to Coca-Cola's unique business landscape, exemplified by the implementation of a real-time data analytics platform that integrated sales data from multiple.
• Fostered seamless collaboration with IT teams at Coca-Cola to integrate disparate data sources, systems, and platforms, facilitating data-driven insights across departments. Notably, led the implementation of a.
• Spearheaded the deployment of advanced analytics solutions at Coca-Cola, including machine learning algorithms for predictive maintenance of bottling equipment. This initiative led to a 25% decrease in downtime and a.
• Established and meticulously monitored key performance indicators (KPIs) at Coca-Cola to assess business performance and drive continuous improvement initiatives. For instance, implemented a balanced scorecard.

Orange County, California Area

• Credit Scoring: Led advanced credit scoring model development, reducing credit losses by 12% at First American. Leveraged predictive analytics techniques to assess credit risk accurately and develop machine.
• Data Integration: Streamlined ETL processes, ensuring data accuracy and efficiency. Integrated diverse data sources using solutions like AWS Glue and Apache Spark, enabling comprehensive analysis of customer behavior.
• Operational Efficiency: Improved operational efficiency by 35% through automated underwriting algorithms and workflow optimization. Identified bottlenecks and implemented automation tools for faster claims processing.
• Risk Assessment: Optimized risk assessment and pricing strategies, reducing claims costs by 24%. Developed machine learning models for fraud detection and claims severity prediction, enabling proactive risk mitigation.
• Reporting and Insights: Translated complex data findings into actionable insights, facilitating data-driven decision-making. Created interactive dashboards using Tableau and Power BI for real-time monitoring of KPIs.
• Training and Development: Conducted training sessions to enhance data literacy and promote a data-driven culture. Provided hands-on training on SQL, Python, and data visualization tools, empowering employees to derive.

Clovis, California, United States

• Market Analysis: Led comprehensive real estate market analyses at Assemi Group, guiding investment decisions and property development strategies. Conducted in-depth research to assess demand for residential properties.
• Predictive Modeling: Developed advanced predictive models to assess property values and market demand, leveraging statistical techniques and machine learning algorithms. Forecasted housing prices based on historical.
• Process Optimization: Implemented data-driven solutions for process optimization and efficiency improvements, collaborating with cross-functional teams. Streamlined budgeting processes and project management workflows.
• Reporting and Visualization: Designed dashboards and reports to provide real-time insights into key performance indicators (KPIs) and portfolio performance. Created interactive visualizations for sales performance.
• Data Quality and Governance: Implemented data quality initiatives to ensure accuracy and reliability of real estate development data. Conducted data profiling and cleansing activities, established data governance.

Orange County, California Area

• Financial Planning and Analysis: Led financial planning and analysis at Farmers Insurance, utilizing SQL for data extraction and Tableau for visualization. Developed SQL queries to analyze claims data and created.
• Financial Modeling: Developed complex financial models to assess risk and profitability, including a predictive pricing model for auto insurance premiums. Analyzed historical claims data and market trends to optimize.
• Risk Management: Collaborated with underwriting and claims processing teams to optimize risk management strategies. Utilized SQL for data querying, Tableau for visualization, and Python for predictive modeling to.
• Performance Reporting: Prepared and presented financial reports to senior management, including monthly performance dashboards for each line of business. Enabled executives to monitor key metrics and make data-driven.
• Regulatory Compliance: Ensured compliance with industry regulations by implementing robust risk management practices. Led the implementation of a risk assessment framework to evaluate and mitigate compliance risks.
• Process Improvement: Implemented process improvement initiatives to enhance operational efficiency, including claims processing automation using RPA technology. Led a cross-functional team to redesign underwriting.

Irvine, CA 92620

• Financial Reporting: Orchestrated the preparation of monthly, quarterly, and annual financial reports at State Farm Insurance, ensuring accuracy and timeliness to offer clear insights into the company's financial.
• Budgeting and Forecasting: Collaborated on the formulation of annual budgets and financial forecasts, aligning them with strategic objectives at State Farm Insurance. These projections guided resource allocation and.
• Variance Analysis: Conducted comprehensive variance analysis at State Farm Insurance, meticulously scrutinizing budgeted versus actual financial performance. By identifying discrepancies, I provided actionable insights.
• Financial Modeling: Developed intricate financial models at State Farm Insurance to evaluate investment opportunities and assess risk across diverse business units. These models played a crucial role in guiding.
• Cost Analysis: Delved into cost structures across departments and business units at State Farm Insurance, conducting thorough analyses to identify avenues for cost reduction and efficiency enhancements. These efforts.
• Ad Hoc Financial Analysis: Provided tailored analyses, contributing to a 30% increase in revenue from strategic initiatives.

Post-Graduate Studies, Data Science/Data Analytics

This fast-paced, dynamic program covered the specialized skills for the booming field of data

Master Of Business Administration (M.B.A.), International Marketing, 3.8

Activities and Societies: Graduated in the top ten percent of the class with a 3.8 GPA

Master Of Business Administration - Mba, International Business Analytics, 3.80