Christina Ziah

Responsibilities:

• Converted, cleaned, analyzed, organized, and documented large data files (10,000 - 2 million records).
• Performs data Visualizations, data extract from different databases to create complex reports and present it to clients.
• Use ETL tools for data integration, use raw data, extract the information required for analysis, coordinate with ETL teams for data transformation and format data to serve business needs, and load it to a data warehouse.
• Design, built and deployed a set of python modeling APIs for customer analytics, which integrate multiple machine learning techniques for various user behavior prediction.
• Use personalization to rapidly integrate, transform, discover, and operationalize datasets to meet business needs.
• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
• Optimized company resources allocation with detailed forecasting models based on historical data analysis.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.
• Presented findings to executive leadership teams through concise presentations, influencing future strategy development.
• Produced monthly reports using advanced Excel spreadsheet functions.
• Conducted thorough competitor analyses, identifying gaps in market share and opportunities for growth.
• Lead the team of data scientists specializing in a range of statistical, natural language processing-NLP, and machine learning techniques
• Created complex visualizations using tableau for business requirements.
• Design and implement end-to-end systems for Data Analytics and Automation, integrating custom visualization tools using R, Tableau,Power BI.
• Query data from Business Intelligence and database to create standardized reports.
• Write and execute complex SQL queries to fetch data from different databases according to the business requirements.
• Successfully interpreted data in order to draw conclusions for managerial action and strategy.
• Used statistical techniques for hypothesis testing to validate data and interpretations.
• Conducted research using focus groups and increased efficiency by 11% due to the findings.
• Designed custom tracking systems to monitor KPIs, ensuring alignment with organizational goals and objectives.
• Maintained up-to-date knowledge of industry trends and advancements in data analytics, enhancing the adaptability of solutions provided.
• Extracted and interpreted data patterns to translate findings into actionable outcomes.
• Created data models to support decision-making processes.
• Provided actionable insights through comprehensive reports and dashboards, supporting strategic initiatives.

Responsibilities:

• Designed custom tracking systems to monitor KPIs, ensuring alignment with organizational goals and objectives.
• Evaluated the effectiveness of marketing campaigns using A/B testing methodologies, optimizing strategies for higher ROI.
• Maintained up-to-date knowledge of industry trends and advancements in data analytics, enhancing the adaptability of solutions provided.
• Extracted and interpreted data patterns to translate findings into actionable outcomes.
• Created data models to support decision-making processes.
• Provided actionable insights through comprehensive reports and dashboards, supporting strategic initiatives.
• Implemented business intelligence solutions to increase operational efficiency.
• Developed and implemented data governance policies and procedures.
• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
• Created dashboards to monitor and track key performance indicators.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.
• Provided technical support for troubleshooting analytics and reporting issues.
• Produced monthly reports using advanced Excel spreadsheet functions.
• Presented findings to executive leadership teams through concise presentations, influencing future strategy development.
• Conducted thorough competitor analyses, identifying gaps in market share and opportunities for growth.
• Developed customized reports, summarizing and presenting data in visually appealing format.
• Identified, analyzed and interpreted trends or patterns in complex data sets.
• Trained junior analysts on best practices, improving overall team performance and productivity.
• Identified patterns and trends in large data sets and provided actionable insights.