Sreeja Bethu

• Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.
• Used statistical methods to analyze data and generate useful business reports.
• Improved decision-making processes with accurate data analysis and visualization techniques.
• Produced monthly reports using advanced Excel spreadsheet functions.
• Utilized data visualization tools to effectively communicate business insights.
• Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.
• Identified, analyzed and interpreted trends or patterns in complex data sets.
• Designed custom tracking systems to monitor KPIs, ensuring alignment with organizational goals and objectives.
• Reduced operating costs by automating manual data processes using scripting languages such as Python or R.
• Evaluated the effectiveness of marketing campaigns using A/B testing methodologies, optimizing strategies for higher ROI.
• Tested data prediction algorithms based on historical data.
• Managed large-scale databases to ensure timely access to critical information for key stakeholders.
• Enhanced business efficiency by identifying trends and patterns in complex datasets.
• Provided technical support for troubleshooting analytics and reporting issues.
• Developed complex dashboard and reporting tools to track business performance metrics.
• Developed customized reports, summarizing and presenting data in visually appealing format.
• Created dashboards to monitor and track key performance indicators.
• Optimized data access and storage to improve performance of analytics systems.

Client : Thematic

• Attended professional development workshops to stay current on educational trends and techniques, incorporating new ideas into the curriculum.
• Researched emerging creative communities within the creator economy.
• Identified potential YouTube and Instagram content creators for Thematic's network.
• Analyzed creator profiles for alignment with Thematic's offerings.
• Developed strategies to enhance Thematic's communication and advertising.
• Recommended targeted genres and creator personas for outreach.
• Collaborated with marketing teams to develop targeted advertising campaigns.
• Monitored and reported on outreach campaign progress and effectiveness.
• Created visualizations to display positive, negative, and neutral sentiment over time or by location.

Client - CFAO - New York

• Applied SDLC principles during various phases of software development and testing.
• Implemented Agile methodologies within project teams, increasing overall adaptability and responsiveness.
• Enhanced stakeholder engagement through effective communication of complex data and insights.
• Created new analytical systems to boost vital business metrics visibility.
• Supported leadership team with reporting, analysis, and business presentations to inform divisional strategies.
• Spearheaded change management efforts during major system implementations, minimizing disruptions to daily operations while maximizing employee buy-in for new processes.
• Guided teams and refined Agile techniques throughout journey and evolution of delivery cycles, establishing documentation framework to support Agile methodology implementation with Waterfall-centric delivery team.
• Streamlined workflow for better productivity with the implementation of new software solutions.
• Document identified issues using bug-tracking tools and create detailed reports.
• · Developed and executed test cases, scripts, and plans to verify functionality, usability, and performance.
• Participated in Scrum ceremonies, update project deadlines as per backlog refinement availability.
• Tracked and analyzed all the project tasks and deadlines using Trello and Kanban.

• Worked varied hours to meet seasonal and business needs.
• Developed strong client relationships through timely and thorough follow-up on inquiries and concerns.
• Developed and implemented strategies to increase customer satisfaction and engagement.
• Enhanced team productivity by streamlining communication and implementing efficient project management tools.
• Optimized departmental processes with the implementation of innovative strategies, resulting in improved efficiency and reduced costs.
• Contributed to risk mitigation efforts through careful analysis of potential threats to operations or profitability, recommending appropriate action plans when necessary.

• Increased data accuracy by implementing thorough data validation and cleansing processes.
• · Create user stories from requirements, develop Business requirements document (BRD) and Functional requirement document(FRD).
• Improved decision-making processes by presenting comprehensive data visualizations and reports to key stakeholders.
• Collaborated with cross-functional teams to develop optimized business strategies based on data insights.
• Implemented robust quality control measures for all incoming datasets, ensuring consistency across multiple sources.
• Contributed to process improvement initiatives, leveraging extensive knowledge of industry-specific requirements and regulations governing the use of sensitive information.
• Streamlined data analysis workflows for increased efficiency and reduced turnaround times.
• Supported process improvement initiatives by analyzing operational metrics and identifying areas for efficiency gains within the organization.
• Identified data discrepancies and inconsistencies through rigorous data audits, ensuring the highest level of data integrity for business-critical decisions.
• · Tracked and analyzed all the project tasks and deadlines using Trello and Kanban.
• Participated in Agile Scrum ceremonies and provided technical expertise.
• Articulated risks and issues to communicate concerns to various levels of management.
• Evaluated third-party software solutions to determine optimal tools for ongoing analytics projects, leading to increased productivity within the team.
• Standardized data collection procedures across departments, ensuring consistent data quality and enabling seamless integration of new datasets.
• Developed custom data models to improve forecasting and drive strategic initiatives.
• Prepared comprehensive documentation, including business requirements documents, user stories, and process flow diagrams, to support software development and implementation efforts

• Implemented best-practice methodologies that improved overall project delivery timelines while maintaining quality standards.
• Improved forecasting accuracy through rigorous analysis of historical trends, incorporating external factors such as seasonality and market conditions into predictions.
• Streamlined reporting processes by automating routine tasks using Python and Excel macros.
• Identified trends and patterns in complex datasets, translating findings into easily understandable visualizations and reports.
• Reduced manual processing time with automation scripts, allowing more focus on strategic initiatives within the department.
• Enhanced collaboration between departments by developing standardized metrics and KPIs for measuring performance across various functions within the organization.
• Assisted in the development of interactive dashboards with Tableau, providing actionable insights to stakeholders.
• Created dashboards to monitor and track key performance indicators.
• Interacted with internal customers to understand business needs and translate into requirements and project scope.
• Supported software development projects by defining clear requirements and effectively communicating them to technical teams.
• Optimized workflow processes to enhance overall productivity and achieve operational excellence.
• Collaborated with stakeholders to define project objectives and criteria.

• Produced monthly reports using advanced Excel spreadsheet functions.
• Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.
• Used statistical methods to analyze data and generate useful business reports.
• Improved decision-making processes with accurate data analysis and visualization techniques.
• Extracted and interpreted data patterns to translate findings into actionable outcomes.
• Utilized advanced query optimization techniques to enhance database performance and reduce latency issues during high-traffic periods.
• Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.
• Identified, analyzed and interpreted trends or patterns in complex data sets.
• Streamlined data processing for faster results by implementing advanced analytics tools.
• Documented effective and replicable methods for extracting data and organizing data sources.
• Reduced operating costs by automating manual data processes using scripting languages such as Python or R.