Project Involvement:SNC FED Reporting (Q1, Q2, Q3): Managed data extraction and reporting from multiple systems (ACBS, CRE, Loan IQ).Sub-Participation Information Gathering: Conducted detailed information gathering and analysis for sub-participation deals.Syndtrak Automation: Developed and implemented automation for data feeds from Loan IQ to Syndtrak website, enhancing efficiency in deal creation.KYC Jurisdiction Management: Spearheaded the KYC jurisdiction processes in Loan IQ, ensuring compliance and accuracy.Key Responsibilities:Gathered and analyzed requirements from multiple stakeholders.Led and facilitated meetings with stakeholders to gather requirements and ensure alignment.Created and maintained process maps for reporting and compliance processes.Documented processes and updates on Confluence.Followed Agile methodology for project management and task tracking.Provided regular status updates and participated in daily stand-up meetings.Skills:Data AnalysisRequirements GatheringStakeholder ManagementProcess MappingAgile MethodologyConfluence

Assisted customers in selecting and purchasing mobile devices and service plans that met their needs, resulting in a 20% increase in customer satisfaction scores.Managed inventory and ensured the store was well-stocked, reducing stock outs by 15%.Processed transactions accurately and efficiently, maintaining a 99% accuracy rate.Conducted product demonstrations and educated customers on the features and benefits of various devices and plans.Assisted in resolving customer complaints and issues, enhancing customer retention and loyalty.Developed and implemented promotional strategies that increased sales by 10%.Trained new employees on store policies, procedures, and sales techniques, contributing to a more effective and knowledgeable team.Maintained up-to-date knowledge of the latest mobile technology trends and products.

- Collaborated with cross-functional teams to gather, document, and prioritize business requirements for system enhancements and process optimization.- Conducted thorough data analysis using Excel and SQL to identify trends and insights that guided decision-making.-Actively participated in Agile Scrum rituals, including daily stand-up meetings, sprint planning, sprint reviews, and retrospectives, to ensure seamless collaboration and project alignment within cross-functional teams. -Assisted in the development of user stories, process flow diagrams, and functional specifications. -Played a key role in user acceptance testing (UAT) to ensure the successful implementation of system changes. -Presented findings and recommendations to both technical and non-technical stakeholders through clear and concise communication. -Contributed to post-implementation reviews to assess project outcomes and identify areas for improvement.

Developed and implemented digital marketing strategies to increase online presence and brand awareness.Created and managed a personal webpage for a digital marketing project: crazyfootballshoes.weebly.com.Utilized SEO best practices to improve website ranking and drive organic traffic.Managed social media accounts and executed social media campaigns to engage with the target audience and increase followers.Analyzed website and social media metrics to measure the effectiveness of campaigns and make data-driven decisions.Collaborated with clients to understand their marketing goals and provide tailored digital marketing solutions.Skills:SEOSocial Media ManagementContent CreationGoogle AnalyticsEmail MarketingWeb Development (Weebly, WordPress)Digital Marketing StrategyData Analysis

Coordinated with the data science team to analyze large datasets using Python and data manipulation libraries such as pandas and NumPy.Assisted in data preprocessing tasks, including cleaning, imputation, and normalization, to ensure data quality and integrity for analysis.Utilized machine learning algorithms, such as linear regression and decision trees, to build predictive models for customer churn prediction, achieving an accuracy improvement of 10% over the baseline model.Conducted exploratory data analysis (EDA) to uncover insights and patterns within the data, which contributed to a 15% increase in targeted marketing effectiveness.Developed data visualizations using libraries like Matplotlib and Seaborn to communicate findings to both technical and non-technical stakeholders, improving their understanding of complex concepts.Collaborated with the engineering team to deploy machine learning models into a production environment, ensuring seamless integration with the company's web application.