Prashant Singh Email & Phone Number

Memphis, Tennessee, United States

• Marketing Performance Analysis: Utilize advanced analytics tools and techniques to analyze marketing performance data across various companies, media channels, and campaigns. Monitor key metrics such as conversion.
• Audience Segmentation: Analyze, develop, and maintain audience segmentation strategies to target both new customers and communicate with existing customers. Utilize demographic, behavioral, and psychographic data to.
• Campaign Optimization: Collaborate with cross-functional teams to optimize marketing campaigns based on performance insights. Implement A/B testing methodologies to evaluate different marketing approaches and identify.
• Customer Profiling: Conduct data science projects to build predictive models and customer profiles that identify the most valuable and profitable customers. Leverage machine learning models and predictive analytics to.
• Data Visualization and Reporting: Create visually compelling reports and dashboards to communicate key findings and insights to stakeholders. Present actionable recommendations for optimizing marketing strategies and.

Memphis, Tennessee, United States

• Perform expert data analysis that leads to decisions on how to optimize marketing programs such as Loyalty, Media, and Promotions as well as understanding how customers buy product categories from AutoZone
• Prepare and present actionable insights to leadership and business teams, address key questions, and drive channel sales, customer retention, and acquisition strategies
• Generate actionable insights from data and effectively communicate recommendations to drive sales, customer engagement, and EBIT
• Propose KPI metrics to track and understand the trends in retail, Loyalty and CRM business
• Create and automate weekly, period, and quarterly reporting to understand the performances of different KPI metrics across different marketing channels
• Assist in identifying statistical approaches and building models and reports to support business decisions

Greater Minneapolis-St. Paul Area

• Manage complex data sets and models to drive an efficient list generation fulfillment process.
• Perform data querying and management in support of list generation.
• Use propensity models, segmentation, and experiment design to support targeted marketing.
• Develop analytical frameworks and statistical models for clients using common statistical tools such as R and Python.
• Maintain internal marketing databases and repositories to drive analysis using SQL.
• Utilize above tools and documentation to create timely and high-quality outputs to customers.

Greater Philadelphia Area

• Performs data mining/in depth analysis of customer database to identify, and makes actionable, key customer segments that can drive value for company.
• Creates closed-loop, highly quantitative measurement process to ensure continuous campaign and program improvement (e.g., response analysis, ROI, campaign dashboard development, etc).
• Creates control groups within each campaign to measure overall effectiveness of database marketing efforts.
• Analyzes, develops, and secures Prospect & Customer files as it relates to circulation, direct marketing & strategic planning.
• Supports and reports of quantitative analyses that drive strategic business decisions on all measurable aspects of multimedia direct marketing campaigns to acquire, retain, up-sell, and cross-sell customers.
• Identifies marketing opportunities by analyzing customer trends to enhance and create new business and/or programs.

Kansas City, Missouri Area

• Researched and conducted a 400,000 customers overview by segmentation analysis using demographic, socio-economic, psycho-graphic, transactional and historical customer engagement data.
• Worked directly with client to understand business goals and how data/analytics can be leveraged to better strategize customer retention and cause and effect analysis of customer attrition and helped client with.
• Executed and evaluated the effectiveness of season based campaigns to cater to the changing marketing trends.
• Evaluated profit and loss statistical models for effective forecasting and assisted in implementing customer relationship management (CRM) programs like customer lifetime value, multichannel analysis, and media mix.
• Assisted in developing and creating an interactive dashboard in Tableau using analytical querying and determining the KPIs for marketing campaigns. Conducted hypothesis testing and identified the key variables to.
• Designed and managed direct mail and email campaign effectiveness programs and determined customer’s response rates which helped calculating return on investment (ROI) for allocating budgets.

Stillwater

The role required executing strategy management and industry analysis research projects, analyzing the details of the industry data, building the relevant database and developing mathematical models to study the competition effect in the industry.

Kansas City, Missouri Area

• Develop, manage, and optimize effective targeting strategies for custom programmatic advertising campaigns.
• Work with account managers to develop and implement major digital marketing strategy changes.
• Recognize, flag, and manage trends across all accounts – chronic underserve, overspend, performance fluctuations, etc.
• Ensure contract fulfillment by meeting campaign pacing goals while maximizing performance.
• Develop organization-level excel dashboard incorporating custom performance metrics and a weighted scoring system to help Data Team members better prioritize campaign optimization. This has, in combination with other.
• Develop, implement and generate monthly risk book/report which contains overall portfolio results, including static pools, department results and information, as well as forecasts that accurately depict the.

Augusta, Michigan

• Determined what the standards are for “clean” data and clean up the data.
• Defined, developed, and implemented standards for data entry and defined, developed, and implemented methods for looking at the data on a regular basis to keep the data clean.
• Set metrics for quantifying and qualifying the data.
• Defined end user needs for the data through interviews, end user input, and executive input to provide managers with appropriate reporting tools.
• Developed methods to analyze the data to show customer trends.
• Used that data analysis to model marketing and sales plans to develop more robust revenue streams.

Ms, Management Information Systems, Business Analytics, 3.5/4.0

Database Marketing Base SAS Programming for Database Marketing Data Mining & CRM Applications Business Intelligence Tools & Technology.

Mba, Marketing Analytics & Management, 3.6/4.0

Activities and Societies: International Students Association, SwimmingManagement & Organizational Theory Managerial Economics Marketing.

Bachelor Of Technology, Computer Science, 8.5/10.0

Activities and Societies: Programming Languages ClubData Structures with C/C++ Unix Shell Programming Graph Theory and Combination Object.