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Forecasting Statistician Resume

Chicago, IL

SUMMARY

  • Highly skilled analytical professional with over 15 years of experience in Telecom, Media and Retail industry in delivering actionable analytical insights
  • Spearheaded multiple advanced analytical projects in forecasting, building statistical models that was key in improving direct & digital marketing efforts ROI
  • Extensive experience in presenting complex analytical findings to all levels in the organization including senior management
  • Demonstrated proficiency in managing vendors, external resources and junior analysts

TECHNICAL SKILLS

  • Base SAS
  • SAS Enterprise Guide
  • SAS Enterprise Miner
  • SAS Forecast Studio
  • SAS Forecast Server
  • Time Series Studio
  • SAS JMP
  • KXEN
  • SPSS
  • R
  • Python
  • SQL (Teradata
  • Oracle
  • SQL Server)
  • Tableau Microsoft Suite with focus on Excel (Pivot) and PowerPoint

PROFESSIONAL EXPERIENCE

Confidential

Forecasting Statistician

Responsibilities:

  • Responsible for forecasting Confidential  entire prime time cable network suite (SYFY, Bravo, USA, ENT, Oxygen)
  • Use SAS Enterprise Guide to create datasets conducive for forecasting, and SAS forecast server, with ARIMA, ARIMAX, UCM and Exponential modeling techniques, to forecast T.V audience viewership totals
  • Use SAS Enterprise Guide to retrieve forecast result from SAS forecast server location and analyze forecast results and trends using Excel and Tableau
  • Insights on T.V audience viewing behaviors presented using Tableau created awareness about show’s schedule impact on viewership totals
  • Managed modeling team and set up guidelines to streamline forecast model production, selection and review process

Confidential, Chicago, IL

Shared Analytical and Data Services

Responsibilities:

  • Used insights from forecasting, statistical model, customer segmentation, market basket analysis and multivariate factor analysis, to present actionable insights for acquisition and retention program efforts.
  • Retention and acquisition statistical models were used in marketing campaigns effort to improve customer retention rate Analytical SME for Direct Marketing teamSet up A/B test experiments for email, web and catalog mails.
  • Derive insights using SAS tool, Nielson demographics data, Google analytics (add to cart, website visits and transaction) data along with digital metrics (Click Through Rate, Click to Open Rate, Conversion and Bounce rate) and presented opportunities, in the form of cohorts for marketing campaign, to improve financial returns
  • Used statistical model (logistic regression) customer segmentation, multivariate factor analysis and market basket analysis techniques to profile customers for personalized campaign targeting effort
  • Led a team of five in successful implementation of a Universal Control Group (UCG) to more accurately measure marketing campaign effectiveness
  • Senior leadership presentation on campaign results and potential cohort profile for campaign target in quarterly and monthly business review meetings
  • Insights presented led to incremental sale in terms of customer life time value of at least $1M within a two year period
  • Forecasted web metrics using ARIMA, ARIMAX and Exponential modeling techniques
  • Mentored junior analysts on analytical techniques
  • Represented Marketing Department in Data Governance Team

Confidential

Consultant SQL & SAS Development and Analytics

Responsibilities:

  • Confidential, currently acquired by Confidential is an IT services firm focused on advanced analytics, data - driven corporate performance management, data warehousing, BI, CRM, and program management.

Confidential, Overland Park, KS

Responsibilities:

  • Using SAS, SQL on Teradata, Oracle and SQL Server database to create multiple customer segmentation profile and analytical insights
  • These insights were used in calculating customer life time value which helped in various personalized marketing campaign effort

Confidential, Overland Park, KS

Software Engineer

Responsibilities:

  • Develop and managed implementation of CRM system in Oracle to analyze campaign effectiveness

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