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Abid Raza Shaikh
Business Analytics Vice President @Citi
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WORK HISTORY
Business Analytics Vice President @Citi
Led credit card retention analytics for ~30 MM customer portfolio, designing strategies that prioritize profitable customers and deliver stronger risk adjusted returns for Citi.•Expanded Retention from phone to Digital integrating Omni channel Decision Engine to optimize customer journeys resulting in a 30-40% uplift in retention revenue, improving conversion quality across millions of weekly impressions on digital platforms.•Partnered with Modelling team to develop and operationalize Disengager and save propensity models enabling precise identification of high attrition and high value customers and improving profitable saves.•Introduced Gen AI Based solution for LOB, reducing redundancy and speeding delivery allowed us to focus on strategic projects.•Owned end to end governance of EUC’s, worked closely with MRM, risk and modeling teams to validate, monitor predictive models.
EDUCATION
Jawaharlal Nehru Technological University
Bachelor of Technology (B.Tech.), Electronics and communication Engineering
University at Buffalo
Master's degree, Management Information Systems, General
Kendriya Vidyalaya
12th
SKILLS
ABOUT ABID RAZA SHAIKH
I\'m a data consultant experienced in solving business problems using statistical tools in multiple domains. I\'ve built predictive models on a variety of projects including SQL and Python and built successful forecasting models,lookalike model in a number of industries. I love solving business problems using data and statistical techniques.TECHNICAL SKILLS• Analytical Tools: SQL, Python, R Hadoop (Hive, Impala), SAS Enterprise Guide, SAS Enterprise Miner, Toad, Unix, Oracle Database, Teradata, Oracle Financial Services Analytical Applications/Mantas (versions 6.x till 8.x)• Business Intelligence: Proficient in Tableau, Advanced MS Excel (Pivot Tables, V-Lookups) for reporting, data visualization and thus providing insights in business operations and driving decision-making, OBIEE• Predictive Data Analytics: Experience in statistical inference, data analysis, linear and logistic regression, multivariate analysis• ETL Tools: Informatica, IBM DataStage, Load Runner
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