Aveek Banerjee

CEO

New York, New York, United States19 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led a team of data scientists in credit risk modeling.
Developed predictive models for customer engagement.
Expert in statistical modeling and machine learning techniques.

Stackforce AI infers this person is a Fintech expert with strong capabilities in data science and analytics.

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Skills

Core Skills

Data AnalysisAnalytical SkillsStatistical ModelingTime Series AnalysisRegressionCampaign StrategyAutomation

Other Skills

SASPropensity ModelingExcel VBAConsultationComputer ScienceHiveCommunicationStatisticsPython (Programming Language)Data VisualizationMachine LearningApplied MathematicsFinancial AnalysisCorporate CommunicationsAnalytics

About

Analytics / data science professional with deep experience in data driven problem solving and leadership. Currently leading a team of experienced data scientists, responsible for managing credit risk models using machine learning techniques. Specialties: Machine Learning(SVM, Random Forrest), Text Mining, Social Media Analysis, Statistical modeling (Regression, Time Series, Hypothesis Testing etc), Digital Analytics, Customer Segmentation and Insight, Capacity Planning, Team Management, Project Management

Experience

19 yrs 9 mos

Total Experience

3 yrs 11 mos

Average Tenure

11 yrs 10 mos

Current Experience

Citi

3 roles

Senior Vice President

Promoted

Jan 2023 – Present · 3 yrs 5 mos

Data AnalysisAnalytical Skills

Vice President

Promoted

Jan 2018 – Dec 2022 · 4 yrs 11 mos

Assistant Vice President

Jun 2014 – Dec 2017 · 3 yrs 6 mos

Leading a data science team responsible for driving business strategies and solutions around Customer Experience for Citi's Consumer business.

Capital one

Principal Associate

May 2012 – Jun 2014 · 2 yrs 1 mo · Bangalore

Digital Analytics
Worked on use of statistical artificial intelligence to identify Complaints related to the Digital channels such as website, mobile application etc
Developed regression model to identify the drivers of digital engagement by analyzing click stream data, offline call center data, product usage and account level information

Hsbc analytics

Assistant Manager

Apr 2010 – May 2012 · 2 yrs 1 mo

Call Volume Forecasting and Capacity Planning
Develops Time Series Models (ARIMA) and Regression Models in SAS, in order to forecast the call volumes expected to come in different customer care units in HSBC

Wns research and analytics

Assistant Manager

May 2008 – Apr 2010 · 1 yr 11 mos

Developed campaign strategy for different FMCG campaigns that run in the UK based retail store
Developed recency, frequency monetary (RFM) value based target segments of the buyers of the FMCG products
Developed different propensity models in SAS from previous campaign’s response data and scored the current campaigns with that model to identify the leads with high propensity of response
Provided post campaign insights based on the analysis done on some key performance indices in SAS (macros)
Recruited and trained an offshore team of 5 analysts
Manage a team of 5 analysts in offshore

Accenture

Analyst

Jul 2006 – May 2008 · 1 yr 10 mos

Analyze performances of different content providers (CP) of the US based telecommunication industry
Developed customer segmentation in SAS and analyzed how efficiently the CPs are serving the top customer segments
Automated the insight reports in SAS (macros), SAS (graphs) and Excel VBA