Abhishek Ranjan Jha Email & Phone Number

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

• Act as the Engagement/Delivery Manager and leads a team of 18 onsite-offshore consultants in USA for Major e-commerce marketplace and a major US Telecom conglomerate handling $3 MM + revenue• Lead a team of 7 individuals for a CRM COE for a Discount Shoe retailer in US.• Create a CLTV model for a leading US shoe retail company. Used a combination of Survival Model and Poisson regression to predict lifetime value of around 35 MM customers.• Used Linear and Non-Linear optimization for creating pricing models for a CPG client.• Created a predictive response model using different regression algorithms like Logistic, Poisson, etc. aimed at targeting new customers for their direct mail campaigns.• Develop and build store segments in R using hierarchical clustering for US Shoe Retail company• Create and present proposal pitches to clients in the field of Advanced analytics for getting new clients.

Bengaluru, Karnataka, India

• Act as a technical project manager for a Shoe Discount retailer of US for all the project related to its CRM database enabling the client to improve the targeted promotions and improve the LTV for the active loyal customer base.

Mumbai Area, India

Joined in Pricing Analytics team of the Global Pricing COE at FedExInvolved in Pricing Analytics projects on the subjects ranging from Yield Management, Churn and Predictive analyticsReceived Bravo Zulu (Individual Award) as First Citizen of Pricing COE for Q1 FY2015 (Jun-Aug15)and a Team Collaboration Award for the same quarter.Received another BZ for successfully implementing Post GRI measurement and tracking for all the regions.

Mumbai Area, India

Providing Analytics expertise to the Strategic Solution Group for the scope Analytics in the upcoming Leads which in turn will help in expanding the base of services across domains by bringing in extra revenue through Analytics based solutions.

Mumbai Area, India

Building and Providing Actionable Solutions for Clients accross domains.Travel Analytics for a US Liesure and Travel Client (US)•Analyzed CSAT (Customer Satisfaction) survey responders from June 2011.•Checked for their Future Transactions between July 2011 and June 2012.•Prepared the Presentation to showcase the findings and recommendations based on it.Proof of Concept using Advanced Analytics for a Shipping Client(Denamark)•Analyzed Transactional Invoice level data for Detention and Demurrage.•Profiled the analyzed data and answered the business questions asked from the client•Applied Statistical Models like CHAID/Decision Tree and Correlational analysis to solve the business objective•Prepared the Presentation to showcase the findings and recommendations based on it.Survey Analytics for a Product Based Client (US)•Analyzed Survey data for the questionnaire which had costumer familiarity, favorability and purchase intention towards various range of products like OS, Smartphones/Tablets, Browser, Services and Gaming consoles.•Used statistical procedures like logistic regression, Chi-Squared Tests and SEM for trying to get insights from the data.•Prepared presentation to showcase the findings and recommendations based on itReceived STAR Fire Award for Oct-Dec’12 Quarter at the WNS rewards and recognition program

Mumbai

Subscriber Preference and Churn Modeling for an Indian DTH giant• Prepared product specific variables on the SQL database.• Using a modeling window of 12 months a model was prepared to find the propensity of a customer to churn (become de-activated for more than 30 days).• This model is used to target the top churners and build promotions to impact this behavior.• Using the historic data built a predictive models for propensity of a customer to prefer a product over others using logistic regression.• Used KXEN modeling tool to finalize the models.Fraud Detection model for Consumer Durable Loans for an NBFC client • Prepared the data using SQL database.• Created many fraud specific variables using demographic criteria such as city ,state and resident type • Created many index variables to capture the fraud instances which were very low to start with.• Used KXEN modeling tool to build the final model.• Used Java to implement the model on the cloud for the clientRecieved Award for Team of the Month (Sept 2011) for the Fraud Detection Model we developed for a Financial Services ClientRecieved an Award for Analytics Performer of the Month for the month of December for Churn Weekly tracker reporting and its Automation using Excel Macros.

Canberra, Australia

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Knowledge of advanced statistical techniques like regression, discriminant, univariate analysis and data modelingKnowledge of SAS, SQL and MS Office applicationsAudience Profiling for a US Based NGOAnalyzed data received from 40,000 respondents to an email campaign.Profiled audience based on different variables and created personas for proposing client to target a particular section of population for membership of their organization.Documented and prepared presentation for the client.SAS-Excel Automation of a Monthly Report to reduce manual errors and reporting time. Used SAS macros to automatically paste SAS datasets onto MS Excel spreadsheets to reduce the turnaround time for reports

High Value Customer Model for a US based AirlinesAnalyzed 30 day transaction data of about 100,000 customers.Used statistics like frequency counts, means and correlation to reduce the number of variables to be used in the final model.Used regression to remove insignificant variables.Used logistic regression to finalize the model which predicts whether a person is going to be a high value customer based on the available data.(selected variables)Prepared a PowerPoint presentation showing the accuracy of the model in form of charts and graphs.

Master Of Business, Statistics

Activities and Societies: Sports Representative for Unilodge,won 2010 ANU UniLodge Community Scholarship , represented Unilodge.

Graduate Certificate Of Applied Statistics, Statistics

Certificate Of Business Acumen, Business Administration And Management, General, Distinction

Activities and Societies: Recognized as one of the Top 5 scorers in the Program. This course enhances the knowledge and understanding.

Data Analytics And Its Application In Business & Marketing, Analytics, Attended

An executive program on business application of strategy and data analytics

B.Sc Hons, Chemistry

Activities and Societies: Secretary of Chemistry society TATVA in 2004,Sports Secretary of Hindu College Hostel in 2004,Captain of Hindu.

I.Sc, Science

Activities and Societies: i was a member of G.K Club. got 120tth rank in All India Maths olympiad.

Education record