Nitin Umredkar Email & Phone Number

Pune Area, India

Python, Hadoop, NLP, Azure, AWS

Pune Area, India

1. Design post-paid marketing campaign for customer engagement & churn control using Segmentation & Customer Profiling (Analyzing customer service data and identify attributes causing plans or packs up-sell or cross-sell through promotion) approach using statistical modelling tools.2. Streamlined postpaid voice/data business through campaign manager solution in order to engage operator’s existing customers by up-selling plan & cross-selling voice plans & add-on Packs. 3. Provide inputs for developing and modifying predictive models to meet client needs and develop business specifications to support modifications like determine high propensity individuals from post-paid users by analyzing their Usage Pattern, Last bill, Decrement Rate, AON, and CLTV etc.4. Optimizing promotion cost by prioritizing high propensity customers for up-selling plan/pack using simple statistical technique & customer's attributes.

Bangalore

Designation: Business Analyst (Business Intelligence)My role:1. Understand key business challenges of mobile operators in prepaid/postpaid and VAS(Calue Added Services) space. Objective is to identify challenges across consumer life cycle & address them by offering consulting & innovative solutions to the global mobile operators.2.Focused approach to ensure High Usage & Revenue from Data and Voice VAS services through Customer Acquisition/Retention/Churn Control, Revenue Increment & Product Development for Telecom VAS products. Maintain healthy KPI (Net Revenue Assurance, ARPU) in the VAS verticals by identify product enhancement & VAS revenue opportunities.3.Delivered business intelligence solutions to telecom operators in the areas of consumer acquisition, engagement and retention by applying appropriate statistical models to improve revenue and prevent revenue leaks.4.For a major India Telco company, detected potential subscription product using Apriori algorithm (data mining techniques) in order to increase penetration of VAS products.5.Built a Decision Tree model which can predict weather users will churn current VAS service in next month. We also implemented Logistic regression and CART but choose Random Forest model as it was best fit to the data. Also built a Clustering model which can find group among users of service, on similarities among groups. It includes a Dashboard application is to show data analyses, and various visualizations/charts (KPIs). 6.Analyze, evaluate and report key performance metrics depicting incremental effectiveness of the solution.

Bangalore

My Role:1. Part of centralized presales team responsible for driving bids, RFI & RFP responses.Liaison with sales & product management teams for coming up with an apt solution for mobile operators.2. Delivered multiple RFP responses & compliance documentation on multiple VAS offerings (spanning in SMS, USSD, Voice, network, WAP) & M – commerce portfolios. 3. Key player in identifying the optimum VAS solution by reducing capital expenditure and increased profit margins.4. Played a key role in sharing new ideas for multiple VAS products improvement.

Study of British Telecom UK - BITM Mr. Abhijeet Singh Dec, 2008 - Mar, 2009 Description:1. Study of Service Provider Company . What are the Business , How is the performance of company,What are the Future Technology.2. Study of SIPOC model OSS/BSS model .; Market analysis of Telecom Infrastructure Sectors like Broadband , Wireless , Wi-max, Telecom Software , Telecom Turnkey , Mobile handset . By choosing proper Forecasting assumption and parameters and data ,we choose Exponential Smoothing Technique , to get a stabilized result.3. Study of eTOM model; study of BPM in Telecom software industry-Techmahindra. To understand the end to end delivery of the product as a service.

Pgdm, Telecommunications Management, 67

1. SIPOC & OSS/BSS model: Market analysis of Telecom Infrastructure Sectors like Broadband , Wireless , Wi-max, Telecom Software , Telecom.

B.E.(E.D.T), Electronics, 71.1

Hsc