Syed Zain Abdullah

syed zain abdullah

Manager - Analytics Consulting at Deloitte & Touche M.E.

Saudi Arabia

Bio Summary

·        A Seasoned Data Science and Analytics professional with extensive experience of 13+ years providing Customer-centric and Value-driven solutions across Healthcare, Retail, Banking and Public Sector domains

·        A Data Science enthusiast with a programming outlook, having hands-on experience in developing data driven methodologies using SAS and Python to solve complex business problems, and delivering/deploying Predictive Models, leveraging Statistical Analysis and Artificial Intelligence/Machine Learning techniques

·        Have an experience of driving Customer Experience and Omni-channel effort, providing integrated analytics solutions across Contact Center, Web and Mobile Apps

·        Have an experience in leading a Digital Transformation of healthcare system and develop a competency of NLP to set up a Voice of Customer team, in order to provide actionable insights and improve NPS

·        Capable in converting a new Business from POC and establishing a delivery team

·        Have an experience of managing a team of Data Scientists and Analysts, conducted various Training Programs for newly hired batches on technical and domain understanding

Presently working in Deloitte, Riyadh in Analytics Consulting. Other organizations associated prior to this - United Health Group, IBM, Inductis(EXL), WNS, Digitas and Webisdom, primarily focused on helping organizations foster their business using data-driven business solutions

Employment History

Deloitte & Touche (M.E.

Manager - Analytics Consulting

Deloitte & Touche (M.E.

January 2022 - present

Riyadh Saudi Arabia

Providing Analytics Consulting solutions to the Public Sector client – ZATCA (Zakat, Tax and Custom Authority) of Saudi Arabia • Responsible for identifying the analytics opportunities in the existing operations of diffe ...see more
UnitedHealth Group

Manager - Data Science

UnitedHealth Group

June 2015 - January 2022

Noida, Uttar Pradesh, India

Omni-channel Analytics (Value: 2 to8 points increase in NPS and $15M Operational Cost Saving) • Set up a new Team driving an Omni-channel effort, focusing on Contact Center Optimization, starting from Pilot to establishing ...see more
IBM

Data Specialist - Advanced Analytics

IBM

November 2014 - June 2015

Gurgaon, Haryana, India

Engaged with Telecom Service Provider client and proposed different data driven solutions, such as Segmented mode of Payment Collection to minimize the Fraudulent Loss, Proactive strategies to predict the Defaulters • Moni ...see more
EXL

Senior Business Analyst

EXL

January 2014 - November 2014

Gurugram, Haryana, India

• Responsible for delivering Analytics Solutions in the area of Credit Risk for Barclaycard, US • Looking after PD Model Monitoring, Credit Line Increase, Balance transfer, Delinquency and Charge-off Analysis • Delive ...see more
WNS Global Services

Lead Associate

WNS Global Services

October 2011 - January 2014

Gurugram, Haryana, India

• Delivered Data Driven Solutions to Retail chains – Tesco, Kroger and Macy and their CPG clients, with an objective to increase ROI. Solution includes Basic and Advanced Statistical Techniques • Responsible for managi ...see more
Digitas

Analyst

Digitas

February 2011 - October 2011

Delhi, India

• Delivered extensive data driven solutions to optimize the Online Advertising Campaigns. Different techniques include Hypothesis Testing and RFM Analysis to execute segmented Promotion • Developed Predictive models to i ...see more
Webisdom

Analyst

Webisdom

September 2010 - January 2011

Delhi, India

• Responsible for providing Analytics Driven Insights to Digital Marketing and Website Optimization activities, in order to put Customer Centric Efforts • Set up a Platform for Web Traffic Monitoring and Analytics using ...see more

Selected Project Experience

Project Description:
A Consulting project with an objective to determine the Cross-Campaign Impact on different Products that were being advertised through different Media and Recommend the Best Path for their Product. The raw Panel data was provided which includes Television Exposure, Online Activities and an Advertising Effectiveness Survey data. Some of the tasks performed are- ‐ Defined Objective and create data driven rules for Dependent Variables ‐ Data Cleaning and Preparation- Sampling (simple and stratified), Data Transposition, Missing Imputation and Outlier Treatment ‐ Preliminary Analysis - Univariate and Bivariate analysis, Variables Derivation and Transformation, Variable Reduction ‐ Model Development and Validation - Developed Predictive Models using Logistic Regression to predict the Likelihood of Customer having Intent to Purchase a Product, based on different Advertising Campaigns. Validation of the developed models on the actual Transaction Data to assess the effectiveness before implementing the Results. ‐ Worked on Structural Equation Modeling to decide the most Preferred and Optimized Path to Sell the Product

Industry: Retail, Wholesale and Distribution

Topic(s): Customer Analytics, Marketing

Project Description:
The campaigns comprise of direct marketing mailer of different brands associated with the Kroger Retail Chain. The objectives of the campaigns vary from product to product and from brand to brand. These are inviting new customers, bringing back the lapsed customers, retaining the valuable customers. Some of the tasks performed are- • Managing the various phases of campaign life cycle which include planning, data preparation, targeting and evaluation • Developed the Propensity Models for targeting the most appropriate customers for different CPG campaigns on the basis of their past shopping behavior • Implemented Market Mix Models to utilize the marketing budget effectively and increase ROI

Industry: Retail, Wholesale and Distribution

Topic(s): Campaign Management, Customer Analysis, Affinity Marketing

Project Description:
‐ As part of Personalized Healthcare in Medicare & Retirement, an Advocate is supposed to take consent of members to schedule an appointment of their required Screenings, in order to improve Member’s experience, be cognizant of their Health conditions and improve STAR rating of the Plans ‐ There was an annual goal of 200K Assists, committed by the CEO of the Organization. With this objective, different methods were introduced to increase Assistance in Scheduling an appointment ‐ Introduced a new approach for the first time in Healthcare – Uplift Model, which enables identify the relative likelihood of members to respond to an offer compared to their natural tendency ‐ This had played a pivotal role in accomplishing the Goal, which later adapted in different other Lines of Business

Industry: Healthcare

Topic(s): Customer Analysis, Marketing Analytics

Project Description:
‐ NPS Survey is conducted to take Customer feedback on the Healthcare Services provided by different Lines of Business. ‐ Feedback Verbatim is being analyzed using NLP algorithms and Machine Learning Techniques, in order to extract Top Themes driving NPS ‐ Different Techniques include Tokenization, Lemmatization, N-Gram Analysis, Categorization, and Sentiment Analysis. ‐ Value Driven Insights are provided to the Business, to take action upon the specific areas of existing Operation and initiate new measures, in order to improve NPS

Industry: Healthcare

Topic(s): Natural Language Processing (NLP), Customer Experience Improvement

Project Description:
• Flu shot vaccination is a preventive care provided to the members, in order to protect them against Flu Virus. Flu vaccination can slacken the intensity of illnesses, thereby avoid Doctor’s visits, as well as prevent Flu-related hospitalization and fatality • The Flu shot campaign targets members who are highly vulnerable and susceptible to Virus infection • Built a Predictive Model to identify the most appropriate members, who should be offered Flushot by considering various parameters – Socio-economic attributes, Personal Health History, Past Healthcare Services availed and Medicine Adherence information

Industry: Healthcare

Topic(s): Preventive Healthcare, Campaign Management

Education

Bachelor of Engineering - Computer Science

Rajiv Gandhi Technical University

2009

Language Skills

Country Experience

Saudi Arabia India

Skills

(American Society For Quality) ASQ Certified

Analytics

Analysis

Data Science,

Predictive Analytics

Information Technology

Artificial Intelligence,

Python (Programming Language),

Data Management

Marketing and Public Relations

Customer Analytics

Data Analysis

Industry Experience

Healthcare

Public Sector

Financial Services

Retail banking

Consumer Products

Retail, Wholesale and Distribution