1. Jatinder Bedi
Isb.jatin@gmail.com / 91-9717394374
Data analytics professional with around 9.5 years of experience in BFSI, web and retail Analytics encompassing Data science and Business analytics. Successfully Completed PG Business Analytics program at Indian School of Business. Proven experience in Business Consulting, Analysis,Project management and technology Leadership. Execution of successful projects in data science, statistical analysis and Data mining. I have knowledge of technology and processes across the entire data value chain. I have keen interest in use of Analytics and Business Intelligence to solve Business Problems and I look forward to leverage my domain, technical, organizational and managerial skills in solving business problems through different engagements.
 Strong experience in Business and statistical analysis of Enterprise customer data with specialization in consumer banking and credit cards
 Working experience in analyzing and engineering experimental design.
 Successfully established and managed global teams, programs and initiatives enabling bank to comply with Regulations
 Strong experience in client interaction and consulting.
 Program Management with proven track record of executing large scale transformation programs
 Managed the Core Banking team for Fiserv.
 Strong understanding of data strategy and architecture to discover game changing possibilities.
 Managed the task force for optimization and operation improvement within the organization.
 Strong experience in ability to Analyze requirements and design potential solutions that includes assessment of technical and business suitability
 Strong experience in business consulting.
 Strong experience in understanding business problems and formulating analytical solutions/processes/actionable recommendations to the line of business.
Key Accomplishments:
 GPA score of 3.58 on scale of 4 @ ISB
 Successfully executed project “SOCIO ECONOMIC BUSINESS INTELLIGENCE SOLUTION FOR BANKING / FINANCE SECTOR” for Indicus Analytics and identified the probable locations for opening of rural bank branches in India. Techniques used include regression and clustering.
 Unsupervised learning of Chicago crime data @ ISB.
 Visualization of comparative analysis of BRICS nations @ ISB
 Sentiment Analysis of Twitter Data @ISB
 Trained in SAS Enterprise Miner 7.1 for Predictive Modeling
 American Bankers Association certified in principles of banking module.
 Established the Consumer for Bank of America in India and successfully transitioned the entire team.
 Leading the innovation council and contributed to new product ideas for Bank.

2. Key Projects: Digit Recognizer: September 2013 Digit recognizer is a classification problem – given input data (an image), the problem is to determine which class (a number from 0 to 9) it belongs to. The problem was initiated using CART(Classification and Regression Trees) considering 70% of the data to build a predictive model. The CART model resulted in about 60% accurate in recognizing the digits. Then improve the accuracy Random Forest model was used. The Random forest was able to recognize the digits with 95% accuracy. Tools Used: R with CART and randomForest packages. Social Media Analytics: December 2013 Extracted data using the Face-book API and applied graph analytics techniques to systematically understand various clusters in the social network. Node-XL was used to layout and compute the various graph centrality metrics to identify the most influential people in the social network. Regression analysis on a real estate agency’s dataset Feb 2014 Objective: To analyze the relationship between various parameters like the price of a house, size of a house Tool used: R Customer Segmentation: April 2014 Objective: To segment the customers on various basis variables and descriptor variables data collected through survey. Method: Cluster Analysis with and without discriminant analysis. Tools Used: MEXL Product Positioning: May 2014 Objective: To Position the product on the basis of the perceptual and preference data collected. Method: Run the position analysis on perceptual and preference data. Tools Used: MEXL Crime Analytics June 2014 Objective: To analyze the crime data from the year 2012 to understand the trends in crime in Chicago City. Method: Used Hierarchical and K-means Clustering Techniques using Spot-fire and XL Miner to analyze the Chicago crime data. Final reporting and visualization was done using tableau Econometric Data Analysis for identifying locations to open new Bank Branches in India with Indicus Analytics August 2014 In this data Analysis we attempt to analyze the economic data like demographics, population, GDP, Per-capita Income etc. and arrive at a dashboard visualization to mark locations as potential opportunities to open bank new branches. Tools Used: R and Tableau

3. Jatinder Bedi isb.jatin@gmail.com / 91-9717394374
Bank of America, BACI- Manager August 2010 - Present Roles and Responsibilities:
 Pursue Customer Profiling, Classification, Segmentation etc through statistical and Machine learning algorithms such as regression, clustering, decision tree etc.
 Work independently with business partners to understand requirements and provide analytical solutions that meet & exceed their expectations
 Initiate and Manage POC in the area of Data Science and Business Analytics
 Resource Planning and Team Management
 Understanding business problems and formulating analytical solutions/processes/actionable recommendations to Line of Business
 Conceptualizing strategic solutions and collaborating with stakeholders to develop clear business and measurement objectives
 Client Interaction and Building up the relationship to expand the project portfolio
 Determine root cause for data quality errors and make recommendations for long-term solutions
 Developed and enhanced existing processes that perform a comprehensive review of static data attributes, which support financial and regulatory reporting
 Working closely with the analytics group, Ensuring accuracy and integrity of Key Business elements within data sources by cross checking against upstream systems.
 Research and determine scope and complexity of issue so as to identify steps to fix issue.
 Analyze customer and instrument static data to identify inconsistencies and ensure integrity.
 Execute review parameters on a Daily & Weekly or Monthly basis and work with underlying reporting groups to address and correct identified exceptions.
Fiserv, India Feb 2008 - August 2010
 Worked as a Business Consultant for US banks like Melon, Fulton etc for new development and support in core banking solutions area
 Point of contact for clients for new enhancement or issues in core banking product deployed at client system.
Cap-Gemini, India – Associate Consultant July 2005 – Feb 2008
 Worked as a Consultant for HSBC & Discover bank in the area of credit card processing.
Project Management Methodologies: SDLC and AGILE
Domain: Deposit Products, Cards, Retail, Credit Risk, Trade life cycle, BASEL, Derivatives
ACHEIVEMENTS
 Lead the Innovation council group for new banking products and solutions,
 Lead the college and corporate cricket team as captain.
 Won the Gold award for California conversion in third quarter of 2013,
 Received center of excellence award in Bank of America.