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Dilip Thimiri

Dilip Thimiri

Data Analyst

ICE

Technologies

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Python Data Science Toolbox (Part 1)

My Work Experience

Where I've interned and worked during my career.

Capgemini - Morgan Stanley | Feb 2015 - Jul 2018

Consultant / Data Analyst - Tech Lead

AML Screenings: Worked on all the aspects of AML, OFAC screenings, NNS screenings, SARS screenings, and Transactions Monitoring Engine using sophisticated Statistical modules to identify the inbound Transactions in suspicion. Worked extensively in the Global Trade Reporting systems (GTRS) for various asset classes. Client Risk Ranking and Enterprise Client Risk Ranking: In order to facilitate the clients during the onboarding process the customers are Risk Scored based on the historical data and the party-to-party and party-to-account relationships. Actively involved in all phases of the project, analyzing the functional requirements, Data Analysis, Test planning, and complete End-to-End testing.
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Capgemini - Nomura | Aug 2014 - Jan 2015

Consultant / Data Analyst

• Analysis and review of business & technical requirements, QA Test Planning, and Test Execution by working closely with the Development team, BA, and IT Project Manager • Co-ordination with the off-shore team to explain the work request, resolve the issues to system understanding, review the detailed test cases, test results, defects, and resolutions • Test environment setup, unit test result validation, test execution • Extensively used SQL, and PL-SQL queries for data validation and backend testing • Production deployment testing and validation

Terra Technology / E2 Open | Jun 2012 - Jun 2014

Consultant / Data Analyst

• Consulted for Unilever (UL Cordillera), greatly improving their demand forecasts and reducing inventory levels • Improved sales forecast accuracy by 40% at Unilever North America, leading to projected savings of $20 M annually in improved supply and demand planning • Created forecasting model using multiple demand inputs, such as customer orders and downstream retailer POS data • Analyzed business process to design and implement the automated, daily forecast generation and reporting process fully integrated with Sales and Operations planning • Provided support for the Benchmarking Study on demand forecasting for the European Region

Digipulse Technologies Inc. | Apr 2011 - May 2012

Consultant

• Fraud Analysis: Successfully improved fraud rates by 50% by managing 10% of the customer population. Optimized and managed fraud transactions of various credit card issuers. • Retention Modeling: Built data mining models that scored customers that have the highest probabilities to be retained for a certain period. Models were built using Classification techniques like Boosted Trees, SVM’s, and K-Means Clustering • Offer Optimization: Built models to identify the best price points to sell products to manage attrition, and risk and maintain healthy revenues

Western Michigan University | Aug 2009 - Mar 2011

Graduate Teaching Assistant

• Worked as a graduate assistant and taught business statistics (Data Analysis using parametric methods) to undergraduate students. Leveraged tools such as SAS, R, and iClick to teach students with more visual examples and significantly improved class participation

Marlabs Inc | May 2007 - Apr 2009

System Analyst

N/A

My Education

Take a look at my formal education

MS in Statistics, StatisticsWestern Michigan University | 2012
MS in Engineering, Electrical and Electronics EngineeringWestern Michigan University | 2006
Bachelor of Engineering - BE, Electrical and Electronics EngineeringSri Venkateswara College of Engineering | 2004

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