Ramesh Murthy Email & Phone Number
@cox.net
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Who is Ramesh Murthy? Overview
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Ramesh Murthy is listed as Credit Risk Analytic Consultant at Wells Fargo, Dealer Services, based in Chandler, Arizona, United States. AeroLeads shows a work email signal at cox.net and a matched LinkedIn profile for Ramesh Murthy.
Ramesh Murthy previously worked as VP-Quantitative Modeling - Risk Modeling at Bank Of America and VP- Senior Mkt. Info. Consultant CP at Bank Of America. Ramesh Murthy holds Doctorate, Forest Eco-Physiology from North Carolina State University.
Email format at Wells Fargo, Dealer Services
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About Ramesh Murthy
Results oriented leader, professional statistician with progressively significant experience in applied econometrics, designing, developing, and managing projects. 10+ years of American Express and Bank of America experience in decision science/ modeling and experimental designs, customer analytics, reporting, developing and evaluating scorecards & metrics, finance, and audit compliance. Experienced modeler and SAS programmer familiar with building designing and models, automating, and executing performance checks on models for compliance. Adept at collaborating and communicating with auditors, actuarial reviewers, and senior management for compliance purposes. Personable and persuasive oral, written, and online communicator capable of reaching varied audiences. Excellent soft skills in hiring, managing and developing people. Experienced in putting statistics to business use and managing technical people. Strongest suit is in identifying and analyzing complex problems systematically, and proposing accurate solutions in a timely manner to facilitate informed decision- making.Univariate, multivariate analysis and establishing correlations. Simple, multiple, non-linear, logistic, and survival / recurrent event models; Data Mining & Resolving Data problems: manipulation & utilization of large datasets (>70G); Significant years of experience in SAS, SAS-EG, Familiar with SAS-EM and SQL-database pulls; Knowledgeable in forecasting and time-series analysis, statistical experimental designs/ANOVA; Consistently delivered multiple high quality, high visibility analyses.Working motto:Learn everything you can, anytime you can, from anyone you can - there will always come a time when you will be grateful you did - Sarah CaldwellI am always doing that which I cannot do, in order that I may learn how to do it – Pablo Picasso
Listed skills include Analytics, Data Mining, Sas, Research, and 21 others.
Ramesh Murthy's current company
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Ramesh Murthy work experience
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Vp-Quantitative Modeling - Risk Modeling
• Developed and tested new methodology for adverse actioning • Recoded and Modularized existing risk scoring code - reduced run time by 80% • Validated data for several models in preparation of data warehouse conversions
Vp- Senior Mkt. Info. Consultant Cp
Standardization of Key Performance Metrics
Vp-Quantitative Modeling - Credit Line Modeling
Built several models for Small Business Credit Line Increase and Decrease, Reactive and Proactive Credit Line Increase, Credit Builder, and Transaction Authorizations. Worked extensively with Model Governance towards adopting newer methodologies. • Co-authored a patent for sensitivity analysis applicable to all models. • Several educational presentations and simulations to Model Governance towards using contextual performance metrics.
Vp Quantitative Standards And Compliance
Quantitative Standards compiles the best quantitative practices for the Bank of America, bringing together information from all quantitative areas across the bank, integrating different practices, methodologies, and standards to provide a framework which will be applicable to analyses, model and strategy development, and performance assessment in all areas of the bank. These standards are meant to impact and potentially improve each stage of these critical and widely varying processes.
Statistical Data Analyst
EARLY WARNING SERVICES, Scottsdale, AZ 2010Statistical ConsultantDelivered modeling/analytics to improve discrimination of credit and fraud default behavior among credit card accounts for major banks. • Linked DDA transaction and fraud activity with credit card activity to determine feasibility of using DDA activity to detect future default behavior in the credit card world.• Model the probability of checks being returned (Scoring inquiry files from over 56 banks resulted in an approximate savings of $3 bill for a single day).• Data mining: Responsible for data extraction, pre-processing of data, segmentation, variable selection, building, and validating statistical models.• Comparative study of probability of charge-off using non-statistical relationship networking software versus standard statistical analyses.• Determining distribution of ACH entities by merging with Thompson directory to understand fraud behavior in smaller branch banks.• Segmentation of AOA data for joint DDA accounts by relationship and age class to determine propensity of fraud in any one segment.
Manager Econometrician/Statistician
Analytics, statistical models, loyalty membership rewards program for International Markets (UK, Germany, France, Sweden, Italy, Spain, Canada, Mexico, Argentina, Hong Kong, Taiwan, Australia, New Zealand, India, Singapore, Thailand, Japan)* Model (statistical/actuarial) development, calibration, and validation, requiring application of economic, statistical, business principles, as well as out-of -the box approaches.* Solving Adhoc problems requiring data mining of large datasets. * Stongest suit lies in solving complex problems in a systematic manner and presenting results to a lay audience and reccommending strategic solutions.* Scorecarding statistical models for redemption in loyalty programs.15+ years of experience in:o Designing studies using statistical experimental designs and analysis of variance.o Data mining and resolving data problems such as missing data, multicollinearity and heteroskadasticity, and exploring assumptions underlying linear regression models.o Developing and analyzing univariate and multivariate, linear and non-linear regression models and establishing correlations.o Predictive modeling using simple, multiple and non-linear regressions.o Familiar with Categorical data analyses.o Authored two peer reviewed articles on use of Repeated measures analyses and diagnostic checking, model selection and specification testing especially for non-linear regression models in biology.
Research Scientist
Researched effects of carbon dioxide on the physiology of cottonwood trees within the context of global climate change.o Managed, led and set yearly priorities, goals and targets for a large biological research facility for 5 years with an annual budget of 50 to 550K dollars.o Designed, strategically planned, organized, and conducted several scientific research projects, several of them simultaneously within tight deadlines and monetary limitations.o Promoted and established numerous collaborative key scientific research projects involving national and international scientists.o 15+ years of experience in creating informational presentations. Skilled at consolidating detailed information into a highly concise, organized format, both oral and written. Comfortable in communicating content and results effectively. o Authored 25+ peer-reviewed national and international scientific articles.o Presented research results both nationally and internationally in over 20 venues.o Served as ad hoc reviewer for several leading scientific journals.o Interacted and worked with groups at all levels: staff, public, governmental, private agencies, industry, and environmental agencies.o Mentored students and interns on various interdisciplinary projects.o Represented Columbia University’s Biosphere 2 Center in the following media presentations o A Second Act For Biosphere 2, Chronicle of Higher Education, February 2000. o Biosphere 2: Turning an Experiment into a Research Station, BioScience, March 2002.o Frontiers of Science by Alan Alda, Public Broadcasting Service.o KAET TV, KUAT TV, and Japanese TV
Research Associate
Researched and established techniques for mass production of rooting cuttings of loblolly pine.
Ramesh Murthy education
Doctorate, Forest Eco-Physiology
Masters, Eco-Physiology
Bachelor Of Science, Agriculture
Frequently asked questions about Ramesh Murthy
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What company does Ramesh Murthy work for?
Ramesh Murthy works for Wells Fargo, Dealer Services.
What is Ramesh Murthy's role at Wells Fargo, Dealer Services?
Ramesh Murthy is listed as Credit Risk Analytic Consultant at Wells Fargo, Dealer Services.
What is Ramesh Murthy's email address?
AeroLeads has found 1 work email signal at @cox.net for Ramesh Murthy at Wells Fargo, Dealer Services.
Where is Ramesh Murthy based?
Ramesh Murthy is based in Chandler, Arizona, United States while working with Wells Fargo, Dealer Services.
What companies has Ramesh Murthy worked for?
Ramesh Murthy has worked for Wells Fargo, Dealer Services, Bank Of America, Early Warning Services, American Express, and Columbia University - Lamont -Doherty Earth Observatory.
How can I contact Ramesh Murthy?
You can use AeroLeads to view verified contact signals for Ramesh Murthy at Wells Fargo, Dealer Services, including work email, phone, and LinkedIn data when available.
What schools did Ramesh Murthy attend?
Ramesh Murthy holds Doctorate, Forest Eco-Physiology from North Carolina State University.
What skills is Ramesh Murthy known for?
Ramesh Murthy is listed with skills including Analytics, Data Mining, Sas, Research, Forecasting, Segmentation, Time Series Analysis, and Credit Cards.
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