Ryan Kilmartin is seeking a position in mathematical finance or as a financial analyst. He has a BS in Applied Mathematics and Economics from UMass Amherst and has strong analytical, quantitative, and communication skills. His relevant experience includes over 2 years as a Market Data Analyst for Interactive Data Corporation where he validates stock market data feeds and responds to customer issues, and 4 months as a Securities Lending Operations Specialist for Brown Brothers Harriman where he booked loan returns and corporate actions.
Sales and marketing teams in enterprises have too many leads to pursue but have limited time and budget at their disposal. To build a strong sales pipeline, marketers should target their prospects with the right content to engage their interests and nurture them before handing them off to their sales teams. Prioritizing the right deals for sales team requires effective strategies for scoring leads and accurately forecasting opportunities help them identify issues early to meet their targets. In this talk, we will look under the hood of the machine learning pipelines in Salesforce Einstein that help sales and marketing teams win more deals. Specifically, we'll look at the problem of scoring prospects based on their engagement so that marketers know when they are ready to buy. Next, we will share our journey on model interpretability in providing actionable insights with our predictions. Finally, we will describe how we generate scores and insights for all customers through a model tournament, so that enterprises and small businesses alike can reap the benefits of machine learning.
Many Mutual Funds firms are struggling to gain a better understanding of the Investors' needs and proactively build products that meet and exceed those needs. In this presentation we have attempted to highlight some of the inherent challenges, and provide a road map to a more clear insight.
To Further discuss this subject, please contact me at vatefi@gmail.com
Stephen Kenwright - HeroConf - Machine learning tech you could and should use...Edit
Edit's Marketing Director, Stephen Kenwright, takes you through a list of machine learning tech you could and should use during his #HeroConf London talk on 22/10/18.
Sales and marketing teams in enterprises have too many leads to pursue but have limited time and budget at their disposal. To build a strong sales pipeline, marketers should target their prospects with the right content to engage their interests and nurture them before handing them off to their sales teams. Prioritizing the right deals for sales team requires effective strategies for scoring leads and accurately forecasting opportunities help them identify issues early to meet their targets. In this talk, we will look under the hood of the machine learning pipelines in Salesforce Einstein that help sales and marketing teams win more deals. Specifically, we'll look at the problem of scoring prospects based on their engagement so that marketers know when they are ready to buy. Next, we will share our journey on model interpretability in providing actionable insights with our predictions. Finally, we will describe how we generate scores and insights for all customers through a model tournament, so that enterprises and small businesses alike can reap the benefits of machine learning.
Many Mutual Funds firms are struggling to gain a better understanding of the Investors' needs and proactively build products that meet and exceed those needs. In this presentation we have attempted to highlight some of the inherent challenges, and provide a road map to a more clear insight.
To Further discuss this subject, please contact me at vatefi@gmail.com
Stephen Kenwright - HeroConf - Machine learning tech you could and should use...Edit
Edit's Marketing Director, Stephen Kenwright, takes you through a list of machine learning tech you could and should use during his #HeroConf London talk on 22/10/18.
¿Existe una cultura del vino en España? En esta presentación planteo esta y otras cuestiones tales cómo el mercado interior e internacional, datos de bodegas en redes sociales y otras cuestiones interesantes
Accomplished, flexible, and results-driven Marketing Professional with 20+ years of experience and expertise in Performance Management, Client Retention, Organization, Communication, Multi-Tasking, Problem Solving, and Time Management. Skilled in all aspects of Email Marketing management, analyzed targeting and data optimization including email performance analytics, revenue planning and accountability, manage one employee. Proven track record of increasing click through and open rates, increasing customer loyalty and new accounts, and creating a team environment with merchants, web and html designers, and marketing assistant resulting to increase in on time productivity. Committed to quality service and able to perform responsibilities with professionalism & ethics even under extreme pressure while implementing established standards and procedures.
¿Existe una cultura del vino en España? En esta presentación planteo esta y otras cuestiones tales cómo el mercado interior e internacional, datos de bodegas en redes sociales y otras cuestiones interesantes
Accomplished, flexible, and results-driven Marketing Professional with 20+ years of experience and expertise in Performance Management, Client Retention, Organization, Communication, Multi-Tasking, Problem Solving, and Time Management. Skilled in all aspects of Email Marketing management, analyzed targeting and data optimization including email performance analytics, revenue planning and accountability, manage one employee. Proven track record of increasing click through and open rates, increasing customer loyalty and new accounts, and creating a team environment with merchants, web and html designers, and marketing assistant resulting to increase in on time productivity. Committed to quality service and able to perform responsibilities with professionalism & ethics even under extreme pressure while implementing established standards and procedures.
I am an Accounting and Operations Manager with an MBA in International Business. I am seeking a company that needs to use my talents for managing high volume AP, building positive relationships with vendors, and accurately tracking inventory which results in reduced expenses and higher profits. My professional references will attest to my dedication, dependability, and work ethic.
EDUCATION
1. Ryan Kilmartin
Six Elizabeth Street Amesbury, MA, 01913 (978) 388-7136 ryan.kilmartin@icloud.com
Objective
Analytical, energetic self-starter seeks a position in mathematical finance or as a financial analyst.
Profile
Excellent analytical, quantitative reasoning, writing and communication skills. Takes initiative; strong work
ethic; extremely detail-oriented and quality conscious. Creative problem-solver; rapid mastery of new skills.
Able to prioritize and manage multiple projects; thrives on collaboration in team environments and excels at
independent work.
Education
University of Massachusetts, Amherst, MA
BS, Double Major in Applied Mathematics and Economics, May 2012
Relevant Skills
Financial modeling, research on financial markets, time-series prediction, statistical probability, stochastic
modeling, optimization techniques for asset-liability matching.
Stock market data validation, excellent prioritization skills, extensive knowledge of FTP data transmissions,
data analysis techniques,in-depth knowledge of foreign and domestic markets.
Technical proficiency in Microsoft Office, FactSet, Thomson One; familiarity with Matlab, CVX, R, Stata, Java
Professional Experience
Market Data Analyst September 2013 – present
Interactive Data Corporation, Bedford,MA
Process FTP transmission of financial data, ensuring its accuracy, and timely delivery to internaldownstream
destinations. Investigate and troubleshoot issues related to transmission, content accuracy, and proper
recipient. Initiate and update alerts for discrepancies. Route data to appropriate databases. Monitor and validate
incoming stock market data feeds for hundreds of markets around the world. Consistently meet hundreds of
deadlines each week while still preserving superior accuracy and quality of data validation. Respond to
customer queries by investigating and resolving issues. Maintain contact with exchanges to resolve problems
regarding missing or suspect data of various asset types. Perform thorough and detailed analysis of process
improvement techniques to create a more productive, efficient workplace.
Securities Lending Operations Specialist (contract position) May 2013 – September 2013
Brown Brothers Harriman, Boston, MA
Book domestic and international loan returns for several major brokers. Use Hyperion and Business Objects to
generate daily management and breaksummary reports. Book corporate action entitlements for securities out
on loan. Maintain contact with counterparties to resolve discrepancies resulting from cancelled returns and
failing trades.Improve manualprocesses by developing new,creative ways to accomplish everyday tasks.
