Data Science Consulting Resume
New York, NY
OBJECTIVE:
- Looking for a great opportunity to leverage my leadership insight, industry experience and technical expertise.
TECHNICAL SKILLS
TECHNICAL SKILLS: UNIX, Linux, AS400, C, C++, Visual Basic, VBA, Java, JavaScript, COBOL, HTML, Aster, Cassandra, Hbase and SQL
SOFTWARE SKILLS: Business Object, Teradata, Brio Intelligence, Cognos, Informatica, Spotfire, Tableau, Qlikview, Hadoop, Dbart, SAS, Hive, Python, Hanna, KDB, Scoop, Flume, Pig, Palantir Metropolis & Financial Strategy
PERSONAL: Golf, Leisure Travel, Community Council, CUP Member & Management of personal investment portfolio
PROFESSIONAL EXPERIENCE
Confidential, New York, NY
Data Science Consulting
Responsibilities:
- Conduct analytical research on companies and equities using Cap IQ, Bloomberg, Reuters, FactSet data for forming strategies macro - economic modeling, and investment strategy to generate Alpha and hedging investments.
- Developed the digital strategies for clients on how we engage with their client using Big Data technology.
- Develop Data Scientist investment solution models and implement strategies for Financial Risk Controls, Financial Modeling, Consumer, Compliance, Commercial & Investment Banking, FX, Wholesale Banking, Retail Banking, Treasury Services, Asset Management, Alternative Investments, Credit Cards, Credit Market sector to mitigate risk, and generate revenue growth.
- Advised firms CIO, CTO, Senior Management of technology innovations, Big Data Engineering, & solution for business challenges.
- Quantitative Data Scientist research on firms structure/un-structure NoSQL Big Data Hadoop, Greenblum environment for predictive/forecasting models, statistical arbitrage, Machine Learning, and Heuristic analysis to generate revenue or minimized risk using VBA, R, C++, Python, Hive, Ab Initio, Pig, SAS, ETL, Palantir, Platfora, Ab Initio, Tableau, Qlikview, Spotfire & SQL.
- Advised firms on strategy and compliance models to comply with Bank Secrecy Act (BSA), OFAC, CCAR, Stress Testing, Basel II & III, and algorithm for identifying claims of Anti Money Laundering, Sanctions List and Regulations use for SAR.
- Advise and develop financial firm’s models and strategies for evaluating investments, Loans & Revenue Forecasting models, Capital Expenditures, Economic Capital, Operational, Credit, Market risk, and Activity Base Costing for CIO, COO and MDs.
- Manage large scale banking business transformation initiatives focused on delivering strategic business operation process improvement. Developed model strategy for un-structure NLP data research for transformation to structure data.
- Responsible for engaging with executive leaders on business solution initiatives andnegotiating and selling consulting projects.
- Lead a large team and manage a multimillion portfolio for the firm.
Confidential, South Orange, NJ
Vice President
Responsibilities:
- Performed due diligence and analysis of private equity infrastructure and investment managers, with the aim of managing diversified multi-manager portfolios, covering a broad range of subsectors.
- Participate in fund raising in North America; meet with clients, consultants and communicate investment strategies and value opportunities for investment.
- Execute detailed qualitative and quantitative analysis as part of a due diligence process for primary and secondary investment opportunities
- Designed and developed financial models, investment summaries, expected return scenarios of Private Equity transactions to private clients.
- Managed compliance for investment guidelines, coordinating manager meetings and managing investment reporting and documentation.
- Gather intelligence from public sources, piece together information, draw clear and concise conclusions that result in a strategy or recommendation for pursuing new business opportunity developed
- Due diligence and selection of investment managers, preparation of investment recommendations, and help develop and implement investment strategies.
- Orchestrate the business deal presentation for RFP, deal recommendation pricing, and investment opportunities.
Confidential, Parsippany, NJ
Senior Data Scientist
Responsibilities:
- Developed solutions for analytical research, predictive analytics on structure and unstructured data environments
- Developed business strategies on how we increase digital platform usage with Car Rental, Hospitality, and Travel customers to increase business revenue.
- Designed Machine Learning models to understand the current and future behavior of Credit Card, Hotel, Car Rental and Travel customers.
- Developed business profile of the industry for the CIO, COO & CEO of turning point trends that provide key insight for implementing critical business decision.
- Researched structure/un-structure data of Travel, Hotels, Car Rental and Credit Card using Brio, ETL, SAS, Teradata, SQL & VBA.
- Advised CFO and Senior Management of revenue trends and forecasting model Online Travel, Hotels & Car Rental.
- Developed the business intelligent visualization to analyzed data for reporting to Senior Managers of the firm.
- Orchestrated strategies to increase Online Travel, Hotels & Car Rental digital platform visits, sales and revenue.
- Developed strategy for data architecture, data model and transformation of enterprise data warehouse.
Confidential, Long Island City, NY
Consultant/Assistant
Responsibilities:
- Managed $10 mm weekly credit portfolio and developed strategy to increase credit card holder and market share
- Developed business digital strategies on how we engage with our acquisition Credit Card customers.
- Developed strategy to understand credit card consumer behavior, & identify opportunities for new initiatives.
- Analyzed mortgage portfolio to identify the best pool of mortgages to leverage off firm’s portfolio.
- Developed compliance risk strategy for the credit card portfolio fraud and AML using SQL, SAS & VBA.
- Managed vendor Acxiom, and maintained client relationships.
