SUMMARY:

• Data Scientist wif more than 15 years of IT experience wif last 5 years in teh Predictive Analytics, Statistical Analysis, Machine Learning & Big Data Technologies in Fintech and e - commerce industries.
• Extensive working experience in Data Science Projects, Machine learning and Analytics tools like R, Python, Hardoop, Apache Spark, SQL, NoSQL on big data architectures like Teradata, Hadoop/Spark, AWS cloud,.
• Experience in implementing several flavors of statistical, machine learning and deep learning algorithms like Linear/Logistic Regression, Decision Trees, SVM, Random Forest, Bagging, Boosting, Clustering, Recommender Systems, Deep Learning, Neural Networks, Text Mining, NLP, Optimization etc.
• Wealth of technical project management experience in various e-commerce & financial companies and a strong track record for innovation that will set me apart from other applicants.
• Experience in applied R/SAS programming and/ SQL programming in complex RDBMS data structures.
• Achieved revenue, profit and business growth objectives wifin Confidential environment
• Certified Project Management Professional (PMP) wif over 15 years of Project Manager Experience offering strong analytical and implementation skills.
• Expertise in data analysis, technical project management, enterprise data management and IT database technician.
• Ability to translate complex business problems into discrete quantifiable components
• Solid experience in answering business questions through analytics. Proactively uncovers opportunities for improvement.
• Able to work independently or in a team on complex projects.

WORK EXPERIENCE:

Confidential, Austin, TX

Data Scientist & Project Manager

Responsibilities:

• Translating data driven insights combined wif domain knowledge into business stories and dashboards using traditional presentation tools as well as visualization tools like Tableau, Micro strategy Visual Insights, R Shiny, Qlikview etc.
• Conduct end-to-end data sourcing which includes defining business requirements wif peer functional teams, engaging SOR IT owners, obtaining data feeds for repository integration, integrating teh data at client level and implementing data quality best practices for that data,
• Develop subject matter expertise (SME) knowledge on specific data sources, and represent that SME knowledge as a service to peer functional teams for analytical projects,
• Conduct adhoc analytics support as directed in support of other functional team requests, when SME limitations or capacity are exceeded,
• Develop business and technical skill sets over time that are specific to peer functional teams in order to provide expanded capacity across broader teams.
• Participate in business partner and department meetings and lead requirements gathering, ideation, design thinking, prototyping, & interactive data sessions or providing advanced visualizations
• Interact wif vendor for enhancements or issues wif software
• Innovate and advance BI services (me.e. best in class tools) commensurate wif business partner or department needs
• Drive continuous improvements to keep BI architecture and solutions aligned wif current & future business needs
• Automated processes which reduced 50% of manual resources and doubled efficiency
• Successful in building relationships wif decision makers, vision and development of teh innovative IT products
• Featured in 100+ national and international media, Exclusive TV interviews during prime time
• Took teh company from concept through teh start > build > run > grow teh business
• Regression analysis, classification, K-Means Regression Models, Confidence Intervals, Clustering, Bayesian Methods, Decision \ Bayes Law, Principal Component Analysis, Trees, Random Forests, Support Vector \ (PCA), Cross-Validation, Analysis of variance, Machines, neural networks, Logistic \ ANOVA, Z-test, T-test, Hypothetical testing, Regression, Data Mining Methods, Factor \ Normal distribution\ Analysis, Cluster Analysis, recommendation systems

Confidential, New York City, New York

Credit Derivatives IT, Data Scientist, Vice President

Responsibilities:

• Worked on Projects involving implementation of intensive data science concepts covering Predictive analysis, Machine Learning, Statistics and Model Design. Applying data science advanced techniques to solve real world
• Understanding of treasury, credit and global markets products as well as service, fulfillment and operations for corporate and commercial clients
• Experience wif R, Java, Python, HTML, Business Intelligence Tools, Big Data tools (Hadoop, Spark, Kafka, AWS) to conduct teh analysis
• Ensure data quality throughout all stages of acquisition and processing, including data collection, ground truth generation, normalization and transformation
• Build and release models that elevate teh customer experience and track impact over time
• Collaborate wif colleagues from science, engineering and business backgrounds
• Present proposals and results in a clear manner backed by data and coupled wif actionable conclusions
• Responsible for enabling analysis through producing information products and is involved in teh research and development efforts. Traditional programming (SAS, SQL) and business intelligence (me.e. Spotfire, Tableau, or Qlik) experience
• Ability to support teh creation of sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research.
• Deployment of advanced techniques (e.g., text mining, statistical analysis, etc.) to deliver insights
• Possesses a degree in hard science or another heavy quantitative business or social discipline
• Work closely wif traders, quantitative & analytics group, risk, research group to integrate pricing and risk models for new and structured trades
• Design and develop fixed income trade blotter using C#, Windows forms, Infragistics UI components, SQL Server, TIBCO messaging and Click Once deployment strategy
• Develop and Migrate CDS trades and CDS spreads wif EM pricing sheets to strategic systems using Excel VBA & C#

Confidential, New York City, New Yor

Interest Rates Derivatives IT, AVP

Responsibilities:

• Interface directly wif traders and Quantitative & Analytics group to integrate pricing and risking models for new and structured trades
• Support emerging market desk for wide variety of products including Swaptions, Caps & Floors, Exotic Swaps, FX, Non-Deliverable Forwards (NDF) and Bonds
• One million cost savings by eliminating legacy systems and developing strategic souring of trade data using C#, SQL Server, Sybase, Oracle from various trade booking systems like Loan IQ, FX Wall Street, Global Bond Blotter, Vision for trade valuation and pricing
• Development and Migration of trading books from spread sheets to standardized strategic platforms Teh prime objective of teh system is teh creation of comprehensive end-of-day, intra-day, and real-time risk analysis to support strategic trading and risk management.
• Develop and architect three-tier web based application to manage employee investment plans using MS SQL, ASP, XML/XSL, HTML, VB Script, Java Script
• Led meetings between teh client and development team to review and resolve outstanding issues
• Hands on experience developing high-performance SQL server 2000 database including Analyzing query optimizer plans and Creating indexes for different query types

TECHNICAL SKILLS:

Languages: R, Python, SAS, TSQL, Excel VBA, C#, Java, C, PHP

Databases: SQL Server, MYSQL, Sybase, Oracle, NoSQL, Hardoop

Software Tools: Erwin, Microsoft Visio, DB Artisan

Version Control Systems: Sub Version, VSS, Rational Clear Case

Project Management: MS Project

Scripting: Java/VB Script, UNIX Shell Scripting

Web Tools: Macromedia MX, Adobe Photoshop, Apache Spark

Protocols: HTTP, TCP/IP, UDP, FTP, SMTP, TFTP

J2EE: Java Beans, Servlets, JDBC

Business Intelligence: Crystal Reports 7.0/10.0, Crystal Enterprise