PROFESIONAL SUMMARY:

Experienced data scientist/ manager with broad spectrum of domain expertise, technical knowledge, and proven success in leveraging data into actionable insights.

CORE SKILLS:

• Strategic Planning
• Business Solutions
• Budgeting
• Vendor Relations
• Project Management
• Capital Planning
• Team Leadership
• Contract Negotiations
• Budgeting

TECHNICAL SKILLS:

• MATLAB
• SQL - SERVER
• ASP.NET
• R
• MYSQL
• AWS
• PYTHON
• AZURE
• JSON
• .NET C#
• SSIS-BI
• J QUERY
• ORIENTDB
• GRETL
• AJAX
• SQL SERVER/ORACLE
• WEKA
• JAVA SCRIPT
• TABLEAU
• GIT
• SAS
• DATABRICKS
• TFS
• HTML
• Agile/SCRUM
• Waterfall
• VISUAL BASIC
• NINJATRADER
• SPARK
• OCTAVE

PROFESSIONAL EXPERIENCE:

SR. DATA SCIENCE AND COMPUTERVISION LEAD

Confidential, Miami, Fl

Responsibilities:

• Analyze source data and data flows, working with structured and unstructured data.
• Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends.
• Understand business needs and apply AI/Machine Learning technology to solve real-world problems.
• Use analytical rigor and statistical methods to analyze large amounts of data, culling actionable insights using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and datamining.
• Analyze and visualize diverse sources of data, interpret results in the business context, and report results clearly and concisely.
• Execute both descriptive and ad hoc requests in a timely manner. Experience the ability to work with product and enterprise teams via both Agile and Waterfall Methodologies.
• Communicate and present models to business customers and executives.
• Works collaboratively with different parts of our business and able to present result in a clear and concise manner.
• Promote a strong sense of analytics culture based on data facts, teamwork and contribution and mentor others in the use of AI/Machine Learning.
• Track effectiveness of data models, incremental sales and ROI per selection, interpret data models and provide insights to management.
• Support research related to customer based analytical practice and develop communications for management and strategies for building institutional knowledge.
• Develop and maintain demand forecasting model (time series, regression segmentation models etc.). Implement non-linear regression models to develop price elasticity models. Knowledge of linear and integer optimizations, and able to integrate demand forecasting and price elasticity to develop revenue optimization models. Design and develop models and algorithms that drive performance and provide insights, from prototyping to production deployment, across key areas of interest. Integrate with external data sources to discover interesting trends. Design rich data visualizations to communicate complex ideas to internal and external teams. Design and manage data QA and validation using automation and best practices. Collaborate directly with teams/individuals across the company to facilitate the design, research, development, and delivery of data statistics, models and client deliverables. Owns and manages of the various components of Data Science Life cycle: Data Wrangling, Feature Engineering, Data Visualization (discovery), Model Generation, Implementation and Maintenance. Relationship with other analytical teams in the company and IT to design and implement analytical projects. Identify business needs, translate business needs into technical requirements, and implement analytical models to meet project deadlines. Continuously seek out opportunities to further develop our analytical, engineering, statistical, etc.

SR DATA SCIENTIST & SOFTWARE ENGINEER

Confidential, Miramar, FL

Responsibilities:

• Risk prediction modeling for credit cards and check transactions (Regression Models, Random Forest and Classification Models (Support Vector Machine, Kernel SVM, Random Forest Classification, XGBoost).
• Feature engineering and data mining for risk prediction and fraud detection. Extraction of business rules applied to fraud detection.
• ETL and pipeline design, data cleaning, preprocessing and analysis.
• Software and website development for credit card payment processing and check guarantee industry.
• Payment processing, RDM (Remote deposit machine) integration, Credit card solutions. Money moving solutions. Check, Credit Card and Driver License scanners and readers integration and drivers development.
• Software development for check MICR reading and recognition.
• Web site security policies implementation, PCI.
• Software development to integrate readers and payment processing solutions for different industries including automotive, furniture, building materials, equipment, trucking, retail, manufacturing and distribution.
• Software development for Check Guarantee Services, Electronic Bill Presentment and Payment, Remote Deposit Capture with Guarantee, Credit Card Processing, ACH Processing with Guarantee and Customized Online Bill Payments.

Used tools: Studio .Net(C#, Visual Basic, ASP. Net, ASP Classic), JAVA Script, Visual Basic Script, MySQL, SQL Server 2012, SQL Server 2012, SQL Server 2008, SQL Server 2005, Windows Server 2005, Windows Server 2008.

IT MANAGER AND SR DATA SCIENTIST

Confidential, Miami, FL

Responsibilities:

• IT manager and quantitative trading developer to automatically operate financial markets.
• Oversee all IT functions including data center management, vendor relationships, technical support, application development, financial monitoring and disaster recovery planning.
• Manage $3M operating budget and direct activities of 10 staff.
• Challenged to improve stocks, futures and options productivity and reduce operations and commission costs through improved uses of quantitative and high frequency technology models based on adaptive learning algorithms.
• Utilized agile methodologies and collaborated with customer department managers and brokers to analyze and document process and system workflows.
• Authored plan to improve software development process, consolidate/upgrade servers and establish consistent hardware/software standards to eliminate unstable, highly mixed operating environment.
• Hands on Matlab, R and Python machine learning adaptive models creation using Genetic algorithms, Neural Networks, Regression Models, Random Forest and Classification Models (Support Vector Machine, Kernel SVM, Random Forest Classification, XGBoost). ETL, data cleaning, preprocessing and analysis.
• Successfully developed a quantitative data analysis and automatic high frequency trading systems.
• Transitioned firm to employ reusable object oriented programming modules for applications development.
• Slashed manual processes with resultant reductions in overhead costs.
• Increased the trading ratio in correct trades.
• Drastically reduced commissions and overnight fees.
• Increased trading PnL.

Platforms: NinjaTrader, Trade Station and Meta Trader.

Used tools: Matlab, R, python, .Net(C#, C++), GRETL, JAVA Script, Visual Basic Script, SQL Server.

PROJECT MANAGER AND SR DATA SCIENTIST

Confidential, Miami, FL

Responsibilities:

• Reporting to the CEO, recruited to manage IT and develop an add server for pc and mobile platforms for the startup company. Oversee IT functions including business process definition, data bases design, data center management, collocation, other industry add servers integration, technical support, application development and buck up and disaster recovery planning.
• Challenged to improve the software capabilities and integrate new functions and innovations to provide leadership to the platform. Aligned IT resources with business units to develop business expertise and improve quality and responsiveness in support of daily high incoming data flow.
• Qualified new business opportunities, and oversaw the design and implementation of software for new publishers/advertisers to send/receive adds and report revenues from clients' websites adds monetizing.
• Online learning methodologies to improve the click thru rate income reducing the investment cost by data science techniques applying Upper Confidence Bound (UCB) and Thompson Sampling algorithms.
• Improved campaigns results by analyzing big data coming from website operation statistics, targeting ads to correct publishers and advertisers. Analyzed and developed targeting tools. Market campaigns research and segmentation and patterns identification by using Data Science techniques and machine learning.
• Established Zoho as CRM.
• Led architecture design strategies and promoted Visual Studio .Net(C#, Visual Basic, ASP. Net, JSON, Crystal Reports, JAVA Script, Visual Basic Script, SQL Server 2008, Ruby on rails, XML, Python.

IT/CONSULTANCY MANAGER

Confidential

Responsibilities:

• Managed staff of 20, responsible for new clients’ business systems development, data modeling and work flow modeling.
• Represented the company throughout the entire sales process to ensure that internal IT capabilities were communicated effectively and implemented according to company standards.
• Evaluated profitability and viability of new business opportunities presented by sales department.
• Represented Banesto Finance Corporation consultancy and development department as outsourcing manager.
• Managed projects, consultancy, analysis, engineering and reverse engineering, data flow analysis and business intelligence in different industries:
• Managed design, development and implementation of corporative software and solutions.
• Oversee IT functions including business process definition, data bases design, data center management, collocation, other industry add servers integration, technical support, application development and buck up and disaster recovery planning.
• Audience data analysis and advertising targeting.