SAS
An accomplished and dynamic Data Scientist with a broad skill set and wide range of experience, including financial markets, statistics, business, machine learning, and programming. Significant experience in large database creation, management, and analysis. Adept at team and project management, with experiences in leading projects and teams in multi-cultural environments in underwriting, insurance, finance, and hospitality. Passionate about biostatistics and the field of Data Science and creating statistical significance models hidden in data. Proven technical and business expertise in transforming unstructured data into scalable, highly resilient, and successful solutions. Impact-driven data and technology consultant and with extensive experience in managing technology teams, including budgets, networks, and web and database developments. Experienced in cloud technology. Looking for an opportunity in a dynamic organization where my experience will be fully utilized.
- Developed and refined hypotheses, leveraging data aggregation, statistical analysis, and AI/ML models to answer complex business problems facing the health and nutrition science market.
- Systematically organized work efforts and modularized enterprise dashboard projects into manageable parts which enabled cross-functional teams to expedite deliverables and improve QC processes.
- Introduced AI solutions, shaped strategic planning, and delivered recommendations that bolstered operational performance.
- Translated complex data science projects into visually appealing and coherent presentations for technical and nontechnical stakeholders.
- Forecasted outcomes and KPIs based, tailored to client goals, identified areas of improvement, and recommended optimization efforts.
- Designed algorithms using various data engineering, including R, SAS, Python, SQL, Ruby, Access, and Excel.
- Creating data visualizations using Tableau, Visio, Lucid charts, Power BI, R/Markdown, infographics and PowerPoint.
- Implemented management information systems for a wide variety of clients problems and industries.
- Led data management and optimization work streams for enterprise-wide transformation programs.
- Web development, maintenance, and technology consulting for political, insurance, construction and mlm industries.
- NetSuite Suite -Commerce implementation as part of an ERP deployment team for a manufacturing client.
- Developed predictive analysis based on biomarkers to predict effectiveness of clinical treatment.
- Staffed and managed a team for the technology department to fulfill organization-wide technology needs.
- Redesigned entire data center: consolidated 26 independent servers into a 2-tier Blade Server Rack design.
- Project management from design to deployment for multiple departments, taking obsolete technology to more current and efficient technologies.
- Facilitated change management processes and procedures to maximize system transformations including leading organization-wide technology training for staff and volunteers.
- Managed I.T. and Telephony contractors and vendors and establishing vested partnerships and relationships; negotiated technology deals.
- Provided Network management for all kiosks, LAN/WAN and remote access.
- Monitored environment technology security to mitigate risk from threats like hacking and malware.
- Installed and maintained all Enterprise Applications Directory Services, Email, and communication tools.
- Scheduled and managed disaster recovery, backup processes and procedures.
- Data consolidation into new software management tool (100s of thousands of records), data cleansing and conversion.
- Designed, developed, and delivered an online-donation tool, increasing online donations from 5k to 150k/month in the first 3 months.
- Brought the first online televised programming to the organization, for worldwide viewing, which also increasing online donations.
- I.T. Strategist for information technology and data analytic needs.
- CRISP-DM methodology and Data Wrangling.
- Subletting data from multiple datasets and or from small to large datasets (multi -millions).
- Organizing and presenting data for different audiences.
- Integrate analytical techniques to establish financial priorities for company stakeholders.
- Definite ability to use statistical methods to solve health problems.
- Created a predictive disease-based model for positive health outcomes.
- Model building, data mining, data visualizations, machine learning, GIS, AWS, SQL, APIs.
- Healthcare analytics and manipulation: transforming health data for decision-making.
- Probability and hypothesis testing to reduce false positives and false negatives.
- Writing research articles to communication analysis results and customized visualizations.