Understand business needs and create well defined analytical engagements to drive value.Work on analytics teams dedicated to project work providing measurable ROI to the company.Build best advanced analytics solutions around common business needs across the world.Convert statistical model information into business insights.Contribute to collaboration and awareness in global analytics community.Deep learning leveraging AI capabilities with TensorflowError and Outlier analysisData imputationUnstructured data/Contextual AnalysisMetric creation and evaluationRegression and other predictive analyticsTime Series ForecastingOptimizationProduction builds of predictive analytics

Supervise, lead and train a staff for daily campus operations. Formulated and guided research and analytical projects to increase work efficiency. • Designed and implemented surveys for data collection projects. • Entered, interpreted and analyzed survey data through statistical software such as Enterprise Guide and SAS Studio.• Forecasted time-series models for operational purposes; such as forecasting employee absences.• Developed reports to communicate with managers, directors, and colleagues on research and analytical findings• Hold meetings and trainings using visual tools; such as Microsoft PowerPoint

Sharpened big data analytics skills through a 12-week, intense hands-on training. Manipulated and analyzed real-world data in education, finance, retail, insurance, supply-chain operations, and general-purpose areas. • Communicated with the Hadoop Ecosystem to Load and unload data, access and manipulate structured and unstructured data, create schemas/metadata and tables through Hive and MapReduce.• Prepared, cleansed and standardized data using DataFlux technology, along with implementing business rules and monitoring notes to data for modeling.• Trained in communication with relational databases and performance platforms such as Oracle, Teradata, SAS LASR and SAS High-Performance grids.• Utilized Time Series Modeling and Forecasting and model statistics to evaluate forecast accuracy, such as Transactional Data Accumulation and Time Binning, Exponential Smoothing (ESM), Integrated Moving Average with Exogenous Variables (ARIMAX), Unobserved Components (UCM), and Survival Analysis • Mined, trained, validated and scored data for predictive modeling. Negotiated algorithms such as Neural Networks, linear and nonlinear regression, Decision Trees, Randomwoods, Gradient Boosting, Support Vector Data Machine, and Ensembles. • Launched optimization models to determine the most efficient operational procedures. Performed envelopment analysis to discover efficiency and measure production levels.• Produced market-based models, such as: segment analysis, market-basket analysis, sequence analysis, cluster analysis, risk analysis, fraud analysis, Customer Profiling, social media analytics, and web site analytics.• Deployed text mining and document analysis, such as information retrieval, parsing and quantifying text, forensic linguistics using stylometry techniques, latent semantic analysis, and sentiment analysis.• Created Automatic Visualization Charts, Advanced Visualizations and Enhanced Visualizations with Analytics

Develop Strategic plans for future needs of organizationImplement Program Evaluations to assess productivity and efficiencyCollaborate with community leaders and stakeholdersAssemble teams to address issues or projectsAddress internal stakeholders through various forms of communicationTrain volunteersProvide feedback to directors on program and policy improvementDevelop budgets and address budgetary concerns