Data Scientist Resume
0/5 (Submit Your Rating)
Weston, FL
TECHNICAL SKILLS:
Software and Programming Languages: Python (scikit - learn, mlxtend, numpy, scipy, pandas), SQL, Bandicoot, Tableau, Anaplan Watson Analytics, Minitab, SAS Analytics, Essbase, Hyperion, JD Edwards, Microsoft Excel, VBA
PROFESSIONAL EXPERIENCE:
Confidential, Weston, FL
Data Scientist
Responsibilities:
- Application of multiple linear regression, Neural Network, and Recurrent Neural Network methods for prescriptive modeling, resulting in decreased error margin of quarterly forecasts to within 3% (lowest 2.47%);
- Customer segmentations with Classification models utilizing SVM, decision tree, nearest neighbor, random forest, logistic regression, stochastic and gradient multilayer perceptron methodologies, and crossvalidation;
- Assessment of direction and size of predictor and target relationships with clustering/partitioning models with MeanShift, Agglomerative Clustering and DBSCAN methods;
- Hierarchical Cluster Analyses with Dendrograms, Scree plots (to determine number of clusters), and Community Detection analyses with Louvain modularity - maximization approach and Spectral Graph Partitioning;
- Application of Graph Theory concepts for Peer-Network analyses in Customer and Merchant centric behavioral network models and NLP towards optimization of classification models;
- Audit of legacy modeling systems and development of forward feed and non-linear prescriptive models, and of traditional ERP systems, in particular SQL, Essbase, Hyperion, Tableau, Watson Analytics, and Anaplan in market specific, regional, and international settings;
- Database design and development of protocols for critical database interfaces, and audit and standardization of protocols for delivery mechanisms and processes regarding ad-hoc and recurring reports;
- Data curation, feature normalization and transformation, anomaly detection, and development of parallel environments for the identification of data validation incidents;
- Enhanced Business Intelligence flexibility for Confidential ’ consumer proprietary credit cards in LatAm by overhauling the demand modeling, forecasting capabilities, and technological development of support activities. Strengthened associated control processes, ensuring reliable and uniform governing and reporting structures for customers and clients.
- Implemented Regional Operational Metrics projects to audit and align reporting processes platform;
- Initiated quality assurance processes, reducing reporting defects and saving total hours devoted to corporate operations.
