Data Scientist Resume Santa Clara, CA - Hire IT People

TECHNICAL SKILLS:

Machine Learning: Classification (SVM, naive bayes, decision trees, random forest, nearest neighbor, logistic regression, stochastic and gradient multilayer perceptron), Gaussian and Polynomial kernel parameter optimization, Clustering.

Statistical Methods: time series, multivariate analysis, regression models, convex optimization, testing design and confidence intervals.

Software and Programming Languages: Python (numpy, scipy, pandas, scikit - learn, mlxtend, networkX, imblearn, bandicoot), SQL, Tableau, Anaplan, Watson Analytics, Minitab, SAS Analytics, Essbase, Hyperion, JD Edwards, Microsoft Excel, VBA.

PROFESSIONAL EXPERIENCE:

Confidential

Data Scientist, Santa Clara, CA

Responsibilities:

Algorithm design for the development of production ready ML models for behavioral and image recognition studies for Design For Manufacturing, application of ML methods in Finance, for modeling Billings and AR (98.7% accuracy in billings forecasting), and Operations for optimizing supply chains and project management, with Python in AWS.
Active participant in cloud vendor review.

Confidential

Data Scientist, Weston, FL

Responsibilities:

Analytics consultancy firm that works with Confidential 500 Financial Services clients on development of prescriptive models centered on consumer behavior studies.

Confidential

Data Scientist

Responsibilities:

Lead the design and build of production - ready statistical and machine-learning models for Design Enablement, behavioral studies via consumption, and life-cycle cross-sell optimization analytics and pricing/demand models towards the development of market segmentation optimization with Unsupervised, Supervised, and Prescriptive modeling with Python in AWS. Cross function leadership experience.

Confidential

Data Scientist

Responsibilities:

Development of Inference, Predictive, and Prescriptive models, resulting in decreased error margin of quarterly forecasts to within 3% (lowest 1.3% for Confidential );
Kmeans, Affinity Propagation, Spectral and Agglomerative Clustering, Hierarchical Cluster Analyses, Dendrograms, Scree plots and sub-community detection analyses with Louvain modularity-maximization approach, and One-Class SVM, Robust Covariance, Isolation Forest and specific anomaly detection models ;
Data curation, feature and density optimization;
Pattern and distribution matching, time series analysis, multivariate analysis, graph and cluster analysis and segmentation;
Text analytics to derive patterns and features, and sentiment analysis with Confidential methods, and application of Network Theory and Geospatial analysis with Graph Theory methods;
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;

Confidential

Data Scientist

Responsibilities:

Database design and development of protocols for critical database interfaces regarding ad-hoc and recurring efforts;

Confidential

Data Scientist

Responsibilities:

Enhanced Business Intelligence flexibility for Confidential ’ consumer proprietary credit cards in Confidential 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 O per Confidential ti on al Metri cs pr oj ects t o audit and align reporting processes pl Confidential tf or m;
Established strong partnerships with Confidential, Corporate Finance, Confidential & Confidential, IT developers, Operations, Marketing, and Compliance officers in various projects supporting business operations activities;

We provide IT Staff Augmentation Services!

Data Scientist Resume

Santa Clara, CA

We'd love your feedback!

Resume Categories

Client Services

Job Seekers

Visa Sponsorship