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Senior Data Scientist Resume

Jersey City Nj Hebron, KY

EXPERIENCE SUMMARY:

  • Over ten years of experience in Software Development and expert in Business Intelligence, gathering Business Requirements, Analysis, Design, Data Modeling, Development, Implementations and Testing of Data Warehouse/Data Mart and Database business systems applications.
  • Worked on Data Science Strategy, Roadmap, Citizen data scientist position paper, and advanced analytics tools evaluation criteria.
  • Experience in machine learning, constrained optimization (minimization and maximization problems), Big Data Analytics, Business Intelligence, data warehousing, Oracle EBS Applications, and overall IT service management across industries.
  • Expertise in complete life cycle of Design, Development, Maintenance and Documentation of various functionalities of Data Warehouses and Data Marts.
  • Experience in delivering practical and actionable insights to improve decision making, product quality, minimize warranty claims, maximize compliance, minimize risks, and reduce maintenance costs for manufacturing plants using predictive maintenance.
  • Excellent knowledge of Hadoop architecture and ecosystem components including HDFS, MapReduce and Hive.

SKILLS INVENTORY:

  • Machine Learning
  • Market Basket Analysis
  • CRISP - DM/PMML
  • Text Mining (NLP)
  • Shiny/Time Series
  • Feature Engineering
  • Dimensionality Reduction
  • Discrete Optimization
  • In-database Analytics
  • Genetic Programming
  • Scrum Master
  • Project Cost, Scope, and Schedule
  • Project Planning
  • Project Risk Management
  • Project Budgeting
  • Risk Strategies
  • Critical Path Management

SKILL:

Big Data Technology: Hadoop Ecosystem, HDFS, MapReduce, NoSQL, Hive, Pig, HBase, Exalytics/Exadata, SqoopR: Performance Analytics, Predictive Modeling, Ensembles, Shiny, NLP - Texting Mining

Classification Methods: Decision Trees, K-Nearest Neighbor, Naive Bayes Classifier, Support Vector Machines, Neural Networks

Regression Methods: Linear, Multiple, Logistic Regression, Gamma Regression, Random Forest

Unsupervised Machine Learning: K-Means Clustering, PCA, Hierarchical Clustering, Apriori Algorithm (Association Rules)

TimeSeries Modeling:: AR, ARMA, GARCH, Exponential Smoothing

Statistical Analysis:: Hypothesis Testing, Experiment Design, ANOVA, ANCOVA, MADlib, Mahout, Azure ML, Pandas, Numpy, Scipy

Delivered Use Cases: Predictive Maintenance, Text Mining, Anomaly Detection, Market Basket Analysis, and Process Optimizations.

Languages: PL/SQL, R, Python

WORK EXPERIENCE:

Confidential, Jersey City, NJ / Hebron, KY

Senior Data Scientist

Responsibilities:

  • Developed quarterly automated rate indication reports to monitor price adequacy in over 50 programs.
  • Processed, cleaned and verified the integrity of data.
  • Supported team leads in the development and execution of commercial data strategy including alignment with franchises, commercial data and analytic partners, and other business units.
  • Developed communication plans to update key stakeholders on commercial data strategy and execution. Collaborated with business and engineering teams across the company to translate business problems into data-driven solutions, writing reusable code to transform raw data into actionable insight.
  • Monitored performance of existing risk functionality (scorecards, forecasts, models, and strategies). Identified enhanced functionality and recommended improvements to leverage data science or analytics in credit risk management
  • Provided statutory rate indications and filing support for customers.
  • Measured, managed and analyzed marketing performance to maximize its effectiveness and optimize return on investment. This improved the companies marketing analytics.
  • Produced quarterly reserving analyses for personal lines unit.
  • Translated unstructured business problems into Machine Learning frameworks.
  • Implementing Machine Learning algorithms to leverage granular sequential data.
  • Hands-on experience and proficiency in SQL, R, and Python.
  • Applied experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM.
  • Designed built and tested machine learning algorithms for the analysis of electrocardiogram (ECG) signal data.
  • Performed exploratory data analysis and visualizations of multivariate clinical data sets.

Confidential

Data Scientist, Watertown, NY

Responsibilities:

  • Led team of three Data Scientists in the execution of creating a new pricing model for a $30M a year program.
  • Responsible for all technical aspects of project including, preparing the modeling data set, data submissions to third party vendors, modeling strategies and preparing regulatory filing support/exhibits.
  • Worked closely with company's sales team to define and deliver compelling product demonstrations taking advantage of data science capabilities in the company Platform.
  • Worked on marketing analytics in order to allows marketers to be more efficient at their jobs and minimize wasted web marketing money.
  • Created data pipelines that transformed raw time-series data into clean, analytics-ready data.
  • Transformed data, developed insights and Built APIs to influence business decisions
  • Worked on predictive maintenance, anomaly detection, and trend-analysis using R and Python and libraries in machine learning.
  • Participated on a project to develop artificial neural networks to generate product recommendations.
  • Collaborated with Tech team to productionize Machine Learning algorithms.
  • Worked closely with software engineering team and finance team to deploy machine learning algorithms into production.
  • Implemented and analyzed A/B or Multi-Variate Tests to measure the impact of product decisions and changes.
  • Delivered end-to-end solutions. Evaluated and improved state-of-the-art machine learning solutions, built reliable and high-performance production-quality systems, and collaborated with the sales team to create compelling experiences that helped the sales team.

Confidential

Senior Data Architect, Hoboken, NJ

Responsibilities:

  • Led the development of creating machine learning models in R to determine which leads are most likely to apply for the upcoming academic year.
  • Designed experiments to determine efficacy of solutions using R.
  • Worked on Marketing Analytics to Boost Bottom Line Impact.
  • Designed, built, and launched new data models for TV usage and associated online activity.
  • Leveraged data to drive growth and operational efficiencies.
  • Built models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning, algorithms, genetic algorithms, and neural networks
  • Used Logistic Regression to measure the success rates of marketing campaigns for adult learning.
  • Collaborated with business partners to identify critical business problems/key knowledge and translate them into technical analyses and deliver actionable insights.
  • Created models in R to predict which leads were most likely to enroll based on the type of social media tool they used to register
  • Managed one actuarial analyst responsible for producing rate indications, quarterly reserve analyses and ad hoc requests.

Confidential, Trumbull, CT

Oracle BI Lead

Responsibilities:

  • Designed, Debugged and optimized the OBIEE/Siebel Analytics RPD / Dashboards / Workflows.
  • Performance tuning of server architecture / Dashboards / Reports.
  • Set up security to authenticate users and assign appropriate permissions and privileges.
  • Prepared documentation for new development and change request of business management. Interacted with Management to identify key Dimensions and Measures for business performance analytics request using column selector.
  • Implemented comprehensive security functionality by creating users & web groups, external table security using session variables, test and validate the model using OBI Admin tool and associating catalog objects and Web modules with the created users and groups.
  • Extensively used ETL to load data from wide range of source such as flat files and XML to ORACLE.
  • Created comprehensive and easy-to-understand Documentation of the complete implementation of Analytics that includes (Repository, Dashboards and Security).
  • Created dimension hierarchies and assigned levels for each level.
  • Modeling activities which included building star schema as per the business requirements and configuration of Logical Layer, Logical tables, dimensions and columns in Business Model and Mapping layer.
  • As per requirements, developed metadata repository, configured metadata for the Business Model Layer and Physical Data Model, importing tables and creating the physical joins/keys required and changing the physical joins/key on the existing tables.

Confidential, Springfield, IL

Oracle Business Intelligence Developer

Responsibilities:

  • Worked closely with the Business Analyst in understanding the Analytics requirements and created the business model for generating reports as per the user requirements.
  • Configured OBIEE Repository like implementation of physical data model as per requirements, importing the tables and having the physical joins/keys required and changed the physical joins/key on the existing tables.
  • Implemented the delivery of iBots using OBI Delivers to alert the associated teams.
  • Responsible for Unit and System Testing and Performed Data Validation for all the reports that are generated from OBIEE.
  • Performed Testing of the IT Defects and CR raised by the Testing team.
  • Created comprehensive and easy-to-understand Documentation of the complete implementation of Analytics that includes (Repository, Dashboards and Security).
  • Performed diagnostics test to optimize performance through caching, setting logging levels and enabling and monitoring usage tracking.
  • Identify and implement product enhancements based upon KPI trends.

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