SUMMARY

• Experienced in Machine Learning Statistic Modeling, Predictive Modeling, Data Analytics, Data Modeling, Data Analysis, Data Mining, Data Visualization, Time Series, Business Intelligence, Natural Language Processing (NLP), Statistical Models like Decision Trees, Linear & Logistic Regression, Neural Networks, Support Vector Machines, Clustering, Principal Component Analysis and Factor Analysis.
• Proficient in R and SAS Statistical Programming Languages.
• Experienced data scientist with a demonstrated ability to deliver valuable insights via advanced data - driven methods.
• Broad scientific and mathematical knowledge with ability to apply learning to real-world situations.
• Excellent communication, analytical and leadership skills. Quick-learner and easily adaptable to new situations.

TECHNICAL SKILLS

Data Analytics Tools/Programming Languages: R, SAS, SQL, Hive, C/C++, Visual Basic, Html.

Statistical Models: Decision Trees, Linear & Logistic Regression, Neural Networks, Support Vector Machines, Clustering, Principal Component Analysis and Factor Analysis.

Big Data Technologies: Hadoop, HDFS, MapReduce, MongoDB, Spark.

Cloud Technologies: Amazon Web Services (AWS) like S3 and EMR.

Applications: Microsoft Office Professional (Outlook, Word, Excel, Visio, Access, PowerPoint, MS Project)Operating Systems: Linux, UNIX, Windows, Mac OS, VMware.

PROFESSIONAL EXPERIENCE

Confidential, Formerly AL

Senior Data Scientist

Responsibilities:

• Developed models and algorithms that drive productivity and growth throughout the supply chain.
• Conducted advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
• Built learning systems that monitor data flows and react to changes in production mill preferences.
• Provided technical leadership in a cross-functional and agile team that designed and developed analysis systems to extract meaning from large scale data.
• Collaborated with production managers and engineering teams to implement and deploy scalable solutions.
• Built scripts to automate, clean, transform, cross-reference and merge large sources of data.
• Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.
• Implemented data mining and statistical machine learning solutions to various business problems such as supply chain optimization, demand forecasting, and procurement part pricing.
• Analyzed business requirements for prioritization of advanced analytics projects based on hard dollar impact.
• Created analytics project governance and team process standards for project execution and stakeholder messages.
• Leveraged exploratory data analysis to detect insightful patterns to improve efficiency and provide business value.

Confidential

Data Scientist

Responsibilities:

• Partner with clients to execute data science solutions that addresses client use cases and business requirements.
• Led technical implementation of advanced analytics projects within the company and also to support client goals.
• Engaged with direct clients, engineering teams and partners to drive successful data analytics package and effective professional consulting early in the sales cycle.
• Applied various machine learning algorithms and statistical modeling like decision trees, regression models, neural networks, SVM, clustering to build models using R Statistical Programming Language.
• Created Data Quality Scripts using SQL and Hive to validate successful data load and quality of the data.
• Utilized Apache Spark with R to develop and execute Big Data Analytics and Machine Learning Applications.
• Built analytical data pipelines to port data in and out of Hadoop/HDFS from structured and unstructured sources.
• Worked on machine learning on large size data using Spark and MapReduce.
• Worked on NoSQL databases like MongoDB.
• Created various types of data visualizations using R and Tableau.
• Worked on data pre-processing and data cleaning to perform feature engineering and data imputation techniques.
• Ensured successful installation, configuration and upgrades of all hardware and software within the Linux, UNIX, Windows and VMware environment.
• Led the quality verification, interoperability and testing of IBM Blade Center and System X servers with various storage solutions using various operating systems that included Windows, VMware, Linux Red Hat and SLES.
• Designed and implemented system verification of storage solutions that included IBM DS8000 and DS4000 Storage Systems, IBM Tape Libraries, IBM SVC and XIV Storage Systems, NetApp N Series Storage Systems.
• Conducted migration planning and support of data on IBM servers and storage systems.
• Developed customized reports and dashboards for SAN and NAS devices.
• Created NFS and CIFS mount points, data erasure, data migrations and alerts troubleshooting.
• Troubleshoot Linux, UNIX, Windows, SQL and VMware backup and replication failures.
• Executed test variations/verification on Cisco switches and Brocade switches for interoperability with IBM products.
• Executed test variations and verification on Host Bus Adapter (HBA) Cards that included the Emulex, Qlogic, and Brocade HBA cards for interoperability with IBM products.
• Documented and maintained best practice and troubleshooting technique guides on hardware and software systems.
• Designed and delivered technical training materials to internal and external customers.
• Performed technical resource functions for Sales and Marketing team.

Confidential, Chicago, IL

Software Engineer/Solution Specialist

Responsibilities:

• Developed a test application that will partially automate testing of Extend interface.
• Helped to achieve faster release cycles and prevent repeated testing for different integrations with the developed Automated Extend test application.
• Served as the transition and integration leader for Global Complaint Handling.
• Developed plans to address the most critical Global Issues in the business.
• Aggressively reduced the P95 span (average number of complaints) for the business.
• Provided feedback to the business to help make strategic decisions.
• Designed test circuits and support qualification of new tool for wire seals to avoid one million dollars cost increase.
• Analyzed customer complaints, formulate and test hypothesis using design of experiments to minimize test samples while retaining solutions.
• Worked hand to hand with cross-functional team of manufacturing, engineers, technicians, quality leaders and safety leaders to implement solutions.
• Scoped cost savings ideas on external packaging while retaining protection to products during shipping and handling.
• Documented all projects including circuit diagrams, setup/startup guides and user guides.
• Performed various assignments on Six Sigma projects with multi-member groups and individually.