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Data Scientist Resume

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PROFESSIONAL SUMMARY:

  • 12 years of professional IT experience and worked on various projects implementations.
  • Experience in various industries including Financial, Banking, Public domain, Manufacturing and Defence.
  • 4+ Years of experience in implementing batch and real time descriptive analytical solutions using big data, visualizations and reporting Tools
  • Experience in performing TEMPPrincipal Component Analysis and implementing supervised and unsupervised machine learning models.
  • 4+ years of experience in implementing data mining and Statistical machine learning solutions to various business problems such as anomaly detection, fault prediction, log and event data mining, customer churn
  • Built predictive analytics models to generate actionable insights
  • Have implemented Natural Language Processing methods and ANN techniques in the model development.
  • Have implemented various dimensionality reduction techniques like PCA, LDA, t - SNE.
  • Expertise wif the tools inHadoopecosystem including HDFS, Spark, Spark SQL, HBase, Hive, Sqoop and Flume.
  • Experience wif leveraging Hadoopecosystem components including Hive for Data Analysis, Sqoop for Data Migration between RDBMS systems and Hadoop.
  • Design and implement Hadoop based data ingestion solutions and implement the capabilities and offerings of the enterprise Hadoop platform
  • Experience in developing Apache Spark programs using Python.
  • SAP Certified Consultant in Webdynpro for JAVA
  • Extensive experience wif Portal Content Management, Content Administration, Logon Page Customization, Mast Head and Portal Themes Customization, Knowledge Management, Layout sets, WPC.
  • Extensively worked on System Administration, user administration, Federated Portal Network, external facing portal, Consumer Portal concepts, Master rule set up configurations and Transporting Portal Content to different systems.
  • Worked on implementation of FIORI, Wiki and Forums application, Configuration of Universal Worklist and ESS MSS business package implementation for SAP HR module.
  • Exposure to multiple SAP systems like SAP ECC, BW, Solman, GRC and CRM systems integration wif Portal, SSO configurations and implementation.
  • Hands on experience in non SAP applications integration to portal.
  • Extensively worked on Webdynpro for Java using NWDS, ARFC models of ECC, EJB and WSDL models consumption in WDJ applications and TEMPhas knowledge on NWDI, BPM, NWA configurations, system information, process management and trouble shooting.
  • Proficient in analyzing and translating business requirements to technical requirements and architecture.
  • Proven capacity of handling & delivering best results on big projects.
  • Extensive exposure to Functional as well as Technical aspects.
  • Extensive experience wif analysis, design, development, customizations, and full life cycle implementation of software applications including ERP applications.
  • Solid client-facing experience & Able to handle potentially unclear and inconsistent requirement.

TECHNICAL SKILLS:

Operating Systems: Windows, HP-UX, IBM-AIX.

Languages: Webdynpro for Java

Tools: NWDS, SAP Enterprise Portal, ESS MSS business package

Portal skills: Content Administration, System Administration, User Administration, Logon page and masthead customization and branding.

Integrated Systems: ECC, BW, Solman, CRM, GRC and non SAP systems

Environment: SAP NetWeaver 2004& 2004S, CE 7.2& 7.3, EP 6.0, 7.3 & 7.4

PROFESSIONAL EXPERIENCE:

Confidential

Data Scientist

Responsibilities:

  • Perform extensive data studies to understand the data behavior
  • Perform TEMPPrincipal component Analysis using different PCA techniques
  • Developing predictive models
  • Applied machine learning algorithms like clustering and segmentation methods for product offerings
  • Developed classification models to predict the products and offers subscriptions
  • Designed Python frameworks for machine learning models
  • Involved from design to implementation of machine learning models
  • Have developed analysis models using NLP techniques
  • Have developed Customer churn model using ANN techniques
  • Performed Import and export of data into HDFS and Hive using Sqoop and managed data coming from different sources
  • Defining the requirements for data lakes/pipe lines
  • Analyzed and fixed the data related issues wif help of Hive and Sqoop.
  • Creating Hive tables, loading data and writing Hive queries.
  • Modeled various hive tables and optimized the access by designing partitions and bucketing.
  • Involved in code review and bug fixing for improving the performance
  • Worked on the core and Spark SQL modules of Spark using programming languages likePython, Scala
  • Defining the data layouts and rules and after consultation wif ETL teams
  • Handled the implementation activities and provided Post implementation support.

Environment: K-means clustering, Hierarchical clustering, Bag of Words, XG Boost, Logistic Regression, Naïve Bayes, Decision Tree, KNN machine learning algorithms, ANN, t-sne, LDA, PCA, Python, Cloudera, HDFS, Hive, Sqoop, Spark

Confidential

Data Scientist

Responsibilities:

  • Data analysis and perform quality check
  • Perform Feature engineering and exploratory data analysis
  • Predicted the application score and the behavioral score of the customers by applying ensemble methods (Regression methods and random forests)
  • Developed portfolio management classification models using Random Forest, Logistic regression machine learning algorithms.
  • Developed Customer Churn model using Logistic Regression and Random Forest ensemble methods.
  • Developed the ETL process in Hadoop distributed Platform
  • Involved in designing and developing tables and storing aggregated data
  • Analyzed and fixed the data related issues wif help of Hive
  • Creation of external, managed & Partitioned Tables
  • Implemented Partitioning, Dynamic Partitioning, Buckets in Hive
  • Created HBase tables to store various data formats
  • Handled the implementation activities and provided Post implementation support.

Environment: Multiple Linear Regression, Random Forest, Logistic Regression, Kernel SVM classification machine learning algorithms, LDA, PCA, Python, Cloudera, HDFS, Hive

Confidential

Data Scientist

Responsibilities:

  • Reports creation and analysis at various levels for example Currency level report(CLR), Account Level Report(ALR) and other reports
  • Developing fraud detection models using different machine learning techniques
  • Defining the data streams and analyzing the data
  • Developed the ETL process in Hadoop Platform
  • Loaded semi structured data into Hadoop File System (HDFS).
  • Developed the Sqoop and Hive scripts for data transfer and data analysis.

Environment: Isolation Forest, Logistic Regression machine learning algorithms, Python, Cloudera, HDFS, Hive, Sqoop

Confidential

Sr. Analyst

Responsibilities:

  • Translating business requirements to technical requirements and architecture.
  • Developed Custom Branding by Logon page customization, Master head customizations forSAPEnterprisePortalto reflect Corporate Identity and standards.
  • ConfiguredSAPBW Reports wif FederatedPortalNetwork.
  • Defined the Strategy and Road maps for upgrading themultiple portal systems in the environment from SAPEnterpriseportal7.0 to 7.3 and 7.4.
  • Have implemented Fiori for one of the portals as a proof of concept.
  • Implementation strategy forSAPPortalSecurity-PortalRole, User Group and User Administration.
  • Provided solutions for integrating BW reports and favorites links to Portal.
  • Tasks Management using Universal Worklist (UWL) to manage tasks, notifications, and alerts from the distributed systems and for all kinds of approval items.
  • Managing and leading the different releases of the Portal as dis is a multi phase development project.
  • Supporting previous released versions, providing defect fixes and maintenance of documentation.
  • System objects creation and implementation to connect portal to other SAP systems.
  • Federated Portal Network implementation.
  • Configuration of Systems Objects and JCO destinations in Portal.
  • SSO was configured to publish the custom modules developed in R/3
  • Customer Portal connection to other three different portals, SAP and Non SAP systems integration
  • Verification of the test cases prepared, unit testing and integration testing

Confidential

Sr. Analyst

Responsibilities:

  • Analysis of the specifications from the upstream systems and downstream systems to decide the data provisioning strategy.
  • Design and development of Webdynpro for Java applications to create provisioning requests.
  • Creation of model layer to connect to the backend systems.
  • Implementation of persistence layer to provide applications access to database.
  • The preparation of the configurations needed for different modules.
  • dis project is developed using Agile Scrum Methodology and I was responsible for providing the daily status as part of scrum meetings.
  • Created system objects for ECC and BW to connect from EP
  • Supported multiple systems upgrade compatibility checks and patches upgrades and provided solutions for upgrade obstacles.
  • Verification of the test cases prepared, unit testing and integration testing
  • Designed and developed webdynpro for Java applications using NWDI, BPM and EJBs.
  • Design and development of Java dictionary objects to create the required tables in CE database.
  • Creation of model layer to connect to the Enterprise Java Beans.
  • Enterprise Java beans development to provide applications access to database.
  • The preparation of the configurations needed for different modules.
  • Managing and leading the different releases and phase wise development.
  • Created system objects for CE system to connect from EP
  • Was responsible for reviewing the functional and technical specifications and lead the unit testing, integration testing.
  • Designed and developed webdynpro for Java applications using NWDI, BPM and EJBs.

Confidential

SAP Netweaver Portal Consultant

Responsibilities:

  • Developed WebDynpro Java Applications.
  • Development of different modules like Request for ID card, Requesting s like Address Proof, Monthly salary etc., raising Away on Duty Applications etc.
  • Exhibited expertise in using various WebDynpro UI Elements
  • Customized Portal Landing page, Mast Head & Portal Themes.
  • Verification of the test cases prepared, unit testing and integration testing

Confidential

SAP Netweaver Portal Consultant

Responsibilities:

  • Developed integration objects for ECC and BW to connect from EP
  • Creation and configuration of Systems Objects and JCO destinations in Portal.
  • SSO was configured to publish the custom modules developed in R/3
  • Some standard functionalities like Leave request and View Salary slip etc was provided in ESS
  • Configured the Time entry and approval process.

Confidential

SAP Netweaver Portal Consultant

Responsibilities:

  • Developed ARFC models to connect to R/3 database
  • Developed User Interface screens in webdynrpro for Java using NWDS.
  • Performed Major and Minor enhancements in existing modules
  • Preparation of understanding documents for the end users
  • Analysis of the specification from the customer
  • Development of the new modules
  • Testing the entire scenarios wif validations

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