Candidates About

 

Vamsi Vullamgunta

·      Over 8+years of experience in Machine Learning, Datamining with large datasets of Structured andUnstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization.

·      Proficient in Statistical Modeling and Machine Learning techniques (Linear, Logistics, Decision Trees, Random Forest, SVM, K-Nearest Neighbors, Bayesian, XG Boost) in Forecasting/ Predictive Analytics, Segmentation methodologies, Regression-based models, Hypothesis testing, Factor analysis/ PCA, Ensembles

·      Experience in Business Intelligence/Data WarehousingDesign and Architect, DimensionDataModelling, ETL, OLAPCube, Reporting and otherBItools.

·      Developing LogicalDataArchitecture with adherence to Enterprise Architecture.

·      Experience on advanced SAS programming techniques, such as PROC SQL (JOIN/ UNION), PROC APPEND, PROC DATASETS, and PROC TRANSPOSE.

·      Integration Architect & Data Scientist experience in Analytics, Bigdata, BPM, SOA, ETL and Cloud technologies.

·      Highly skilled in using visualization tools like Tableau, ggplot2,and d3.js for creating dashboards.

·      Experience in foundational machine learning models and concepts: regression, random forest, boosting, GBM, NNs, HMMs, CRFs, MRFs, deep learning.

·      Proficiency in understanding statistical and other tools/languages - R, Python, C, C++, Java, SQL, UNIX, QlikView data visualization tool and Anaplan forecasting tool.

·      Strong experience in the Analysis, design, development, testing, and Implementation of Business Intelligence solutions using Data Warehouse/Data Mart Design, ETL, OLAP, BI, Client/Server applications.

·      Strong DataWarehousingETL experience of using Informatica […] Power Center Client tools - Mapping Designer, Repository Manager, Workflow Manager/Monitor and Server tools Informatica Server, Repository Server manager.

·      Proficient in the Integration of various data sources with multiple relational databases like Oracle 12C/11g /Oracle10g/9i, MS SQL Server, DB2, Teradata and Flat Files into the staging area, ODS, Data Warehouse and Data Mart.

·      Experience in Extracting data for creating Value Added Datasets using Python, R, SAS, Azure and SQL to analyze the behavior to target a specific set of customers to obtain hidden insights within the data to effectively implement the project Objectives.

·      Experience in creating Data Visualizations for KPI's as per the business requirements for various departments.

·      Experience in using Statistical procedures and Machine Learning algorithms such as ANOVA, Clustering and Regression and Time Series Analysis to analyze data for further Model Building.

·      Designing of Physical Data Architecture of New system engines.

·      Expertise in transforming business requirements into analytical models, designing algorithms, building models, developing DataMining and reporting solutions.

·      Experience in applying PredictiveModeling and MachineLearning algorithms for Analytical projects.

·      Developing Logical Data Architecture with adherence to Enterprise Architecture.

·      Experience in designing stunning visualizations using Tableau software and publishing and presenting dashboards, Storyline on web and desktop platforms.

·      Proficient in Predictive Modeling, Data Mining Methods, Factor Analysis, ANOVA, Hypothetical testing, normal distribution and other advanced statistical and econometrictechniques.

·      Developed predictive models using Decision Tree, Random Forest, Naïve Bayes, Logistic Regression, Cluster Analysis, and Neural Networks.

·      Experienced the full software lifecycle in SDLC, Agile, and Scrummethodologies.

·      Skilled in Advanced Regression Modeling, Correlation, Multivariate Analysis, Model Building, Business Intelligence tools and application of Statistical Concepts.

·      Experienced in Machine Learning and Statistical Analysis with Python Scikit-Learn.

·      Well experienced in Normalization and De-Normalization techniques for optimum performance in relational and dimensional database environments.

·      Experience in data-driven statistical analysis like sampling, finding the data distribution, hypothesis testing, correlation among the variable, outlier detection, analysis of variance, probability theory

·      Strong understanding of DataModeling and Datamining.Expertise in development of software with amajor contribution in Data warehousing and Database Applications using Informatica,Oracle PL/SQL, UNIX Shell Programming.

·      Experience in the migrating the code across different environments.

·      Experience in Creating and Validating Statistical Models using R and SAS.

·      Good experience in Text Mining of cleaning and manipulating text and finding sentiment analysis from text mining data.

·      Good experience in validating thestatistical model using Cross-Validation method.

·      Good knowledge in Building Statistical Models: Random Forest, Logistical & Linear Regression, ARIMA, Decision Tree, Clustering, XGBoost and Naive-Bayes Classifier etc.

 

      Bachelor of Computer Science.

 

Programming Languages	C#, VB.NET (VB6), VBScript, OOPS, Data structures, Algorithms
Client-side Technologies	HTML5, PERL, Processing, Python and R, Python, Hive, C/C++, C#, Java or Python, icml Bash, Scala, PHP.
Frameworks	Shogun, Accord Framework/AForge.net, Scala, Spark, Cassandra, DL4J, ND4J, Scikit-learn, H2O, Storm.
Development Tools	Cassandra, DL4J, ND4J, Scikit-learn, Shogun, Accord Framework/AForge.net, Mahout, MLlib, Cloudera Oryx, Go Learn, Apache SINGA.
Machine Learning	LDA, Naïve Bayes, Decision Trees, Regression models, random forests, K-means clustering, Market Basket Analysis, Time-series and support vector machines
BI Tools	C x 4, HBase x 4, Bash x 3, Spark x 3, Elastic search x 2.
Version Controller	TFS, Microsoft Visual SourceSafe, GIT, NUNIT, MSUNIT
Data Modelling Tools	Erwin r 9.6, 9.5, 9.1, 8.x, Rational Rose, ER/Studio, MS Visio, SAP Power designer.
Project Execution Methodologies	Ralph Kimball and Bill Inmon data warehousing system, Rational Unified Process (RUP), Rapid Application Development (RAD), Joint Application Development (JAD).
ETL/BI Tools	Informatica PowerCenter 9.x, Tableau, Cognos BI 10, MS Excel, SAS, SAS/Macro, SAS/SQL
Databases	SQL, Hive, Impala, Pig, Spark SQL, Databases SQL-Server, My SQL, MS Access, HDFS, HBase, Teradata, Netezza, MongoDB, Cassandra.
Operating System	Windows, Linux, Unix, Macintosh HD, Red Hat.

 

 

 

 

Description: Transamerica Corporation, a financial services company, provides insurance and investments for small to large organizations.

Responsibilities:

·      Design and develop state-of-the-art deep-learning / machine-learning algorithms for analyzing theimage and video data among others.

·      Develop and implement innovative AI and machine learning tools that will be used in the Risk

·      Experience with Tensor Flow, Caffe, and other Deep Learning frameworks.

·      Effective software development processes to customize and extend the computer vision and image processing techniques to solve new problems for Automation Anywhere.

·      Develop and implement innovative data quality improvement tools.

·      Will demonstrate cross-functional resource interaction to accomplish your goals.

·      Involved in Peer Reviews, Functional and Requirement Reviews.

·      Develop project requirements and deliverable timelines; execute efficiently to meet the plan timelines.

·      Creating and supporting a data management workflow from data collection, storage, analysis to training and validation.

·      Understanding requirements, significance of weld point data, energy efficiency using large datasets

·      Develop necessary connectors to plug ML software into wider data pipeline architectures.

·      Creating and supporting a data management workflow from data collection, storage, analysis to training and validation.

·      Identify and assess available machine learning and statistical analysis libraries (including regressors, classifiers, statistical tests, and clustering algorithms).

·      Design and build scalable software architecture to enable real-time / big-data processing.

·      Acquire business knowledge in the Firm's risk management processes.

·      Be very passionate about quality and have a strong sense of ownership of the work accomplished.

·      Be quick to learn new technologies as well as deliver on them in short order.

·      Taking responsibility for technical problem solving, creatively meeting product objectives and developing best practices.

·      Design and develop state-of-the-art deep-learning / machine-learning algorithms for analyzing the image and video data among others.

·      Develop and implement innovative AI and machine learning tools that will be used in the Risk

·      Identify and assess available machine learning and statistical analysis libraries (including repressors, classifiers, statistical tests, and clustering algorithms).

·      Design and build scalable software architecture to enable real-time / big-data processing.

·      Acquire business knowledge in the Firm's risk management processes.

·      Be very passionate about quality and have a strong sense of ownership of the work accomplished.

·      Be quick to learn new technologies as well as deliver on them in short order.

·      Taking responsibility for technical problem solving, creatively meeting product objectives and developing best practices.

·      Worked on requirements gathering for multiple functionality enhancements by engaging with business users and ascertaining their demands.

·      Involved in maintaining and uploading the Test Scripts.

·      Have a high sense of urgency to deliver projects as well as troubleshoot and fix data queries/ issues.

·      Work independently with R&D partners to understand requirements.

·      Understanding business process and Business problems thoroughly and forecasting the business using data science techniques.

·      Gathering required data from business users to achieve accurate training data for analysis.

·      Coordinate and communicate with technical teams for any data requirements.

·      Providing status of theproject to project manager and business team up to date.

·      Understanding the Business requirements based on theFunctional specification to design the ETL methodology in technical specifications.

·      Implemented techniques from artificial intelligence/machine learning to solve supervised and unsupervised learning problems.

·      Present results of analysis and prediction model evaluation to business executives.

·      Consolidation, standardization, matching Trillium for the unstructured flat file data.

·      Responsible for developing, support and maintenance for the ETL (Extract, Transform and Load) process using Informatica Power Center 8.5.

 

 

 

Description: MasterCard is one of the major credit cards used regularly by people in the United States, second only in name recognition and worldwide billings to Visa. By marketing itself to ordinary men and women, in contrast to Visa's efforts to capture an upper-income clientele, MasterCard is slowly chipping away at Visa's market share in both

United States.

Responsibilities:

·       Participated in stakeholders meetings to understand the business needs & requirements.

·       Involved in preparation & design of technical documents like Bus Matrix Document, PPDM Model, and LDM & PDM.

·       Designed framework for sales requirements & Lead team of 5.

·       Provided technical solutions on MS Azure HDInsight, Hive, HBase, Mongo DB, Telerik, Power BI, Spot Fire, Tableau, Azure SQL Data Warehouse Data Migration Techniques using BCP, Azure Data Factory, and Fraud prediction using Azure Machine Learning.

·       Participated in Business meetings to understand the business needs & requirements.

·       Prepared & designed technical documents like OLAPDesignDocument, Conceptual Model, and LDM&PDM.

·       Upskilled / Trained team on SQL Server 2012 for incoming new requirements.

·       Provided technical solutions for OLAP design and reporting requirements.

·       Participated in Business meetings to understand the business needs & requirements.

·       Prepare ETL architect& design document which covers ETL architect, SSIS design, extraction, transformation, and loading of Duck Creek data into thedimensional model.

·       Provide technical & requirement guidance to the team members for ETL -SSISdesign.

·       Participated in Business meetings to understand the business needs & requirements.

·       Design ETL framework and development.

·       Design Logical & Physical Data Model using MS Visio 2003 data modeler tool.

·       Prepare High-Level Design (HLD) &Low-Level Design (LLD) documents.

·       Provide technical & requirement guidance to the team members.

·       Manage development & enhancement of Project Change Request from client.

·       Participated in Architect solution meetings & guidance in Dimensional Data Modeling design.

·      Design Dimensional Data Modeling using Erwintool.

·      Design ETL Architect for SSIS&Cube Architect for SSAS.

·      Estimation of work/task using MS Project Plan and allocation of task/work among team members.

·      Onsite team coordination - Daily / Weekly Status report/meeting.

·      Responsible for Business Analysis and Requirements Collection and Understanding Business Problems

·      Interact regularly with Business leaders to set and manage expectations aligned to group capabilities.

·      Understanding business process and Business problems thoroughly and forecasting the business using data science techniques.

·      Gathering required data from business users to achieve accurate training data for analysis.

·      Coordinate and communicate with technical teams for any data requirements.

·      Guided team to implement EDA part for given sales data and analyze the results. Involved in Gathering, exploring and cleaning the data.

·      Use of cutting-edge data mining, machine learning techniques for building advanced customer solutions.

·      Assigning tasks to analytics team and reporting team and gathering inputs from them on regular basis.

·      Design, develop, maintain and communicate visual dashboards/reports and analysis based on business requirement needs

·      Providing status of theproject to project manager and business team up to date.

·      Understanding the Business requirements based on theFunctional specification to design the ETLmethodology in technical specifications.

 

 

 

Description: The key to the Spectral MD Deep View Wound Imaging System is systems-based technology that combines real-time digital analysis of optical signatures to sensitize an imager to photon-tissue interactions below the skin's surface. These image signatures relate directly to a patient's dynamic physiology - both in terms of the quantity and quality of important properties such as blood flow and tissue composition. In the clinical study setting, the DeepView device has produced images that reflect key operational parameters of the human system for review by clinicians.

Responsibilities:

·       Responsible for performing Machine-learning techniques regression/classification to predict the outcomes.

·       Responsible for design and development of advanced R/Python programs to prepare to transform and harmonize data sets in preparation for modeling.

·       Identifying and executing process improvements, hands-on in various technologies such as Oracle, Informatica, and Business Objects.

·       Designed the prototype of the Data mart and documented possible outcome from it for end-user.

·       Involved in business process modeling using UML

·       Developed and maintained data dictionary to create metadata reports for technical and business purpose.

·       Handled importing data from various data sources, performed transformations using Hive, Map Reduce, and loaded data into HDFS.

·       Interaction with Business Analyst, SMEs, and other Data Architects to understand Business needs and functionality for various project solutions.

·       Created SQL tables with referential integrity and developed queries using SQL, SQL*PLUS, and PL/SQL.

·       Involved with Data Analysis Primarily Identifying Data Sets, Source Data, Source Meta Data, Data Definitions and Data Formats

·       Performance tuning of the database, which includes indexes, and optimizing SQL statements, monitoring the server

·       Wrote simple and advanced SQL queries and scripts to create standard and Adhoc reports for senior managers.

·       Collaborate the data mapping document from asource to target and the data quality assessments for the source data.

·       Created PL/SQL packages and Database Triggers and developed user procedures and prepared user manuals for the new programs.

·       Participated in Business meetings to understand the business needs & requirements.

·       Prepare ETLarchitect& design document which covers ETLarchitect, SSISdesign, extraction, transformation, and loading of Duck Creek data into thedimensional model.

·       Provide technical & requirement guidance to the team members for ETL -SSISdesign.

·       Participated in Business meetings to understand the business needs & requirements.

·       Design ETL framework and development.

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