OBJECTIVE:

Microsoft And Harvard Data Science Certificate professional with sixteen plus years of experience in all phases of diverse technology and projects specializing in Data Science & Analytics, Spark 2.0,PySpark, AWS EC2, Azure Machine Learning and Tableau. Team builder with excellent communications, time & resource management & continuous client relationship development skills.

SUMMARY:

• Extensive experience in Data Mining, Machine Learning and Data Science technologies ensuring project completion on time, on budget and with the desired results.
• Experience in AWS EC2 instance with Apache 2.0 and Pyspark.
• Analytical, performance - focused, and detail-oriented professional, offering in-depth knowledge of data analysis and statistics; utilized complex SQL queries for data manipulation
• Equipped with experience in utilizing statistical techniques which include Correlation, Hypotheses modeling, Inferential Statistics as well as data mining and modeling techniques using Linear and Logistic regression, clustering, decision trees, and k-mean clustering
• Expertise in building Supervised and Unsupervised Machine Learning experiments using Microsoft Azure utilizing multiple algorithms to perform detailed predictive analytics and building Web Services models for all types of data: continuous, nominal, and ordinal.
• Expertise in using Linear & Logistic Regression and Classification Modeling, Decision-trees, Principal Component Analysis (PCA), Cluster and Segmentation analyses, and have authored and coauthored several scholarly articles applying these techniques
• Mitigated risk factors through careful analysis of financial and statistical data.
• Transformed and processed raw data for further analysis, visualization, and modeling.
• Increased customer visibility by developing real-time insights to sales people and sales managers using Tableau reports, resulting in boosting the revenue by 10%

CORE COMPETENCIES

• Microsoft Certificate in Data Science Essentials
• Harvard Certificate in Data Science with R
• Descriptive and inferential statistics
• Machine Learning - Linear and Logistic Regression Models, K-Mean Clustering

TECHNICAL SKILLS:

• Spark 2.0, Pyspark, Spark SQL,
• R Studio
• Python with Pyspark, Jupyter Notebook
• Azure Machine Learning
• UML, JAVA, Shell Scripting
• Python, Tableau
• Talend
• SQL, PL/SQL, Oracle
• Couch DB, HBase, Hive
• ETL, SOAP UI, Rest Assured
• Selenium, JBehave, Cucumber
• Detox, Jest, Enzyme, React JS
• Appium, Jmeter, Loadrunner
• Maven, Jenkins, Team city
• Rally, Jira
• Various java and Java script IDE
• MS Access
• Oracle
• MS SQL Server
• Oracle, CouchDB, HBase

PROFESSIONAL EXPERIENCE:

Sr Software Engineer

Confidential

• Acquired and cleaned using Talend and structure data from multiple source including external and internal databases.
• Performed data extraction, manipulation, cleaning, analysis, modeling and data mining using Python programming Jupyter Notebook and Azure machine learning.
• Designed dashboards in Tableau for sales teams with instant access to personalized analytics portal, so they can access key business metrics such as time to close opportunity, delay-to-contract, resulting in increased customer satisfaction and improving client’s standing in the airlines industry
• Proficient in research of current process and emerging technologies which need analytic models, data inputs and output, analytic metrics and user interface needs.
• Developed and execute processes for accurate data capture across all clients to obtain key insights and relationships to overall business objectives using Statistical Hypotheses Modeling.
• Exploratory data analysis using spark2.0, pyspark, jupyter notebook and Azure machine learning to deep dive into internal and external data to diagnose areas of improvement to increase efficiency.
• Utilized Booted Decision Tree, Linear and Bayesian Linear Regression Machine Learning models in Microsoft Azure to develop and implement interactive Web service predictive models
• Led the company's machine learning and statistical modeling effort including building predictive models and generate data products to support customer segmentation, product recommendation and allocation planning; prototyping and experimenting ML/DL algorithms and integrating into production system for different business needs.
• Designed, built and deployed a set of modeling APIs using python and azure machine learning for customer analytics, which integrate multiple machine learning techniques for various user behavior prediction (airtickets anamoly detection, email parsing models etc.
• Built models using decision trees, segmentation, regression and clustering intelligent decision models to analyze customer response behaviors.
• Work on various project using java, React JS, Jenkins, Maven, Jira, Rally to build and test application.

Associate

Confidential

• Work as a software engineer using java, maven, Jenkins for various project.
• Used Spring to developed the framework.
• Developed framework using Object Oriented Programming concepts.
• Worked in Agile environment, with 2 week Spring.
• Created stub to test SOAP web services.
• Coordinating with different business group for automation requirement and to get tech stack.
• Sprint planning for different projects and deliverable.
• Coordinating with offshore team in Argentina, Philippines, Bangalore for task distribution.

Sr Software Engineer

Confidential

Responsibilities:

• Prepared and executed scenarios on new ETL process builds.
• Developed framework using Object Oriented Programming concepts
• Experience includes building, integrating and updating Automation Frameworks i.e.
• BDD, Data Driven and Hybrid frameworks in order to optimize the entire Quality Engineering effort.
• Worked in Agile environment, with 2 week Spring.
• Implemented Continuous Integration using Jenkins, SVN and Maven.
• Created Stub to test SOAP web services, and experienced with SOAP UI.
• Execute test in iPhone, android Platforms for Ostia edge web site.
• Performing Performance testing using jMeter 2.4.
• Involved in Web Services Testing using SOAPUI and Glassfish Web Services client.

Sr Software Engineer

Confidential

Responsibilities:

• Work as a software engineer using java, maven, Jenkins, jMeter, Unix, SQL Server for multiple project.

Software Programmer

Confidential

Responsibilities:

• Work as a software engineer using java, maven, Jenkins and load runner, TPF mainframe for various project.

Software engineer

Confidential

Responsibilities:

• Work as a software engineer using java, maven, Jenkins and Cognos reporting tool, Oracle, Unix for different project.

Software engineer

Confidential

Responsibilities:

• Work as a software engineer using java, QTP, Quality center, Oracle, Unis for BFS project.

Software engineer

Confidential

Responsibilities:

• Work as a software engineer using QTP, Quality center, Unix, SQL Server for CRM project.

Software trainee

Confidential

Responsibilities:

• Work as a software trainee using PowerBuilder, SQL Server for various project.