SUMMARY

• An experienced Data Analyst wif 9+ years of experience in Big Data Analysis, wif experience in using different industry tools such as Python and Hadoop and expertise in Tableau and SQL.
• Certified Machine Learning professional from Confidential at Confidential and Python Certification Training from Edureka.
• Experience in Data Analysis, Data Profiling, Data Integration, Migration, Data Governance and Metadata Management, Master Data Managementand Configuration Management.
• Experienced in utilizing statistical and programming skills to collect, analyze and interpret large data sets to develop data - driven solutions for different business challenges
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Extensive experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutionsto various business problems and generating data visualizations using R, Python.
• Experience in various phases of Software Development life cycle (Analysis, Requirements gathering, Designing) wif expertise in documenting various requirement specifications, functional specifications, Test Plans, Data Validation, Source to Target mappings, SQL Joins, Data cleansing.
• Experienced inScrum PracticeslikeUser Stories, Story Slicing, Backlog Grooming, Release Planning, Sprint Planning, Sprint ReviewandSprint Retrospective
• Coding noledge and experience wif languages such asC++ and Java
• Experience wif distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Expert noledge of SQL and Tableau for data analysisanddata visualization
• Experienced creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks
• Experience in foundational machine learning models and concepts: regression, random forest, boosting, and deep learning.
• Expert at giving Effective Presentations & Walkthroughsof Detailed Business Requirements, Use Cases & Technical DocumentsSystem Requirements Specifications (SRS) and Workflow Diagrams.
• Strong experience inMicrosoft Access, Forms, Reports, Microsoft Excel Pivot-Tables, Graphs, Charts.
• Experience in process modeling using UML, (Use Cases, Sequence Diagrams, Activity Diagrams, Class Diagrams and Data modeling)
• Highly motivated team player wifexcellent Interpersonal and Customer Relational Skills, Proven Communication, Organizational, Analytical, Presentation Skills, and Leadership Qualities
• Developed various QlikView Data Models by extracting and using teh data from various sources files DB2, Excel, Flat Files and Bigdata
• Handled importing data from various data sources, performed transformations using Hive, Map Reduce, and loaded data into HDFS
• Project Managementexperience includes Client Management, Customer Interaction, Scope Definition, Project Planning, Change Control, Integration & Release Management.

TECHNICAL SKILLS

Analysis / Methodologies: Agile Methodology, Scrum, Kanban, Waterfall Methodology

Microsoft Tools: Microsoft Project, MS Excel, MS PowerPoint (MS Office Suite) MS SharePoint

Reporting: MS Excel, Tableau, SSAS, Qlik View, Kipfolio, Trello, Gantt

Software Tools: SQL, Python, SQL, MATLAB, Hadoop, MapReduce, JavaScript, Jira, Confluence, SAP, Salesforce Integration, Salesforce Admin, DevRally

Statistical Tools: Time Series, regression models, splines, confidence intervals, principal component analysis and Dimensionality Reduction, bootstrapping

PROFESSIONAL EXPERIENCE

Confidential, Montvale, NJ

Sr. Data Analyst / Data Scientist

Responsibilities:

• Performed data exploration and analysis of Sales and Marketing data using R in each line of business by understanding their product performance in each of their core states
• Developed data mapping documentation to establish relationships between source and target tables including transformation processes using SQL
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Developed dashboards using Power BI as per management requirement
• Involved wif teh sales team to drive sales, track marketing campaigns, lead generations and sales using Salesforce and monthly reports to management
• Performed Database and ETL development per new requirements as well as actively involved inimproving overall system performance by optimizing slow running/resource intensive queries.
• Thoroughly studied teh requirements for teh different process and suggested changes dat could help teh business improve or standardize reporting requirements and did suggested re-engineering to teh flow.
• Was involved in teh creation of test cases of reports and at a step level activity and validated wif teh step wifin teh team before submitting for a sign-off to stakeholders and IT team
• Validated SQL queries to filter data for reporting and Performed Data mapping and report creating steps in MS Visio
• Analyzed data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights
• Good noledge of HadoopArchitecture and various components such as HDFS, JobTracker,TaskTracker, NameNode, DataNode, SecondaryNameNode, and MapReduce concepts
• Analyzed teh data collected and process maps to determine teh root causes and identify opportunities for new reporting parameters and eliminating duplication of work.
• Worked wif IT managers to translate business needs into system requirements and made sure dat technical team in offshore understands teh requirements and went of calls every week for updates.
• Documented teh entire reporting process and took final sign-off from all teh business heads
• Participated in client meetings, teleconferences and video conferences to keep track of projectrequirements, commitments made and teh delivery theirof

Environment: Python, R, SQL, Teradata, Trello, Hadoop, SAS, MS Project, MS Visio, MS Office, MySQL, SharePoint

Confidential, Montvale, NJ

Data Analyst / Business Analyst

Responsibilities:

• Understanding and implementation of text mining concepts, graph processing and semi structured andunstructured data processing. Used predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Conducted meetings wif business teams to on-board new scorecards on existing platform
• Expert at performing technical analysis and lead analysis of complex business systems to create logical requirements and functionality specifications needed to provide solutions to complex business problems and determine present and future business performance
• Performed data visualization wif Tableau 10 and generate dashboards to present teh findings.
• Determined customer satisfaction and help enhance customer experience using NLP.
• Assisted project managers on project planning, managing timelines and schedules to deliver timely results.
• Held strategic meetings wif senior management to discuss how to accelerate project timelines.
• Involved extensively in all teh phases of SDLC using Agile (SCRUM) methodology including identification of business needs and constraints, collecting requirements, working closely wif developers and testers.
• Provided input and insight of project plan management and monitored progress against plan through Share point
• Assisted team wif making appropriate commitments through story selection, task definition; drive sprint planning and estimation; Organize and facilitate project planning, daily stand-up meetings, reviews, retrospectives, sprint and release planning, demos and other Scrum-related meeting
• Responsible for project management documentation including project plans, meeting minutes and action items.
• Presented weekly status reports and presentations to teh senior leadership team telling them about teh progress of deliverables each week.

Environment: Jira, Confluence, Tableau, Qlickview, Trello, DevRally, MS Project, MS Visio, MS Office, MySQL, Rational ClearQuest, Rational Requisite Pro, SharePoint.

Confidential, Houston,TX

Data Scientist / Data Analyst

Responsibilities:

• Work on Text Analytics, NaïveBayes, Sentiment analysis, creating word clouds and retrieving data fromTwitter and other social networking platforms
• Implemented big data processing applications to collect, clean and normalization large volumes of opendata using Hadoop ecosystems such as PIG, HIVE, and HBase
• Integrate R into Micro Strategy to expose metrics determined by more sophisticated and detailed modelsTEMPthan natively available in teh tool and communicated wif users to build an understanding of teh business process.
• Worked on different data formats such as JSON, XML and performed machinelearningalgorithms in
• Python and resolved customer issues and recommended solutions for improvement
• Created and presented weekly analysis report to management which helped in developing strategies for identifying teh sales targets wifin teh mortgage and financial industry
• CreatedDataQuality Scripts using SQL and Hive to validate successfuldataload and quality of thedata. Createdseveral types ofdatavisualizations usingPythonand Tableau
• Designed and developed analytics, machine learning models, and visualizations toprovide insights, from prototyping to production deployment and productrecommendation and allocation planning
• Focused on customer segmentation based on machine learning and statistical modeling effortincluding buildingpredictive models and generatesdataproducts to support customer segmentation
• Application of various machine learning algorithms and statistical modeling like decision trees, regression models, neural networks, SVM, clustering to identify Volume using package in Python
• Developed a pricing model for various product & services bundled offering to optimize and predict teh gross margin

Environment: R/R studio, SAS, Python, Hive, Hadoop, MS Excel, MS SQL Server, Power BI, Tableau, T-SQL, ETL, MS Access, XML, JSON, MS

Confidential, Atlanta - GA

Business Systems Analyst

Responsibilities:

• Responsible for identifying stakeholders dat own and work on teh assigned applications.
• Responsible for conducting Kickoffs of teh assigned applications into teh Systems Retirement program.
• Responsible for gathering User and Business requirements through JAR sessions and Technical Elaboration Sessions after identifying teh correct stakeholders related to assigned applications.
• Implemented Metadata Repository, Maintaining Data Quality, Data Cleanup procedures,
• Transformations, Data Standards, Data Governance program, Scripts, Stored Procedures, triggers and execution of test plans.
• Participated in walkthroughs and team meetings to discuss teh issues arising out of requirement gathering or testing.
• Responsible for meeting tight deadlines and working through eminent issues to meet those deadlines.
• Responsible for submitting Change Request (CR) to change teh status of an application on a program level
• Responsible for creating and understanding Visio diagrams to reflect teh workflows and interdependence to other applications.
• Assist Project Managers in completing weekly Status Reports (CSRs) as well as creating project plans on MS Project.
• Worked closely wif Database Analysts, Technical Analysts, Infrastructure Business Alignment Teams and Business Alignment Teams to gather database information and verify record and source codes to be archived or purged.

Environment: MS Visio, SharePoint, MS Word, MS Excel, MS PowerPoint, MS Project, MS Office Outlook, MS Office Calendar, Adobe Connect, Paint, SQL.

Confidential

Data Scientist / Data Analyst

Responsibilities:

• Planned and conducted teh requirements gathering sessions wif teh business team to collect teh business processes, security and service level requirements.
• Extracted, discussed, and refined business requirements during JAD sessions.
• Prepared various artifacts such as use cases, workflow diagrams, business process models, and functional requirement specifications (FRS) by interacting wif end users, development personnel, project team and teh subject matter experts.
• Prepared requirement traceability matrices and managed all components of teh business requirements & UAT testing phase of teh development lifecycle.
• Involved in preparing project plans and identifying teh major milestones of teh project.
• Assisted QA testing in formulating test plans, reviewed them for appropriate test coverage and managed teh change request documentation.
• Effectively analyzed audience: Translated technical ideas into words dat teh intended audience would understand.
• Effectively managed teh requirements and requirement change requests during various phases of teh project life.
• Developed and maintained teh issue/defect matrix and provided teh status reports to senior management.
• Involved in teh creation of Project status reports as well as requirement traceability matrices.