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Data Analyst Resume

Franklin Lakes, NJ

PROFESSIONAL SUMMARY:

  • Around 5 years of experience as a Data Analyst and Data Science Capable in all periods of the Software Development Lifecycle (SDLC).
  • Expert involvement in Data Modeling and Data Analysis as a Proficient in social event business prerequisites and taking care of necessities the board.
  • Experience with Statistical Analysis, Data Mining and Machine Learning Skills using R, Python and SQL.
  • Excellent capacity to comprehend business needs and information to create start to finish business arrangements.
  • Professional working experience in Machine Learning algorithms such as Linear Regression, Logistic Regression, Random Forests, Decision Trees, K - Means Clustering and Association Rules.
  • Experienced in structuring the Conceptual, Logical and Physical information displaying utilizing Erwin r7.3, Power Designer 12.0 and ER Studio Data displaying instruments.
  • Good in framework investigation, ER Dimensional Modeling, Database structure and executing RDBMS explicit highlights.
  • Experiences in Machine learning, data mining, structured and un-structured data analysis, and image data analysis, including feature extraction, pattern recognition, algorithm development, text mining, computer simulation, data modeling, databases design, model evaluation and deployment.
  • Data Driven and highly analytical with working knowledge and statistical model approaches and methodologies (Clustering, Regression analysis, Hypothesis testing, Decision trees, Machine learning), rules and ever evolving regulatory environment.
  • Proficient in recognizing Star Schema and SnowFlake Schema and ODS design for modeling Information stockroom in Relational, Dimensional and multidimensional model.
  • Strong Data Modeling background utilizing ER chart, Dimensional information demonstrating, Star Schema demonstrating, Snow-piece displaying utilizing apparatuses like Erwin, Visio.
  • Well versed in Forward and Reverse Engineering standards.
  • Experience with different RDBMS like Oracle 9i/10g/11g, SQL Server 2005/2008, DB2 UDB, Teradata.
  • Extensive involvement being developed of T-SQL, Oracle PL/SQL Scripts, Stored Procedures and Triggers for business rationale execution.
  • Experience in designing stunning visualizations using Tableau software and publishing and presenting dashboards, Storyline on web and desktop platforms.
  • Develop dashboards and reports that adhere to the visualization best practices and communicate a story
  • Competent communicator and confident presenter to report analytics findings to members of senior management.
  • Assisted in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management
  • Creative in putting together projections for a variety of scenarios to assist departmental experts in making future decisions regarding the organization’s growth.

TECHNICAL SKILLS:

Database: MySQL, Oracle, MariaDB, HeidiSQL

Methodology:: Agile/ SCRUM framework, and Waterfall.

Analytics Technologies and Packages: Microsoft Excel (Lookup, Pivot, macros), RDBMS, HeidiSQL, Oracle Database, SQL Server, Google Analytics, R & Python

Data Visualization: Tableau, MS Excel

Certification: Project Management Certification Program (SDCE, Pursuing).

Statistical Skills: Data Analysis, Business Analysis, Agile methodology, Project Management, RP Implementation, Requirement Gathering & Machine Learning, SPSS

Tools: MS Word, MS PowerPoint, MS Project 2016, MS Visio, MS Excel, Google Analytics, Balsamiq, JIRA

PROFESSIONAL EXPERIENCE:

Confidential, Franklin Lakes, NJ

Data Analyst

Responsibility

  • Gathered and analyzed business requirements, interacted with various business users, project leaders, developers and also took part in identifying different data sources.
  • Involved with Data Analysis primarily Identifying Data Sets, Source Data, Source Meta Data, Data Definitions and Data Formats.
  • Generated new data mapping documentations and redefined the proper requirements in detail.
  • Involved with Data Analysis primarily Identifying Data Sets, Source Data, Source Meta Data, Data Definitions and Data Formats.
  • Involved in creating charts and graphs of the data from different data sources by using Matplotlib and SciPy libraries in python.
  • Performed data imputation using Scikit-learn package in Python.
  • Visualizing the data with the help of box plots and scatter plots to understand the distribution of data using Tableau, Python libraries.
  • Involved in exhaustive documentation for technical phase of the project and training materials for all data management functions
  • Conducted major stakeholder interviews involving SME’s, Business Analysts and other stakeholders
  • Analyze customer data in Python using Matplotlib, Seaborn to track correlations in customer behavior, define user segments to implement process and product improvements.
  • Strong knowledge of statistical methods (regression, hypothesis testing, randomized experiment), data structures and data infrastructure.
  • Proficient in statistical Modeling techniques (Linear, and Logistics) in Forecasting/Predictive Analytics, Segmentation methodologies, Regression- based models, Hypothesis testing.
  • Identified and compiled common business terms for the new system that become central part of communication among project stakeholders to avoid ambiguity to determine the requirements.
  • Created action plans to track identified open issues and action items related to the project
  • Prepared analytical and status reports and updated the project plan as required

Environment: PowerPoint, MS Visio, MS Excel, MySQL, T-SQL, Tableau, Python, Jeera, MS Access

Confidential, Dallas, TX

Data Analyst

Responsibility

  • Converted data into insights by predicting and modeling future outcomes.
  • Utilizing MS SQL, Tableau, and other dashboard tools for data intelligence and analysis.
  • Collected and analyzed data on established and prospective customers, competitors, and marketing channels and sources.
  • Prepared reports that interpret customer behavior, market opportunities and conditions, market results, trends, and investment level
  • Solved client's analytics problems and effectively communicating results and methodologies
  • Developed segmentation, propensity, and look-alike modeling of individuals across known, identified and anonymous audiences
  • Used Statistical techniques for hypothesis testing to validate the data.
  • Managed the planning and development of design and procedures for metric report.
  • Optimized data collection and procedure to generate reports weekly, monthly and on quarterly basis.
  • Used advanced MS excel to create Pivot table and Pivot reports.
  • Investigate and conduct studies on the forecasts and demand, and capital of products.
  • Worked with applications like R and Python to develop neural network algorithms, cluster analysis.

Environment: MS Excel, SQL, MS vision, MS PowerPoint, Tableau

Confidential

Data Analyst

Responsibility

  • Evaluated and preprocessed raw information to present and explain information in an accessible way (e.g. budgeting reports)
  • Teaming with all stakeholders to build 'as-is' and 'to-be' business process flow documentation using Microsoft Visio, as well as conduct gap/deficiency identification and analysis, including cross functional members
  • Worked on Requirement Traceability Matrix (RTM) for traceability of requirements
  • Worked in all phases of project life cycle and in different SDLC methodologies such as Waterfall and Agile.
  • HealthCare management experience in projects involving the customization, design, development, implementation, and testing of automated systems to support the Medical Management Information System (MMIS) as well as day-to-day business operations
  • Supporting all the documents with UML Diagrams such as Use Case Diagrams, Class Diagrams, Activity Diagrams, Data Flow Diagrams, Sequence Diagrams, Process Flows (Business and System) using UML modeling tools such as MS Visio and Rational Rose
  • Organized many Joint Application Development (JAD) sessions and Joint Requirement Planning sessions (JRP), walkthrough, Interviews, Workshops and Rapid Application Development (RAD) sessions with end-user/clients/stakeholders and the IT group
  • Developed reports interactive dashboards and internal procedures.
  • Supported multiple internal levels of management in the evaluation of initiatives.
  • Maximized effectiveness of analysis programming and reporting.
  • Prepared executive level presentations for management and clients.

Environment: MS Excel, SQL, MS Visio 8, MS PowerPoint, MS Office

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