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Business Intelligence Resume

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SUMMARY

  • A Motivated, results - driven individual seeking a role within a challenging and rewarding environment. I am looking to expand my professional development and am both a self-learner and technical hands-on professional.

TECHNICAL SKILLS

  • Analysis and development in Hadoop, Hive, Mapreduce, Pig, PySpark,Hbase | MSBI Suite SSIS, SSRS, SSAS |Excel, R, Python, Weka, SAS, IBM Watson. Power BI, Tableau, Qlik, OBIEE. HTML, CSS, MySQL, Unix, shell scripting, Azure, SQL, RDMS, Jquery, Jpath, NoSql, Mongo db. Regular expressions, MS excel, SQL/PL, Google analytics.
  • Statistical, data mining, classification and NLP techniques.
  • Training and testing models. (Distribution Fitting, Probabilistic models, Naïve Bayesian. ANOVA, and Linear/Logistics Regression, KNN, K- means, Random Forest. Design of Experiments, Classifications, normalization, CNN, clustering
  • Jira, Viso, MS Office, SQL, MS Access, SAP crystal reports, Microsoft Reporting, Microsoft suite, Adobe, accounts/financial reporting. Tensor-flow
  • HP Quality Centre administration, Load Runner and QTP Total quality management.
  • Kafka, Sqoop, Oozie java

PROFESSIONAL EXPERIENCE

Business Intelligence

Confidential

Responsibilities:

  • Worked on multiple projects, elicited requirement from business stakeholders. Identified project objectives, worked with project manager to identify gaps from a BA and IT analyst perspective.
  • Led and conducted a change management initiatives, improved a workflow cycle. Implemented changes are expected to decrease coordination time by 25% one the system rolls out.
  • Assisted in work/data flow and timelines, made UML diagrams, use case and business case by scope by user perspective.
  • Created ETL pipe extraction, Aggregate, Execute SQL Task, Data Flow Task, and Execute Package Task etc.
  • Worked with transforming errors into automatic findings as sent as email. This found code, package failure notifications.
  • Transformed legacy data to fit Hadoop lakes, OLDB. Created ETL package for OLEDB / Hadoop Source and OLEDB / Hadoop destination.
  • Created package configuration in XML and used to deploy packages into SQL Server.
  • Facilitated JAD sessions, conducted interview, Q and A sessions with business users.
  • Data mining, cleaning, translating, dashboards for analysis, ensured correct implementations and detect anomalies, investigated in a timely manner.
  • Developed dashboards using segmented strategy to increase efficiency, planned policies and helped in execution. Rapid turnaround, research-using Machine learning to resolve issues.
  • Created quantitative and qualitative analysis metrics, briefed senior management and executive teams, enabling them to improve their analytical products to maximize.
  • Translated customer survey questions, open-ended questions used text/sentiment analysis.
  • Developed data report that would leverage strategy using statistics and data to make a more result driving decision-making. Proposed new strategies for automated analysis and development.
  • Developed databases, tools, queries and reports for analyzing, summarizing any board failure with data. Versed in finding patterns and trends analysis, in complex multi-variable data sets.
  • Created and delivered presentations to business teams.

Platform: SQL, Hadoop, DAX, Microsoft BI, Power Bi, R, Google Analytics, python and tensor flow.

Business Intelligence - Tableau Specialist

Confidential

Responsibilities:

  • Worked on multiple initiatives, identified project objectives, requirements, investigate and effectively communicated recommendations.
  • Created a data reports and BI-dashboards that would leverage strategy using statistics and data to make a more result driving decision-making.
  • Developed process flow diagram/ activity diagrams, test cases, use case.
  • Segmented strategy, planning and execution in agile development.
  • Building large-scale team communications.
  • Sources (internal and external) management, policies and monitoring along with executive and operational reporting.
  • Financial forecasting and budgeting. Governance, Audit, regulatory and compliance reviews
  • Development of policies and controls, End to end data base development to visualization.
  • Worked effectively with internal stakeholders, and effectively communicated recommendations.
  • Worked with output of algorithm from AI, customer quality and loyalty and rewarding system.
  • Used semantic analysis, along with statistical modeling to show before and after of case scenario’s.

Platform: lucid charts,SQL, Excel, Hadoop, R and Tableau.

Business intelligence, strategy and data sciences Consulting

Confidential

Responsibilities:

  • Worked on multiple projects, elicited requirements from business stakeholders. Identified project objectives.
  • Led and conducted a change management initiatives, improved a workflow cycle. Implemented changes are expected to decrease coordination time by 5-15% one the system rolls out.
  • Assisted in work/data flow and timelines, made UML diagrams, use case and business case by scope by user perspective.
  • Facilitated JAD sessions, conducted interview, Q and A sessions with business users.
  • Data mining, cleaning, translating, analyzed data on dashboards, ensure correct implementations, and detect anomalies, investigated in a timely manner.
  • Translated customer survey questions, open-ended questions used text/ sentiment analysis.
  • Created a data report that would leverage strategy using statistics and data to make a more result driving decision-making.
  • Conducted quantitative and Qualitative analysis on matrices, briefed senior leader and management, enabling them to improve analytical products to maximize by goals.
  • Led and conducted a change management initiatives, improved a workflow cycle. Implemented changes are expected to decrease coordination time by 25% one the system rolls out.
  • Assisted in work/data flow and timelines, made UML diagrams, use case and business case by scope by user perspective.
  • Generated various business opportunities for the firm by participating in the managing proposals.
  • Business strategy plans, bids, proposals, marketing strategy and Data reporting.
  • Produced databases, tools, queries and reports for analyzing, summarizing any board failure with data. Versed in fining patterns and trends analysis, in complex multi-variable data sets.
  • Major projects included sales forecasts

Platform: SQL, Excel, R-Studio, SAS, Hadoop (hivesql, pyspark, Mapreduce, Pig, Hbase), R, HDFS and Tableau.

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