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Business Intelligence Analyst Resume

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Fall River, MA

SUMMARY:

  • Business Intelligence professional with over 5 years of experience working independently and in collaboration with cross functional teams to deliver high quality data - driven results.
  • Experience in building interactive KPI dashboards to identify trends in the data from multiple data sources
  • Expertise in Statistical analysis, Project Management and Predictive analytics.
  • Highly proficient in Tableau, Python programming and SQL

TECHNICAL SKILLS:

Tools: Python, SAS Base, SAS (JMP, EG, E-Miner), Microsoft Azure, Oracle, SQL, MySQL, SSRS, MS Excel, MS Access, IBM SPSS Modeler, SAP

DW/BI Skills: Tableau, Crystal report, Data Warehouse, OLAP, Data Marts, Dimensional Modeling, Data Mining, ETL, Microsoft BI stack

Statistical Skills: Sampling Techniques, Hypothesis Testing and Confidence Intervals, A/B Testing, ANOVA, Correlation

Machine Learning: Linear regression, Logistic regression, Decision Trees, Random Forest, Time Series Forecasting, K-Means Clustering, NLP

PROFESSIONAL EXPERIENCE:

Confidential

Business Intelligence Analyst, Fall River, MA

Responsibilities:

  • Collaborated with internal business users (Operations, Purchasing, Sales, Finance) to gather and understand the business requirements
  • Extracted and manipulated data (ETL) from relational database to create datasets for data analysis and reporting using Tableau for multiple business areas
  • Developed and Automated business intelligence applications including operational reports, dashboards, scorecards, and ad hoc reporting
  • Performed dimensional modelling and OLAP analysis to build data products for advance analysis
  • Created integrated SQL views from multiple data sources like inventory, sales, operations, and Production in SQL server
  • Troubleshooted SSRS report problem and provided the solution to business users in timely manner
  • Designed a Gantt Chart Tool in tableau to visually analyze the quality of operational data entered into the production database. Improved the efficiency of the operational processes by 20% by identifying data redundancy.
  • Built interactive Dashboard for sales team to analyze top and bottom selling finished products from different warehouse across the organization
  • Built Time Series Forecasting ARIMA model using Python statsmodel library for customer demand forecasting and measured model performance using MAPE

Data Science Analyst

Confidential, Hartford, CT

Responsibilities:

  • Built a Message Resonance Model for EQUALS3 on real - time Twitter and Instagram feeds data to understand the customer sentiments.
  • Utilized Python for cleaning 55 GB of raw data and performed text mining using IBM SPSS Modeler for customer segmentation based on their personality traits.
  • The model will help improve brand marketing for a wide variety of industries for Confidential clients

Confidential

Data Analyst

Responsibilities:

  • Designed Process Flow and Implemented Database Systems for Membership Enrolment in MySQL.
  • Automated the tracking of Membership enrollment using Python scripts, and ETL jobs
  • Generating Automated reports on a periodic basis for management to monitor member enrollment traffic and membership renewals.
  • Cognizant Technology Solutions |Data Analyst |India Sep 2011 - Dec 2015
  • Built business rules and data validation framework to clean, transform and load (ETL) around 700 product attributes data into the SQL database
  • Developed enterprise wide automated workflow for enriching product data attributes thereby improving existing processes and increasing operational efficiency by 33%
  • Automated the data exports with ETL batch Jobs to reduce the manual effort and risk of errors.
  • Created Tableau report/dashboard to measure data quality to help client gain visibility into product completion score metric across 7 products portfolio in NA, EMEA and APAC regions and to track KPI's to aid strategic decision making
  • Full Software Development Life Cycle (SDLC) experience including Analysis, Design and Review of Business and Software Requirement Specifications

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