Business Intelligence Analyst Level III Resume NJ - Hire IT People

SUMMARY:

I am a Senior Business Intelligence Analyst with 13+ years of experience. Equipped with a master’s degree in Business Intelligence & Analytics, I have expertise in SQL and extensive experience in data analytics programming languages such as R and Python. I have completed several projects involving statistical theories & machine learning techniques including linear and logistic models, decision trees, and clustering. In addition, I have knowledge in big data technologies and can handle projects in Hive, Spark, and Pyspark. I am willing to learn new technologies and looking forward to applying my skills in a challenging data analytics role.
Data and Quantitative Analysis
Predictive Modelling: Regression, classification, market segmentation, PCA
Data Modelling for complex scorecards
Proficiency in SQL Query and optimization
Machine Learning Algorithms
Data Mining & Visualization tools
Business Intelligence
Research, Reports & Forecasting
Big Data Technologies
Hypothesis testing
Advance Excel Functionalities

TECHNICAL SKILLS:

RDBMS: Oracle, Microsoft Access

Programming Languages: SQL, PL/SQL

Big Data Languages: Apache Hive, Apache Spark, Scala, PySpark

GUI: Business Objects all suites, BO Universe Designer, IDTSAP Explorer, Info Spaces, SAP Dashboards, Tableau

Data Analytics Languages: R - Programming, Python programming

Statistical Tools:: SAP Enterprise Miner, SAS JMP, Excel, Web Intelligence

PROFESSIONAL EXPERIENCE:

Business Intelligence Analyst Level III

Confidential, NJ

Responsibilities:

Gather requirements for data analytics and other business projects.
Work with stakeholders to understand the requirements, bottlenecks, opportunities, financial obligations, and expected results.
Work with DBAs to locate data sources, collect and integrate data from multiple sources.
Identify and handle data integrity issues.
Prepare data for statistical analysis that involves handling null values and data normalization through imputation and transformation techniques.
Select features, build, and optimize classifiers using machine learning techniques.
Develop statistical models including regression, decision tree, random forests, principal component analysis (PCA), and clustering using R and Python.
Work with business experts to validate the models to ensure accuracy and efficacy.
On the business side, optimize high-profile Business Objects Universes for reporting and data analytics utilizing data mining and modelling.
Mentor Reporting and Data Analytics teams, code complex scorecards and reports.
Working Experience in designing and developing applications in Spark using Scala.
Design and create Hive external tables with partitioning.
Good programming Knowledge on Spark core, Spark SQL using Scala and Python.
Working knowledge of tools in Hadoop Ecosystem including Pig, Hive, HDFS, Map Reduce, Spark, and PySpark

Reporting Analyst

Confidential, NJ

Created Commission Database and automated several important reports such as Pipeline, Conversion, and daily commission report programming macros and skills, which resulted in reducing time required for report generation by 75% and accuracy.