Business Analyst Resume

SUMMARY

Performed extensive data studies to understand the statistical behaviors of the upstream machines
Designed and implemented data ingestion techniques for real time data coming from various data sources
Built predictive analytics models to generate actionable insights
Implemented clustering and segmentation techniques
Performed business analysis by defining the requirements. Designed BRD, Functional specifications
Data Collection and exploration (Python, R) + Data Visualization
Financial Analytics
Big Data and NoSQL Expertise
Natural Language Processing (NLP)
Possess strong analytical and problem solving skills; effective leader with excellent skills in motivating individual employee performance

AREAS OF EXPERTISE

Product Development
Business Analytics
Data Science
Python, R, Tableau
Statistics
Regression Modelling
Data Mining
Machine Learning
Data Wrangling
Big Data
Spark
SCALA
NoSQL
Retail Banking
Sales and Marketing
Performance Engineering

TECHNICAL SKILLS

Analytical Tools: SQL, R - Studio, Jupyter Notebook, Tableau, XLMiner, NodeXL, STATA, @Risk, Graph Database, H2O, AtScale

Programming: R, Python, SCALA, Cypher, R - Data Manipulation, Analytical Packages, Shiny R, Python - Data Manipulation, Numpy, Pandas, Matplotlib, Plotly, Scikit learn (machine learning libraries and others)

Big Data: Spark, Hive, Kafka, Pig, Apache Drill, Dremio, Flume, Sqoop, HBase, Impala, Hadoop, HDFS, YARN, MapReduce, Spark - Spark Core, Spark SQL, Spark Streaming, MLlib, GraphX, PySpark, Scala, Data Frames, and SparkR

NoSQL: Neo4j, MongoDB, Cassandra

Others: AWS, Mainframe, DB2, Cognos, SQL Tunining, Java Basics, SAS E-Miner

PROFESSIONAL EXPERIENCE

Confidential

Business Analyst

Responsibilities:

Analyzing the claims data for over payments and leakage of claims. Building the predictive models and cost analysis
Developing Realtime scoring models
Involved from design to implementation of machine learning models
Defining the requirements for data lakes/pipe lines
Perform extensive studies of different technologies and capture metrics by running different algorithms
Converting the SAS algorithms into different technologies like PySpark
Automated the scripts using Python
Developed data mining applications using PySpark
Along with other data ingestion tools used PySpark for data ingestion and data transformations
Transforming or extracting the features using PySpark for semi structured data
Perform an extensive data studies to understand the statistical behaviors
Applied machine learning algorithms to identify the overpayments
Design and implement data ingestion techniques for real time data coming from various source systems
Defining the data layouts and rules and after consultation with ETL teams
Designed technical and business process flow for the upcoming advance analytics project
Conducting trainings to different teams to adopt Big Data technologies
Defining the metrics for the Big data analytics proof of concepts
Leading the projects to achieve key business objectives
Handled the implementation activities and provided Post implementation support

Confidential

Business Analyst

Responsibilities:

Data analysis using open source tools
Defining the requirements for data lakes/pipe lines
Perform an extensive data studies to understand the statistical behaviors
Predicted the application score and the behavioral score of the customers by applying ensemble methods (Regression methods and random forests)
Developing predictive models
Applied machine learning algorithms
Developed the applications in PySpark framework
Design and implement data ingestion techniques for real time data coming from various source systems
Creation of regulatory reports and analysis. Defining the data streams
Defining the data layouts and rules and after consultation with ETL teams
Built predictive models for cross selling the products
Sales forecasting was done using time series forecasting
Designed technical and business process flow for the coming advance analytics project

Confidential

Business Analyst

Responsibilities:

Data analysis using open source tools
Defining the requirements for data lakes/pipe lines
Automated the scripts using Python
Forecasted quality issues and defined cautionary measures
Applied clustering and segmentation methods for product offerings
Reports creation and analysis. Examples include Currency level report(CLR), Account Level Report(ALR) and other reports.
Defining the data streams
Interacting with all the stakeholders and defining and making sure that the data flows are fine

Confidential

Business Analyst

Responsibilities:

Preparing BRD and traceability matrix
Preparing Functional Design Documents based on Gap Elaboration Document and BRD.
Defining the functional test cases and functional flows.
Review of test cases
Performing UAT
Review of functional design documents

We provide IT Staff Augmentation Services!

We'd love your feedback!

Resume Categories

Client Services

Job Seekers

Visa Sponsorship