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Intelligence Analyst Data Scientist

Location:
Dallas, TX
Posted:
June 09, 2021

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Resume:

Dallas, Texas *****

adm04h@r.postjobfree.com

Barath Vishnu Vijay Anand +1-214-***-****

www.linkedin.com/in/barath-vishnu

Education

Master of Science in Business Analytics (Data Science Specialization) Jan 2020 - Present University of Texas at Dallas

Bachelors in Electrical and Electronics Engineering Jun 2014 - Apr 2018 PSG College of Technology, Coimbatore, Tamilnadu, India Work Experience

Business Intelligence Analyst Intern, Veritas Technologies LLC, USA May 2021 – Present

• Worked with internal customers and business operations resources to develop strategic reporting, dashboarding and data solutions across Global Services.

• Created global operational templates, scorecards to compile and standardize disparate information that drive standardized reporting and metrics tracking.

Data Scientist, Mu Sigma Business Solutions Pvt Ltd, Bangalore, India Oct 2018 – Nov 2019

• Built a classification algorithm for a telecom company, identified patterns in customer attrition, predicted churn rate with an accuracy of 95%.

• Developed a Time Series Forecasting model for an European retailer, to predict their sales, achieved an accuracy of 94%.

• Led the design thinking workshop to provide direction on the design of trade promotion management system for a CPG manufacturer.

• Identified and Proposed the opportunity of extending the existing solution to trade promotion optimization creating potential for additional revenue.

• Developed an ETL pipeline for data ingestion, manipulation and designed a self-serving dashboard to track trade expenditure across Asian markets.

• Held regular interaction with the stakeholders, acted as liaison between the technical and business teams to help them determine the key metrics that are needed to make business decisions. Academic Project

Stock-Bot (Automation Anywhere) Jan 2020

• Created a bot using RPA tool to extract data from Securities and Exchange Commission website to be uploaded into excel file and analyse the best stock to invest.

Predicting Current Market Values for Houses (Python) November 2020

• Aggregated data through Web APIs, performed data wrangling and data cleaning for more than a million records. Implemented Feature Engine Pipelines, used GridSearch to find best hyperparameters and best performing algorithms using Ensemble learning.

Electricity Demand Prediction through Analytics Jan 2018

• Acquired Energy consumption data, performed EDA using Python, used SAP Lumira for Data Visualization to understand consumption trends.

• Proposed seasonal exponential smoothing procedure to build a prediction model accommodating seasonal variations. Skills

• Programming Languages: Python, R, Pyspark, C, SQL, SAS BI/Data Viz: Power BI, Tableau Big Data: Hadoop, Sqoop, Kafka, Impala, Hive RPA tools: Automation anywhere, Blue Prism Cloud: Microsoft Azure, Azure Devops, Google Cloud Platform, AWS, Adobe Analytics Machine Learning Libraries: Pandas, Numpy, Scikit learn,matplotlib, seaborn Leadership Skills and Awards

• Member Entrepreneurs Club, PSG college of Technology, Coimbatore Jun 2015 - Mar 2016

• Won the best project award for 2018 at PSG College of Technology Mar 2018

• Treasurer, Vaalmeengal Tamil Sangam (VTS), University of Texas at Dallas Apr 2020 - Present

• Member Dean’s Council, University of Texas at Dallas Sep 2020 - Present

• Mentor, Business Analytics Leadership Council, University of Texas at Dallas Sep 2020 - Present



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