Resume

HARINI KANNAN

Irving, Texas

Phone: 5049080045, Email: harini.kannan@mavs.uta.edu

LinkedIn: https://www.linkedin.com/in/harinikannan  

 

SUMMARY

Business Data Analyst, with experience in extracting useful insights from past data and developing stable machine learning and statistical predictive models using R, Python, SQL, ML Azure, Hadoop MapReduce, Spark and Hive.

TECHNICAL SKILLS

Programming – R, Python, Spark, Hadoop MapReduce, SQL, SAS

Machine Learning  Recommender Systems, Text Analytics, Random Forest, Decision Trees, Gradient Boosting, Support Vector Machine, Artificial Neural Networks

Data Analysis – Data wrangling and exploration, Feature Engineering, Predictive model building, Model selection, Model Evaluation and Metrics, Cross Validation, A/B Testing

Statistical Analysis – ANOVA, Multiple Regression, Confidence intervals, Hypothesis testing, Significance Tests

ML Azure – Data Cleaning and exploration, building Machine Learning models

Data Analysis Tools    – ML Azure, Tableau, MS Excel, SAS Enterprise Guide, Weka, SAP, Power BI

Financial Analysis  Balance sheet, Income statement and Cash Flow Analysis, Financial Ratio Analysis, Portfolio    Analysis, Credit Risk Modeling

EDUCATION

UNIVERSITY OF TEXAS, ARLINGTON  December 2017

Master of Science – Business AnalyticsGPA: 3.7

Relevant Coursework:  Advanced Business Statistics, Economic Analysis, Web and Social Analytics, Predictive Modeling using R, Principles of Business Data Mining, Big Data Analytics, Measurement and Analysis for Business Decision Making, Economic Forecasting using R.

DATA SCIENCE AND DATA ENGINEERING BOOTCAMP, Austin – January 2017

Attended a 5 Day – boot camp on Data Science, Data Engineering and Machine Learning, conducted by Data Science Dojo, at AT&T Executive Education Center at University of Texas, Austin.

SCSVMV University, India – May 2011

Bachelor of Engineering – Electronics and Communication Engineering – GPA: 4.0

DATA ANALYTICS PROJECTS

  • Temporal structural model embedded in a logit framework in R, to predict whether a customer would renew the service contract with a company based on past incidents and various factors variables.
  • Research for Washington Nationals: Random Forest model in R, to predict “Pitch Type”.
  • Pricing and Sales Analysis for a store, based on Advertisement expenditure, Rebates and a seasonal factor for Christmas. Also developed a methodology that would easily facilitate Model Selection.
  • XGBoost model in R to predict the interest level in each Rental Listing in a Real-estate website.
  • Predicted Survival Rate on Titanic, using Random Forest in R.
  • Random Forest model in R and PySpark, to predict housing prices, for a competition in Kaggle.com.

SCHOLARSHIP

Awarded the Wayne Watts scholarship for the year 2016-2017, at University of Texas, Arlington.

PROFESSIONAL EXPERIENCE

Cognizant Technology Solutions, IndiaProgrammer Analyst – September 2011 – July 2014           

  • Quality Assurance Engineer in a Social Networking project that helped members of the organization connect with peers in various innovative ways and also track the progress of their respective projects.
  • Member of Agile Scrum Testing team, Specialized in Regression testing and UAT.
  • Software Testing Lifecycle, preparing Understanding document, Test plan and strategy, developing and executing test cases, Regression testing, User Acceptance testing
  • ISTQB (International Software Testing Qualification Board) Certified
  • Awarded “Exceeded All Expectations” – the highest rating in the year-end appraisal in Cognizant Technology Solutions, for logging the highest number of defects that was brought to closure.