Data Analyst Resume
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TECHNICAL SKILLS
PROGRAMMING: Python • Java • R • C Scala • Matlab • SAS
Databases: Oracle (PL/SQL)* MySQL* Mongo Db* Postgre SQL* Apache
Hadoop Tools: Spark*Pig* Hive* MS Excel * Qlikview * Tableau * Google Analytics * R - Studio*AWS
Statistical Methods: Hypothesis Testing * ANOVA * CLT
Packages: Scikit-learn*pandas* tensorflow* Matplotlib*seaborn* ggplot2* Keras
PROFESSIONAL EXPERIENCE
DATA ANALYST
Confidential
Responsibilities:
- Acquired and Integrated data from multiple sources using Denodo and by formulating complex SQL Queries
- Created Visualizations, Dashboards and reports utilizing Tableau, Qlikviewand interpret trends or patterns that tell compelling story
- Performed Data Analysis on both source data and target data after transfer to Data Warehouse.
- Created action filters, parameters and calculated sets for preparing dashboards and worksheets in Tableau.
DATA ANALYST
Confidential
Responsibilities:
- Data Extraction and analysis were done using TransUnion CIBIL credit reports where CIBIL is one of the largest collection of consumers Data globally.
- Analysis were done before giving approval for the loan, related to factors like Credit Score, Homeownership, Purpose of the loan, Term length of the loan, loan amount, income, Employee or not, Previous bankruptcy fraud.
- Predicted the risk of the customers, the responsiveness of the targeted population and predicted the appropriate customers for the business from that information.
- Data Handling, Maintenance and Analysis were done using Python and Tableau.
- Environment: Python, Tableau, Sckit-learn, Matplotlib, Pandas, Hadoop) Multilingual Optical Character Recognition Systems Project
- Conducted research on Deep learning to develop a Tamil character recognition system using Convolutional neural network and
- Published a paper at © Springer international publishing Switzerland and presented at CSI-2015
- Enhanced statistical models (linear mixed models) for predicting the characters using Machine Learning KNN, Neural Networks and Deep Learning.
- Researched and implemented comparative studies of standard procedures for designing Transliteration tools that helps the visually impaired listen to text in native Indian languages (OCR, Spark, tensorflow, Keras, Python, CV2, Sckit-learn, Matplotlib, Pandas, Tableau)
- Develop code, statistical models, dash boards and presentations as per client requirements
- Work with clients to understand their business problems and articulate the problem with an analytics framework