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Programmer

PROFESSIONAL SUMMARY

Result oriented Professional with 2 years experience as Data Analyst. Possess strong analytical and communication skills with capability of managing challenging project environments, gathering requirements, performing exploratory data analysis and data visualization, writing technical documentation and handling clients. Fluent in Python and SQL.


EDUCATION

University of North Carolina at Charlotte, Masters in Computer Science (GPA 3.6/4.0) Aug 2016- May 2018 (specialization in Data Science)


SKILLS


Languages

Python, Java, R, Scala


Databases

SQL, PL/SQL, MongoDB ,postgressql


Machine Learning

Pandas, Numpy, scikit, NLTK


Data visualization

Tableau, seaborn, matplotlib, D3.js


Deep Learning

Tensorflow, Keras


Big Data

Spark (MLlib,Spark streaming, Sparksql)


Web technologies

Bootstrap, Django, JavaScript, Jquery, HTML, CSS


Other skills

AWS, A/B Testing, Google Analytics, Statistics, Git


PROFESSIONAL EXPERIENCE


Nichi-In, Data Analyst

Bangalore, India Aug 2015 - May 2016


Environment : SQL, Python, Tableau, Javascript, MS Excel, Windows, Java, Bootstrap


  • Fetched necessary data from databases which had user name, location, groups, age and other details necessary for data analyses.
  • Identified and translated these factors into SQL tables .
  • Conducted Data cleaning and preprocessing using Python and MS Excel.
  • Created SQL and Python Scripts to support data pipelines for visualizations.
  • Provided analytics support to swimIndia application by creating Interactive Dashboards in Tableau
  • Analyzed the popularity of swim meets among users using clustering .
  • Created visualizations of swim meet performances using D3.js
  • Architected and Implemented complete task tracking application both backend and frontend for the team using Bootstrap, Java, MVC Framework.


Accenture, Database Analyst, Bangalore, India Jun 2014 - Jul 2015


Environment : SQL, Python, PL/SQL, Unix, Dollar Universe, Windows, Oracle 10g, Tableau


  • Designed and implemented SQL scripts on a daily basis to fetch financial data for clients
  • Independently designed and developed prototype of new data reporting feature including creating blueprint for expanding to new users to get daily outstanding balance in market. Implemented using Unix, SQL scripting.
  • Performed Query optimization to reduce time of scheduled jobs from 6 hours to less than 1 hour achieving significantly better performance.
  • Created Python scripting to parse XML files and gather information on Trade orders. Thus creating a documentation to address frequent service requests saving 10 manhours per sprint.
  • Effectively developed and automated report generation using SQL, Unix an Dollar Universe to schedule jobs to generate csv files with required data for Business Analysts.
  • Performed debugging and fixing the errors in application on critical scripts.

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