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NK

Niranjan Kulkarni

@nirukulk1996

Looking for full-time opportunities

India

About

Current

Graybar Electric Company

Education

University of Illinois at Urbana–Champaign (UIUC), Champaign

More about me

Data Analyst

Badges

Python
Sql

Work Experience

  • Lead Data Analyst

    Graybar Electric Company | December 2019 - Present

    • Automated collection of 25000+ product pricing from competitors’ websites on Google Cloud and Microsoft Azure by web scraping HTML and JSON data to run every week • Devised a model to scrape data by parallel processing using threading and queuing decreasing the time taken by 75% and validated data sets with statistical tools and analysis • Deployed interactive dashboards with Tableau Online and Power BI (on SharePoint) which displayed interpreted data queried using Google BigQuery for faster decision making and price analysis • Preprocessed email data on Python using Natural Language package NLTK for transforming datasets into an understandable format

  • Data Analyst

    Graybar Electric Company | May 2019 - December 2019

    • Directed team of 3 to develop mapping visualization tool by utilizing Google Map APIs that allowed warehouse executives to compare normal vs optimized routes for better assessment of route optimization algorithms • Product Development - Engineered prototype to provide strategic direction for scenario planning of various branches in Graybar using a stratification model based on productivity and profitability KPIs • Delivered presentations to an audience of 25+ to demonstrate the prototype which had an impact on staffing across Graybar branches • Automated data gathering and cleaning process of complex datasets extracted from HANA database for data analysis and increased the data quality by 13% by using Pandas and Numpy packages

  • Lead Data Analyst

    Illinois Geometry Lab | January 2019 - May 2019

    • Headed team of 4 to collaborate with Healthcare Department of Urbana-Champaign and delivered presentations on predicting inspection scores of restaurants from data collected for over 19000 restaurants in Champaign county • Implemented predictive models like linear regression and 2-layered Neural Network algorithms for inspection score prediction with mean square error of 14.93 and 6.79 respectively

Education

  • University of Illinois at Urbana–Champaign (UIUC), Champaign

    Industrial Engineering, MS | August 2018 - December 2019

    Relevant Coursework: Deep Learning, Stats of Big Data and Clustering, Algorithms for Data Analytics, Network Analysis of Systems, Supply Chain Management and Logistics, Operations Research Models of Manufacturing Systems

  • PES College of Engineering, Mandya, India

    Mechanical Engineering, BE | August 2013 - June 2017

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