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Nishesh Nakka

New Jersey

Languages

English
Bilingual or Proficient (C2)
Hindi
Bilingual or Proficient (C2)
Telugu
Bilingual or Proficient (C2)

Summary

An Aspiring Entry level Data Analyst with knowledge of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information using Python,R,SQL and Excel.

I am a citizen of the United States of America,so I would not be needing visa sponsorship.

Education

Bachelor of Science - Computer Science Engineering

BITS Pilani Dubai
Dubai.UAE

Certification

  • Google Data Analytics Professional Certificate - Google
  • Fundamentals of Visualization with Tableau - UC Davis
  • Google Crash Course on Python - Google

Skills

  • Data Analysis
  • Python Programming
  • SQL
  • Excel
  • R programming
  • Tableau

Projects

Data Cleaning using SQL

Link : https://github.com/Nishesh07/Data-Cleaning-SQL

  • Using the Nashville housing data containing more than 50,000 rows of data
  • Using various SQL data cleaning functions to clean data so that it is organized and ready for Analysis.

Data Exploration with SQL

Link : https://github.com/Nishesh07/Data-EXPLORATION-SQL

  • Using Microsoft SQL to explore the two data sets on India's Census
  • Using joins, group by and other complex queries to analyze data and finding out on the top and bottom states in each category of the dataset.
  • Using aggregate functions like avg,count to gain more insights on the Data

Data Analytics Using Python

Link : https://github.com/Nishesh07/Data-Analytics-Python

  • Using python on Jupyter Notebook to analyze the movies data consisting of the budget,revenue,etc
  • Using Various Python Libraries like Numpy,pandas,Matplotlib and seaborn to perform Data cleaning and visualizing data.
  • The end goal was to find correlation between the gross-profit and Budget of the films using the regplot,heatmap functions in Seaborn Library.

SQL and TABLEAU

Link : https://github.com/Nishesh07/SQL-and-TABLEAU

Link: https://public.tableau.com/app/profile/nishesh8719

  • Using SQL to Analyze a product sales data using group by and other aggregate functions.
  • Using Tableau Public to Visualize the data for easier understanding of each products data.
  • Creating Dashboards to make it easier in viewing all the data.



Work Availability

monday
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friday
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morning
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Quote

Success is walking from failure to failure with no loss of enthusiasm.
Winston Churchill
Nishesh Nakka