MS in Information Systems - Big Data Analytics | Data Analyst | Ex-Tata Consultancy Services LTD
Atlanta, Georgia, USA
Tools : Python - Pandas, TextBlob, Scikit-learn, Segmentation - K-Means
Description: A dataset consisting of both movies and series is thoroughly cleaned to make the data more readable and then segmentation using K-means is performed along with evaluation metrics.
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Tools : SQL, SSMS, Tableau Public (Desktop Version)
Description: Inspired by the Instacart Market Basket Analysis challenge from DataLemur 🐒 (Ace the SQL & Data Interview). This analysis dives into Instacart's performance across Q2 and Q3, examining sales at both product and department levels.
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Tools : Python (Pandas, Matplotlib), Jupyter Notebook, Tableau Public (Desktop Version)
Description: The purpose of is to understand how the average salary of job titles in Data Science department varies with respect to different factors. With the help of bar chart and line chart, I have showcased the changes in the salary. I focused primarily on the following columns for my EDA - Job Title, Employment Type, Experience Level, Expertise Level, Company Location, Salary in USD, Company Size and Year.
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