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Operations Analyst well versed in SQL, Looker, Python, Tableau @HimanshiKhatwani

About Me

I love playing around with data with my analytical skills to build side projects around business problems and anything which seems intriguing to me. I love the intersection of Business + Tech since it gives me the right amount of challenge yet growth. Currently working as an Operations Analyst in Tide(fintech). I look forward for being a Project Manager in long term.

RFM-Customer Segmentation

In this project,I have used Superstore dataset provided by Kaggle to uncover the most loyal, slipping customers and where are they from to provide insights for targeted marketing communications.

Bike Share Data Analysis

In this project,I have used dataset provided by Motivate to uncover bike share usage patterns and compare the system usage between three large cities: Chicago, New York City, and Washington, DC.

Netflix Data Analysis

In this project, I explore number of Netflix movie titles which are either Movie or TV Show, most tiltes come under which rating, ost Movie/ TV Show titles are given which rating and which country had most releases.

Superstore Data Analysis

In this project, I have analysed which region has least sales, how are the sales of each category is divided across the regions, how are the Sales across each segment, which State has the lowest sales and which City has the lowest sales.

Prediction-Unsupervised ML

In this project, I tried to find optimum number of clusters in an Iris dataset using K_Means. I used libraries like pandas, matplotlib, seaborn and numpy.

Phone

+91 810-479-7881

Email

himanshikhatwani@gmail.com

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