Projects
Few of the projects that I have worked on in addition to my professional experience.
PowerBI Dashboard
Created a Dashboard in PowerBI with the IPL data available on Kaggle. The dashboard was useful to view the the player performance by seasons, venue, city etc.
InvestRight Application
IT Specialist
Created an Prototype for a FinTech Hackathon which allows non-financial people to invest their money in stock market and buy shares. This was done by allowing the user to insert their budget and the percentage yield of their preference along with a specific level of variation that their are willing to tolerate. The algorithm within the app would value the various share prices of the top Fortune 500 companies and create top 3 portfolios for the user. Our team won the first prize in the hackathon.
Eat what you read: Effect of online
restaurant reviews on the customer’s
decision to choose a restaurant.
Conducted a research on the factors that affect the Rating of the restaurants on Zomato.com and whether online reviews have an effect on the ratings. The research helped in answering two questions:
1) The effect of online reviews on the consumer’s decision to choose a restaurant
2) The correlation between the online reviews and the ratings of the restaurant.
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Both the researches were concluded with the help of regression models in SPSS and R Studio.
The conclusion of research was that online reviews played an important in consumer’s decision to choose a restaurant. On the other hand the average polarity score of the reviews, number of photos and the average cost for two people had an effect on the rating of the restaurant.
Social Media as a Medium to expand the User Base in U.A.E - An Insight into Spotify
Conducted a research in identifying the problems that Spotify faces in the Arabia region after its recent launch.
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With the outcome of the analysis, the company could present customised solutions to its users,
thereby facilitating personalised experience. That could only be possible when profiling of the user is done i.e., the data that is extracted from different social media should be curated and matched with the user details stored in CRM.
