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Projects

This section of my portfolio highlights the projects I have taken part in and contributed significantly to. These projects boosted my understanding of concepts and how to implement them in real-life scenarios. 

IoT and connected technologies

Grade-B+

In this project, we wanted to incorporate IoT into a toothbrush to enhance the experience of the user and also promote dental hygiene. We used sensors to gamification to achieve the results we desired. An app which adds points when a user brushes promotes healthy competition, and the sensors in the brush tells the user how their brushing pattern is which can be sent to the doctors during their check up.

Capstone

Grade-B+

For our capstone project, we took Voltran. They are an EV charging station company who are present in Andhra Pradesh and Telangana. They came to us with a challenge to give them investment opportunities. We conducted primary and secondary research, collected data, found insights through analytics and came up with recommendations for them to improve their revenue and where to invest their money in the future.

Marketing Analytics

Grade-B+

The diabetes dataset analysis leveraged various techniques, including EDA, data resampling, logistic regression, decision tree, and random forest models, to gain insights into factors influencing diabetes risk. The balanced dataset and enhanced predictive modeling approach enabled accurate identification of high-risk individuals, supporting targeted healthcare interventions. This data-driven strategy forms a strong foundation for optimizing preventive measures and improving diabetes management across different population groups

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Data Analytics with Excel

Grade-B+

We used a dataset straight from the RBI yo understand the correlaion of currencies on each other. The currencies used were USD, YEN, GBP, EUROS. We understood the effect of economic events such as the fed hike rate or the US election on the currencies and how they behave with each other. Some core concepts used in the project were, multiple regression, correlation analysis, dummy variables and visualization.

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