Microsoft

One Deploy Team in Azure Compute
Worked in TIP ( Testing in Production) using C#, .NET Framework, Kusto Query Language

Software Engineer Intern

I worked on the problem statement of Data Analysis related to the Automotive Industry. The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis.
Structure:
The home page consists of an about section, a services section and a contact section where in the section you will find three options i.e, car Sales Analysis in Ukraine, Car Sales Analysis in US and Car Price Prediction.
In the first section, there is Car Sales Analysis in Ukraine where there are different queries answered related to recent Car Sales in Ukraine in form of different visualization using Plotly.
The next section consists of Car Sales Analysis in US where different quires are answered in form of visualization related to Car Sales in US. The user get to know about the different trends in automotive industry.
The last section consists of Used Car price prediction where the Machine Learning Model uses the Lasso Regression to predict the price of the car.
The prediction section consists of forms that take few different features as input from the user in a given specified range. The most relevant features are taken into consideration for prediction also these features.
So the user can get a complete analysis of the current trends related to the automotive industry and Car Sales.
The web application is built using python library -> Flask and Web Programming languages -> HTML, CSS, Bootstrap. The entire application is finally deployed on Heroku.

After submitting a project, I was advanced to the interview round and after clearing the AA interview round I am offered the SWE Internship by Microsoft.

Microsoft Engage Mentee 

Harvard WECode: Women Engineers Code Conference

Harvard WEAmplify Scholar

Script Winter of Code

Contributed to ML projects and documentation-related ML  (9 PRs Merged). I did projects on Machine Learning such as Mall customer segmentation, Student Performance in Exams, and many others(Supervised as well as Unsupervised Learning). I am selected as a Top Contributor and attained a Rank of 13 there.

Open Source Contributor

As a Software Engineer Intern at Microsoft, I worked on the One Deploy Team in Azure Compute, where I use C#, .NET Framework, and Kusto Query Language to implement Testing in Production (TIP) features. I enjoy applying my coding and problem-solving skills to create scalable and reliable cloud solutions that enhance user experience and satisfaction.

I am also a final year student of B-Tech in Information Technology at the Institute of Engineering & Management (IEM), where I have a keen interest in Machine Learning and Data Analysis. I am an active Open Source Contributor and a winner of several hackathons and coding competitions, such as SacHacks, JUSPAY Namma Yatri, and GFG Solving For India. I have received multiple scholarships and recognitions, such as the Harvard WECode'22 Scholarship, the Google WE Scholarship Finalist. I am always eager to learn new things and seek new opportunities to challenge myself and grow as a software engineer.

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