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Microsoft Student Community
Data Scientist
June 22, 2026 – Present
Crowd-Anomaly-Detection
May 28, 2023 – August 31, 2024
This project aims to detect deviations from normal crowd behaviors in densely crowded environments. Leveraging camera surveillance systems, the project addresses the challenges of modeling crowd behaviors and the need for automatic crowd monitoring.
View ProjectHuman-Activity-Recognition
April 28, 2023 – April 30, 2023
This is a GitHub repository containing code for a Human Activity Recognition system using OpenCV and deep learning. The system uses a pre-trained model to recognize human actions in real-time video captured from a camera. The code is written in Python and can be run from the command line.
View ProjectAnimation-Donut
April 8, 2023 – April 8, 2023
To create a spinning donut animation in C programming language, we can use the principles of graphics programming to generate a series of frames that when played in sequence, create the illusion of a spinning donut.
View ProjectE-Commerce-Product-Recommendation
March 23, 2023 – May 26, 2023
E-commerce businesses are always striving to provide personalized experiences to their customers to increase engagement and loyalty. One way to achieve this is through product recommendation systems. In this project, we will build a recommendation system for an e-commerce website using batch processing and stream processing techniques.
View ProjectStocks-Visualizing-and-Forecasting-of-Real-Time-Data
February 13, 2023 – August 29, 2023
This project will create a web application that allows users to visualize and forecast real-time data for stocks using machine learning models. The web application will provide users with relevant information about the companies associated with the stock codes and will allow them to view both historical and predicted stock data in a user-friendly m
View ProjectData-Analysis-Model-to-Help-Reveal-Potential-Infertility-Treatments
January 27, 2023 – March 6, 2023
Data-Analysis-Model-to-Help-Reveal-Potential-Infertility-Treatments — repository
View ProjectGenerate-Random-Points-in-a-Polygon
January 22, 2023 – April 5, 2023
Generate-Random-Points-in-a-Polygon — repository
View ProjectDeep-Learning-and-Machine-Learning
October 20, 2022 – November 17, 2022
Deep-Learning-and-Machine-Learning — repository
View ProjectAn-automatic-Load-Control-Fault-Detecting-on-and-Energy-Billing-System-of-the-home-appliances
July 23, 2021 – September 23, 2023
We like to share our sincere gratitude to all there who help us in completion of this project. The project is a result of dedication effort, it gives us immense pleasure to prepare this project on “underground cable fault detection, automation electricity bill generation system and wireless load control device using GSM Modal”. We would like to thank our principle MR. Pradees Ranjan Traipthy sir for his immense support is preparing this project, we would also like to slow our gratitude to our teachers MR. Arun Kumar Gochhayal {HOD}, MR, Jiban Kuma Jena sir, Mrs., Parati Das and Mrs., Madhusmita Shah who guided us in this project and gave the opportunity to lean and gain experience from this project. All the members of our team is thankful to all the faculties and staff of department of electronics and telecommunication, for their help and support is this support in this project and our team.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science. The diversity of projects (e-commerce, anomaly detection, forecasting, activity recognition) suggests a broad interest in applying data science techniques. However, the lack of professional experience beyond a current 'Data Scientist' role at 'Microsoft Student Community' (which started in the future according to the provided date) and no listed education or certifications makes it difficult to fully assess cultural fit and professional maturity. The projects are all personal, which is good for demonstrating initiative, but lacks team collaboration context.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond project descriptions. The candidate's project descriptions are generally clear, indicating some communication ability.