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Microsoft
Data Scientist
June 16, 2026 – Present
Eye-Strain-Detection
August 24, 2020 – September 8, 2020
A computer-vision based web app that continuously monitors your blinking rate, in real-time. If you don't blink enough, it reminds you to do so through desktop notifications.
View ProjectDSAlgo-Anukriti
December 6, 2019 – December 6, 2019
This project will be in the form of a series of assignments. It will be 1 assignment per 1-2 weeks depending on difficulty. It would cover specific topics or a range of general ones, as preferred by the mentee.
View ProjectReddit-Flair-Detector
September 7, 2019 – September 8, 2019
Reddit-Flair-Detector — GitHub repository
View ProjectSong-Lyrics-Generation-Using-Markov-Chains
August 16, 2019 – August 30, 2019
A character-based probabilistic model that generates new text based on previous n-grams
View ProjectAir-Quality-Prediction
July 18, 2019 – July 18, 2019
Predicting air quality based on 5 features using multivariate linear regression
View ProjectReal-Time-Face-Recognition
July 9, 2019 – August 25, 2019
Face detection, recognition and mapping in real time
View ProjectMovie-Rating-Prediction
June 29, 2019 – June 29, 2019
[Incomplete] Sentiment Analysis of movie reviews to predict the sentiment of the review as positive or negative
View ProjectPerson-of-Interest-Classifier
March 17, 2019 – June 16, 2019
Used financial and e-mail data of a corporation to predict persons of interest in the fraud case that led to bankruptcy of the company.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning with a Data Scientist role. However, the projects are all personal and lack team collaboration or real-world business context, which might indicate a need for development in a collaborative professional environment. The experience level is listed as 0, despite a current role at Microsoft, which creates an inconsistency. The breadth of skills is focused primarily on Python and Jupyter Notebook for data science, with limited exposure to other enterprise-level tools or diverse domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed test.