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Software Engineer at Microsoft. RVCE '19.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Microsoft
Data Scientist
June 19, 2026 – Present
Smart-Monitoring-Wheelchair
January 11, 2021 – January 11, 2021
This is the code for a health monitoring and object detection wheelchair that uses q-learning
View ProjectLeetcode-Practice
January 11, 2021 – January 11, 2021
Solution to some popular interview questions on leetcode using C++
View ProjectData-Mining-Classification-using-R
January 11, 2021 – January 11, 2021
Using R to identify best classification algorithms for datasets of different sizes
View ProjectSmart-Career-Prediction-based-on-Personality
January 11, 2021 – January 11, 2021
This project uses Recurrent neural networks with bidirectional LSTM to predict personality from text, and collaborative filtering to assign career based on iterative feedback
View ProjectSmart-Music-Player-based-on-Emotion-Recognition
December 2, 2020 – December 2, 2020
This project uses music feature extraction and clustering. Following this, the emotion is detected from an image using HAAR cascade classifier and fisher face classification.
View ProjectCapacity-Optimizer-API
November 29, 2020 – November 29, 2020
Predicts the cluster usage pattern based on the features extracted from time and kubernetes cluster.
View ProjectBeat-The-Calamity
October 11, 2018 – October 26, 2018
A project for Disaster Management using Satellite Images and Social Media Posts
View ProjectMoodSeek
October 2, 2018 – June 17, 2019
MoodSeek helps identify the user’s mood based on their social media activity, and suggests music, books, movies, quotes and images that might appeal to the user.
View ProjectSmartMusicShuffler
September 15, 2018 – January 11, 2021
Smart music shuffler uses feature extraction and affinity propogation to detect emotion in music, and uses a sliding window based sequence prediction technique to suggest songs based on user's history
View ProjectCultural Fit Analysis
The candidate's portfolio of personal projects showcases a strong passion for data science and a continuous learning mindset, which aligns well with an innovative and growth-oriented culture. The diversity of projects, from emotion recognition to disaster management, indicates a broad interest and adaptability. The current role at Microsoft as a Data Scientist further supports alignment with a tech-driven, data-centric environment. However, without specific psychometric test results, a deeper cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual with a strong interest in applying data science to diverse problems. The variety of projects suggests an ability to work independently and explore different domains. However, without specific assessment data for soft skills, a definitive operational fit cannot be fully determined.