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Microsoft
Data Scientist
June 16, 2026 – Present
Sentiment-Analysis-Using-LSTMs
April 10, 2020 – April 10, 2020
This project aims to teach a model to classify movie reviews as positive or negative.
View ProjectTransfer-Learning
November 16, 2018 – January 14, 2019
Transfer learning using VGG16 on Fish dataset from Kaggle.
View ProjectMalware-Detection-using-Deep-Learning
October 17, 2018 – November 10, 2019
Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malware files. Then, by the trained model, we try to classify a file as malware or not. By using malware images and deep learning, we can detect malware fast since we do not need any static analysis or dynamic analysis.
View ProjectLibrary-Management-System
February 20, 2018 – October 17, 2018
Online Library-Management-System using Django, SQLite3 database with full requirement analysis and SRS. Along with rudimentary automated testing using Selenium.
View ProjectParallel-addition
November 8, 2017 – October 17, 2018
Parallel addition of very large two N digit numbers using different approaches - MPI, OpenMP and sequential code and comparing the results for the same.
View ProjectIntrsion-detection
November 3, 2017 – November 10, 2017
Intrsion-detection — GitHub repository
View ProjectOnline-Shopping
September 25, 2017 – January 14, 2019
An online shopping web application in PHP with a MySQL database. Also uses some front-end languages like JS, NodeJS.
View ProjectISTE_SY_2017
August 27, 2017 – September 1, 2017
Scotland yard app for the academic year 2017-2018
View Projectrec_website
July 18, 2017 – March 6, 2019
A web application to manage registrations for any organization.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a broad range of interests, from web development (Django, PHP) to parallel computing (C++) and data science. While this indicates versatility, the sheer number of diverse, relatively small personal projects without clear depth in any single area might suggest a lack of focused specialization. The target role is Data Scientist, and while several projects align, the overall breadth might indicate a less focused approach to skill development. The candidate's experience level is listed as 0, but they are currently employed as a Data Scientist at Microsoft, which is contradictory and requires clarification. Assuming the experience level of 0 is accurate, the cultural fit is moderate due to the lack of professional experience and the broad, unfocused nature of personal projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but no direct communication or psychometric test results are available for evaluation.