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Assessing your cultural and operational fit
reddit-search-capstone
March 14, 2026 – Present
Research project for a custom Information Retrieval (IR) pipeline for educational subreddit analysis.
View ProjectProduct-Supplier-Solution
September 29, 2022 – September 29, 2022
It is a REST API build using Java and Spring Boot.
View ProjectSample-Codes
June 23, 2020 – October 31, 2020
It contains solutions to sample problems in java.
View ProjectEpamTraining
March 7, 2019 – October 31, 2020
It contains all the assignments and codes of the pre-placement training program by Epam.
View ProjectDengue-Disease-Spread-Prediction
January 22, 2019 – March 30, 2019
This project is to predict the spread of dengue disease in a particular location.
View ProjectMachine-Learning
December 23, 2018 – February 14, 2019
It contains all the assignments and codes of the machine learning course by Andrew Ng of Coursera.
View ProjectFake-Product-Review-Monitoring
September 9, 2018 – April 3, 2022
This project is to moniter the fake reviews from the dataset of the e commerce website like amazon and flipkart.
View ProjectSentimental-Analysis-using-Logistic-Regression
September 1, 2018 – September 4, 2018
Twitter sentimental analysis using logistic regression with apache hadoop ecosystem
View ProjectSkillshare
May 30, 2018 – July 16, 2018
This website provides a social network platform to students to share their skills.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and project-based development, which can be a positive cultural fit for an innovative environment. However, the projects are all personal, lacking team collaboration context. The diversity of technologies (PHP, Java, Python, Matlab) indicates a willingness to learn, but also a potential lack of deep specialization in a single area. The target role is Data Scientist, and while several projects align, the overall breadth of technologies suggests a generalist approach rather than a focused data science background.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.