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young budding data scientist and decision analyst willing to share my thoughts and seeking guidance for my projects
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Buckman International
Data Scientist
June 20, 2026 – Present
Predictive-Maintanence-gvoilpumps
October 20, 2022 – November 3, 2022
Predictive-Maintanence-gvoilpumps — GitHub repository
View ProjectBig-data-RFM-Analysis
August 29, 2022 – August 29, 2022
Big-data-RFM-Analysis — GitHub repository
View ProjectAuthorship-attribution-of-presidential-speechs-in-R
July 13, 2022 – July 13, 2022
Sentiment Analysis of the speeches given by presidents of the US during their election. Classifies speeches based on the author's(president) pattern and usage of words using machine learning. R for implementing data processing and ML modeling, NLP for processing text data and sentiment analysis
View ProjectCovid-tracker-news-analyzer-detector
July 13, 2022 – July 13, 2022
Description: A complete cloud-deployed web app that contains: A COVID tracking dashboard built using Plotly and dash A COVID fake new classifier using natural language processing A COVID detector using parallel convolutional neural networks Language/ Libraries: Python for implementing ML models, Flask for local deployment, and Amazon web services for cloud deployment
View ProjectNo-code-ML-app
July 12, 2022 – July 12, 2022
A zero code machine learning app for data processing and modelling
View Projectguhan93
March 1, 2021 – June 12, 2021
Interested to combine tireless hunger for new skills with the desire to exploit cutting-edge data science technology
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong initiative and passion for data science, aligning with a culture that values continuous learning and practical application. The diversity of projects (e.g., sentiment analysis, predictive maintenance, COVID tracker) suggests adaptability and a broad interest in problem-solving. The current role as a Data Scientist at Buckman International indicates direct alignment with the target role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying new technologies. The variety of projects suggests an ability to work on diverse problems. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is not possible.