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Data Scientist | Deep Learning | LLMs
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
VoIP
October 18, 2021 – October 19, 2021
Voice over IP web application built using Express, Socket.IO and Node JS along with an interactive front-end.
View ProjectRSNA-Pneumonia-Detection
September 21, 2021 – September 21, 2021
Performing Pneumonia Detection and Segmentation from DICOM images. Data provided from the Kaggle competition RSNA Pneumonia Detection Challenge
View Projectarcade.js
July 19, 2021 – October 25, 2022
The Project is a Multigame Platform that is intended to allow users to play old Arcade games, each developed by different team members incorporating HTML, CSS, and JavaScript with DOM Manipulation and jQuery.
View ProjectML_Challenge_NRSC
July 19, 2021 – November 19, 2021
IEEE-ICETCI 2021 is organizing a Virtual Competition in association with RRSC-Central, NRSC, ISRO, Nagpur on ‘Machine learning based feature extraction of Electrical Substations from Satellite data using Open-Source tools’, and will take place from 1 March to 30 July, 2021.
View ProjectCovStats
May 22, 2021 – November 15, 2021
A Data Science Web App implementing Elasticsearch, Kibana and RASA to track Covid stats and generate visualizations. Made for the web using ReactJS
View ProjectPollution-and-the-Pandemic
April 11, 2021 – January 16, 2022
Full stack machine learning project, with data visualization and analysis of the air quality of India, the effect of the pandemic on pollution, and performing Time Series Forecasting on the data using Facebook Prophet to predict future values of the AQI. Interactive and engaging website designed and the model and backend deployed on a local host using Flask.
View ProjectOptical-Character-Recognition
February 5, 2021 – October 13, 2021
Converting any image with printed text into a downloadable text file. All with the help of Python and deployed with Streamlit.
View ProjectNSAC-Skywalkers
October 3, 2020 – February 1, 2022
Easy Space Data Access - Making space data more accessible for people ranging from space enthusiasts to astronomers and researchers.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which are related to data science and machine learning. This indicates self-motivation and a passion for the field. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The diversity of projects, including web development and C++, suggests a broad interest in technology, but the depth in Data Science is primarily through personal initiatives.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication styles.