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User Experience (UX) Designer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Disaster-Management-App
September 18, 2021 – September 18, 2021
Disaster-Management-App — repository
View ProjectDisease-Prediction-from-symptoms
September 16, 2021 – September 14, 2021
We have used ML models to predict disease from symptoms.
View ProjectPredicting-Kickstarter-Project-Success
August 27, 2021 – November 7, 2021
We predict if a Kickstarter project proposal will succeed in reaching its fundraising goal, using the project launch data of 200k + proposals scraped from Kickstarter.
View ProjectYOLO-Flask
August 10, 2021 – August 14, 2021
A Flask web app that detects humans in a video using the YOLOv3 algorithm.
View ProjectTwitter-video-emotion-and-sentiment-analysis
July 4, 2021 – May 14, 2023
Twitter-video-emotion-and-sentiment-analysis — repository
View ProjectHungrily
June 13, 2021 – February 11, 2023
WiTACE 2021 Hackathon Solution using IBM Watson Assitant and GeoJson which create a common medium to connect the volunteers and users through a data-driven AI-based platform. This web application will enable the one in need to connect with their helper with just a single 'text'.
View Projecthms070501
May 10, 2021 – July 5, 2021
A Hospital Management System made using Java, Netbeans IDE & MySQL DB.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, including web development, data science, and general programming. However, the majority are personal projects, and there is no information on collaborative work or team environments. The alignment with a 'Data Scientist' role is present in several projects, but the breadth of other projects suggests a generalist interest rather than a focused data science background. The lack of professional experience or detailed project descriptions makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and 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.