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Data Scientist at Visa
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Point-cloud-classification-with-PointNet
July 13, 2020 – July 13, 2020
Classification, detection and segmentation of unordered 3D point sets i.e. point clouds.
View ProjectImage-Denoising-using-Autoencoder
May 22, 2020 – June 19, 2020
Removing noise from images of Fashion MNIST Dataset using Autoencoder.
View ProjectCredit-Card-Fraud-Detection
May 14, 2020 – May 16, 2020
Handling imbalanced data and using different classifiers to detect fraud.
View ProjectJP-Morgan-Chase-Virtual-Internship
May 11, 2020 – Present
Solutions to Tech Tasks of Internship.
View ProjectFood-Recommendation-Engine
May 11, 2020 – May 13, 2020
To recommend food items based on brand and ingredients.
View ProjectSentiment-Analysis-with-tweets-using-NLP
May 9, 2020 – May 12, 2020
Using NLP and Naive Bayes Classifier to detect sentiment from tweet.
View ProjectHousehold-Power-Consumption-Prediction
May 1, 2020 – June 19, 2020
Prediction of Household Power Consumption using various Machine Learning algorithms.
View ProjectRed-Wine-Quality-Analysis
April 28, 2020 – May 7, 2020
Analysis of Red Wine Quality using various Machine Learning Algorithms.
View ProjectAnt-Colony-Optimisation-for-a-general-TSP
January 28, 2020 – January 28, 2020
Implementation of general Travelling Salesman Problem (TSP) using Ant Colony Optimization(ACO) technique.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and academic in nature, indicating a strong drive for self-learning and exploration in data science. However, there is no information regarding team collaboration, open-source contributions, or community involvement, which are key indicators for cultural fit in a collaborative environment. The breadth of skills is somewhat narrow, focusing heavily on Python and Jupyter Notebook for data science, with a single JavaFX project. The experience level is 0, suggesting a junior profile, which may not align with senior-level expectations for cultural contribution.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.