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KPMG Assurance and Consulting LLP
Data Scientist
June 17, 2026 – Present
Interview-Prep-Website
October 26, 2021 – October 26, 2021
Interview-Prep-Website — GitHub repository
View ProjectEmotion-AI
April 7, 2021 – April 14, 2021
Artificial emotional intelligence or Emotion AI is a branch of AI that allows computers to understand human nonverbal cues such as body language and facial expressions. The aim of this key project is to classify people's emotions based on their facial images.
View ProjectOnline-Retail-segmentation-of-customers-based-on-RFM-using-K-Means-Clustering
April 2, 2021 – April 2, 2021
Implemented this case study using K-Means Unsupervised Machine Learning in python environment under the academic course of Artificial Intelligence.
View ProjectCustomer-segmentation-analysis-using-K-Means-Clustering
April 2, 2021 – April 2, 2021
Implemented this case study using K-Means Unsupervised Machine Learning in python environment under the academic course of Artificial Intelligence.
View ProjectClustering-of-iris-flower-species-using-K-Means-Clustering
April 2, 2021 – April 2, 2021
Implemented this case study using K-Means Unsupervised Machine Learning in python environemnt under the academic course of Artificial Intelligence.
View ProjectPredicting-Fraud-in-Financial-Payment-Services
March 31, 2021 – March 31, 2021
Predicting-Fraud-in-Financial-Payment-Services — GitHub repository
View ProjectWorld-Wide-Womens-Problems-2018
March 31, 2021 – March 31, 2021
World-Wide-Womens-Problems-2018 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on academic exercises and personal interests in data science. While demonstrating initiative, the lack of diverse team projects or contributions to open-source initiatives makes it difficult to assess cultural fit beyond individual technical interest. The target role is Data Scientist, which aligns with the project themes, but the depth of experience is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the current role at KPMG is listed with a future start date, suggesting limited professional experience. Project descriptions are brief.