AMAN

Data Scientist

https://talent.gravityer.com/aman-43

University of Zurich

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects.
Experience with various ML algorithms (Naive Bayes, SVM, Linear Regression, Logistic Regression, Random Forest, ANN) and unsupervised learning.
Practical application of ML to real-world data (COVID-19 prediction, agriculture, customer segmentation).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects and hackathons, indicating a self-starter attitude. However, the current experience at the University of Zurich is listed as current with a future start date, and no skills are associated with it, making it difficult to assess alignment with a senior Data Scientist role. The project diversity is good within the data science domain, but the breadth of technologies outside of core ML/DS tools is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

podium

February 8, 2026 – Present

podium — GitHub repository

View Project

aman-arya.github.io

November 9, 2025 – November 9, 2025

aman-arya.github.io — GitHub repository

View Project

IVDA-Ranking

July 10, 2025 – Present

IVDA-Ranking — GitHub repository

View Project

Multi-Label-Adam

July 3, 2025 – July 3, 2025

Multi-Label-Adam — GitHub repository

View Project

MASTER-THESIS

April 27, 2022 – April 27, 2022

Fourier Analysis and its Application to Roth's theorem

View Project

Percentage-Probability-Evaluation-for-COVID-19

May 3, 2021 – May 3, 2021

I have applied Machine Learning algorithm namely Naive Bayes, SVM, linear regression , Logistic Regression ,Random Forest, ann and unsupervised learning on realtime data containing clinical feature of “patients seen at the Hospital Israelita Albert Einstein in Brazil''. I was able to predict the percentage probability for a person to be infected with COVID-19 with good accuracy

View Project

Linguistic-Analysis-of-Research-Publications

December 4, 2020 – December 6, 2020

Linguistic-Analysis-of-Research-Publications — GitHub repository

View Project

Any-Body-Can-Dance

September 1, 2020 – September 1, 2020

Any-Body-Can-Dance — GitHub repository

View Project

Janatahack-Customer-Segmentation

August 10, 2020 – August 10, 2020

Analytics Vidhya Janata Hack conducted on 1st & 2nd Aug 2020

View Project

Janatahack-Machine-Learning-in-Agriculture

July 26, 2020 – August 10, 2020

Analytics Vidhya Janata Hack conducted on 25th & 26th July 2020

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects.
Experience with various ML algorithms (Naive Bayes, SVM, Linear Regression, Logistic Regression, Random Forest, ANN) and unsupervised learning.
Practical application of ML to real-world data (COVID-19 prediction, agriculture, customer segmentation).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

AMAN

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit