Aisha Aijaz Ahmad

Data Scientist

https://www.opentalent.in/aisha-aijaz-ahmad

Amateur.

IIITD

Key Strengths

Demonstrated interest in Data Science and AI ethics through personal projects like 'expected-moral-shortfall' and 'moral-decision-dataset'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to machine learning concepts (e.g., 'learning_svm') and data analysis (e.g., 'pyspark_trial').
Current role as a Data Scientist at IIITD, indicating direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on ethical AI and moral decision-making, which could be a unique asset. However, the project diversity outside of this specific niche is limited. The candidate's experience level is listed as 0, which contradicts the current 'Data Scientist' role, suggesting a potential mismatch in self-assessment or a very early career stage. The projects are all personal, which is common for entry-level, but for a senior role, more collaborative or industry-scale projects would be expected.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.

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Projects

expected-moral-shortfall

August 2, 2025 – Present

This repository consists of code, documentation, tutorials, and other related artefacts related to the Expected Moral Shortfall (EMS) model. This model aims to incorporate ethical competence into AI systems with enhanced flexibility in terms of moral consideration and implementing diverse schools of thought.

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moral-decision-dataset

January 23, 2025 – May 20, 2025

This repository contains code files and documentation pertaining to the Moral Decision Dataset (MDD). The MDD describes real-world cases, associated parameters, and case-based moral decisions.

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LLM_Project

December 17, 2024 – Present

LLM-based legal reasoning dataset pipeline for extraction, summarization, augmentation, and validation

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ApplEDoc

August 27, 2024 – August 28, 2024

ApplEDoc — GitHub repository

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ApplELODEDoc

December 29, 2023 – December 29, 2023

This is the website for the ApplE Ontology.

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applied-ethics-ontology

November 23, 2023 – October 12, 2024

This repository contains the Appl-E (applied ethics) ontology and related artifacts.

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aishaaijazahmad.github.io

September 26, 2023 – Present

My portfolio website

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pyspark_trial

November 2, 2020 – November 2, 2020

learning to use Apache Pyspark queries for data analysis

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learning_svm

September 10, 2020 – September 10, 2020

learning_svm — GitHub repository

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Sleep-Stage-Scoring

December 16, 2018 – December 16, 2018

A collection of functions used for the Sleep Stage Scoring application based on ensemble algorithms.

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Key Strengths

Demonstrated interest in Data Science and AI ethics through personal projects like 'expected-moral-shortfall' and 'moral-decision-dataset'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to machine learning concepts (e.g., 'learning_svm') and data analysis (e.g., 'pyspark_trial').
Current role as a Data Scientist at IIITD, indicating direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.

Aisha Aijaz Ahmad

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit