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Anoushka Narang | Gravity Talent Portal

Anoushka Narang

Anoushka Narang

Computer Science Lecturer

https://talent.gravityer.com/anoushka-narang

Computer Science & Applied Math Undergraduate at IIITD

@IIITDelhi

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

IndiaMember since June 13, 2026

https://talent.gravityer.com/anoushka-narang

Top Skills

JavaPythonShellJavaScript

Skills

JavaPythonShellJavaScript

Experience

@IIITDelhi

Computer Science Lecturer

June 13, 2026 – Present

Projects

multimodal-open-ie

June 7, 2023 – June 12, 2023

MMIE is a multimodal open information extraction library for constructing Mutimodal Knowledge Graphs (MMKGs).

EMMKG-IP

May 11, 2023 – May 12, 2023

EMMKG-IP — GitHub repository

heroku

November 5, 2022 – November 5, 2022

heroku — GitHub repository

FancyRISC-Manager

July 13, 2022 – August 30, 2021

Contains assembler and simulator for the given RISC ISA, made in Python.

CO_M21_Assignment

August 11, 2021 – August 27, 2021

Starter repository for Computer Organization, Monsoon 2021 semester, assignment at IIITD

CO-Assignment

August 10, 2021 – August 15, 2021

CO-Assignment — GitHub repository

Co-Assignment

August 9, 2021 – August 27, 2021

This is for our CO assignment

FancyRISC-Manager

August 5, 2021 – August 30, 2021

Contains assembler and simulator for the given RISC ISA, made in Python.

Mafia-Game

March 24, 2021 – March 24, 2021

A version of the famous Mafia Game

Cache-Mapping

November 29, 2020 – August 14, 2021

Storing data in 16-bit multilevel Direct Mapped, Associative, N-way Set Associative cache memory

Key Strengths

Experience in Computer Organization concepts (Cache-Mapping, RISC ISA)
Proficiency in Python and Java, relevant for teaching programming
Projects demonstrate understanding of fundamental computer science topics

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic/personal and align well with foundational computer science topics, which is suitable for a lecturer role. However, the breadth of technologies and project types is somewhat limited, focusing heavily on Python and computer architecture simulations. The target role 'Computer Science Lecturer' aligns with the candidate's stated current role, suggesting a clear career path.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.