Aakarsh Jain

Data Scientist

https://talent.gravityer.com/aakarsh-jain

Student at Indraprastha Institute of Information Technology, Delhi

New Delhi, Delhi, India

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through multiple personal projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to Big Data concepts (BDA_Assignments with Scala) indicates foundational understanding relevant to large-scale data processing.
Problem-solving skills evidenced by participation in CSES Problem Set and Algorithm Design and Analysis coursework.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-learning and exploring various technical domains, including competitive programming, computer organization, and data analysis. This indicates a proactive and curious mindset, which can be a good cultural fit for roles requiring continuous learning and problem-solving. The diversity of projects, from low-level systems (Custom-Assembler-and-Simulator) to data-intensive tasks (Kaggle-Jane-Street, BDA_Assignments), suggests adaptability and a broad technical interest.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Kaggle-Jane-Street

July 24, 2025 – July 24, 2025

Kaggle-Jane-Street — GitHub repository

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BDA_Assignments

January 20, 2025 – January 20, 2025

Assignments for BDA course in Monsoon'24

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CSE344-Computer-Vision

February 19, 2024 – November 25, 2024

CSE344-Computer-Vision — GitHub repository

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Codeclass-106

January 22, 2024 – February 1, 2024

codes for codeclass 106

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CP1-2023-CourseMaterial

June 2, 2023 – August 7, 2023

CP1-2023-CourseMaterial — GitHub repository

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CSE222-Algorithm-Design-and-Analysis

February 12, 2023 – April 26, 2023

Coursework for Algorithm Design and Analysis course at IIITD Winter 23

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BlackPanther112358

December 28, 2022 – January 18, 2023

BlackPanther112358 — GitHub repository

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CSES-Solutions

December 26, 2022 – February 19, 2025

Solutions for CSES Problem Set

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Huffman-Compression

December 23, 2022 – December 23, 2022

Assignment on using Huffman Compression done as part of my CSE102 Data Structures and Algorithms course

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Custom-Assembler-and-Simulator

June 27, 2022 – January 17, 2023

Custom Assembler and Simulator made for our Computer Organisation course

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through multiple personal projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to Big Data concepts (BDA_Assignments with Scala) indicates foundational understanding relevant to large-scale data processing.
Problem-solving skills evidenced by participation in CSES Problem Set and Algorithm Design and Analysis coursework.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Aakarsh Jain

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit