Aadil Srivastava

Data Scientist

https://www.opentalent.in/aadil-srivastava

Just a curious software engineer

Amazon

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects (e.g., ValueLabs ML Hiring Challenge, Global Wheat Detection, UNET_orig).
Experience with Jupyter Notebook for data science workflows.
Exposure to various programming languages including Python, C++, and some web technologies.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards competitive programming and personal ML/DS challenges, which suggests a self-driven and problem-solving mindset. However, the projects are predominantly personal and lack explicit team collaboration or leadership roles. The current role at Amazon as a Data Scientist (starting in 2026) is a strong indicator of role alignment, but without details on responsibilities or achievements, it's hard to fully assess cultural fit beyond individual contribution.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.

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

ds-algo24

January 3, 2024 – April 30, 2024

About My solutions to various data structure and algorithms problems Resources Readme

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mypage

June 26, 2022 – July 3, 2022

mypage — GitHub repository

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aadil-srivastava01

June 18, 2022 – June 29, 2022

aadil-srivastava01 — GitHub repository

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ds-algo

June 1, 2022 – August 30, 2022

My solutions to various data structure and algorithms problems

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nvidia_triton_fastai

November 28, 2021 – January 6, 2022

fastai_experiment_to_deployment

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Hacktoberfest2021

October 2, 2021 – October 5, 2021

For all the developers out there make your first Pull Request and earn a free Tee from GitHub!

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Global-Wheat-Detection

February 27, 2021 – March 18, 2021

Repo for Kaggle Global Wheat Detection competetion

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UNET_orig

August 16, 2020 – August 16, 2020

Implementation of original UNET architecture from the paper: U-Net: Convolutional Networks for Biomedical Image Segmentation

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captcha_recognition

August 10, 2020 – August 12, 2020

captcha_recognition — GitHub repository

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value_labs_hackthon_top-0.5-

October 31, 2019 – October 31, 2019

My Approach for ValueLabs ML Hiring Challenge on HackerEarth that got me shortlisted

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects (e.g., ValueLabs ML Hiring Challenge, Global Wheat Detection, UNET_orig).
Experience with Jupyter Notebook for data science workflows.
Exposure to various programming languages including Python, C++, and some web technologies.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.

Aadil Srivastava

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit