ANIKET PATEL

Data Scientist

https://talent.gravityer.com/aniket-patel

Ex-SWE Intern @Viasat | Ex-SWE @splunk, @crestdatasystems

San Francisco, Canada

Key Strengths

Demonstrated interest in various technologies including cloud (AWS, Terraform, CloudFormation), containerization (Docker, Kubernetes), and web development (JavaScript, React, Node.js).
Experience with Python and Jupyter Notebooks, which are relevant for data science.
Project 'PathfindingVisualizer' shows algorithmic thinking and implementation skills.
Project 'distributed-computation-for-rich-clients' indicates an interest in machine computation and facial image recognition, aligning with data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a proactive learning attitude and a broad interest in various technical domains, including DevOps, web development, and some data science-related areas. This breadth suggests adaptability and a willingness to explore new technologies, which can be a positive cultural fit for dynamic environments. However, the direct alignment with a senior Data Scientist role is limited, as most projects are not deeply focused on advanced data science concepts, machine learning engineering, or statistical modeling.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

PathfindingVisualizer

October 20, 2024 – October 23, 2024

A project demonstrating popular pathfinding algorithms (Dijkstra, A*, BFS, DFS) and maze generation algorithms (Recursive Division, Binary Tree). It provides a visual and interactive approach to understanding how these algorithms solve maze problems and find efficient paths in grid-based environments. Ideal for learning algorithmic behavior.

View Project

distributed-computation-for-rich-clients

September 13, 2024 – October 21, 2024

This project is dedicated on research regarding the Distributed Machine Computation for Facial Image Recognition for Rich Clients.

View Project

GraphQL-StepFunctionAPI

February 13, 2023 – April 20, 2023

GraphQL-StepFunctionAPI — Dev.to repository

View Project

Jenkins-k8s-demo

December 27, 2022 – December 27, 2022

Jenkins-k8s-demo — Dev.to repository

View Project

terraform_aws-vpc_setup

January 29, 2022 – January 29, 2022

terraform_aws-vpc_setup — Dev.to repository

View Project

AWS-CloudFormation-templates

October 2, 2021 – October 2, 2021

AWS-CloudFormation-templates — Dev.to repository

View Project

python-containerize-app

September 9, 2021 – September 12, 2021

python-containerize-app — Dev.to repository

View Project

FoodEasy

August 27, 2021 – October 6, 2021

FoodEasy — Dev.to repository

View Project

docker_nodejs_demo

July 16, 2021 – September 2, 2021

docker_nodejs_demo — Dev.to repository

View Project

docker-react-app

May 3, 2021 – September 2, 2021

docker-react-app — Dev.to repository

View Project

Key Strengths

Demonstrated interest in various technologies including cloud (AWS, Terraform, CloudFormation), containerization (Docker, Kubernetes), and web development (JavaScript, React, Node.js).
Experience with Python and Jupyter Notebooks, which are relevant for data science.
Project 'PathfindingVisualizer' shows algorithmic thinking and implementation skills.
Project 'distributed-computation-for-rich-clients' indicates an interest in machine computation and facial image recognition, aligning with data science.

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.

ANIKET PATEL

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit