Aayush Saxena

Data Scientist

https://talent.gravityer.com/aayush-saxena

AI Systems Engineer | Production GenAI & MLOps | Designing, Deploying & Scaling AI Systems

Gurgaon, Haryana, India

Key Strengths

Demonstrated interest in various machine learning applications through personal projects.
Experience with common data science tasks like text classification, spam detection, and image recognition.
Familiarity with Jupyter Notebook for data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on machine learning and data science, which aligns with a Data Scientist role. However, all projects are personal and primarily use Jupyter Notebook, suggesting a potential lack of experience in collaborative development environments or production-level deployment. The breadth of skills is limited to specific ML algorithms and Python within Jupyter.

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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Assessing your cultural and operational fit

Projects

Text_Classification_using_LSTM

February 1, 2023 – February 7, 2023

Text Classification using LSTM

View Project

Twitter_Sentiment_Analysis_NLP

October 8, 2022 – October 8, 2022

This was an assignment in an Data Science interview.

View Project

my_repos

September 26, 2022 – October 3, 2024

This repository has a list of all my work that has been uploaded on GitHub.

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Decision_Tree_Implementation

August 15, 2022 – October 8, 2022

Complete implementation of DecisionTreeClassifier for evaluating car prices

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Spam_Email_Detection

June 7, 2022 – July 2, 2022

Spam_Email_Detection — GitHub repository

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Devanagri_Character_Recognition

June 5, 2022 – June 5, 2022

Used Keras models to predict Devanagri Characters with accuracy of 97.95 %

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Semi_supervised_Learning_For_Malenoma_Detection

May 26, 2022 – June 26, 2022

Trained CNN model on GAN for Binary Classification

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Naive_Bayes_Classifier

November 27, 2021 – September 26, 2022

Naive_Bayes_Classifier — GitHub repository

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Breast-Cancer-Detection

September 5, 2021 – October 26, 2022

Breast cancer prediction for a large population dataset on the basis of Random Forest Classifier and checking the accuracy of the model

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AIML

July 6, 2020 – February 26, 2021

This repository is for practice for Python programming

View Project

Key Strengths

Demonstrated interest in various machine learning applications through personal projects.
Experience with common data science tasks like text classification, spam detection, and image recognition.
Familiarity with Jupyter Notebook for data science workflows.

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.

Aayush Saxena

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit