Somya Tripathi

Data Scientist

https://talent.gravityer.com/somya-tripathi

I'm not a great programmer; I'm just a good programmer with great habits.

New Delhi, Delhi, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python and Jupyter Notebook for data science tasks.
Projects cover various ML applications including NLP (fake news, spam), computer vision (face similarity, cat/dog classifier, skin analysis), and time series (stock sentiment).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong interest in applying machine learning techniques to diverse problems, which aligns with an innovative and problem-solving culture. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit.

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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Projects

speech-to-text-recoginition

May 1, 2023 – May 11, 2023

speech-to-text-recoginition — GitHub repository

View Project

Fake_news_prediction

August 14, 2021 – August 19, 2021

Fake_news_prediction — GitHub repository

View Project

stock_sentiment_analysis

August 13, 2021 – August 13, 2021

stock_sentiment_analysis — GitHub repository

View Project

Spam_Classifier

August 12, 2021 – August 12, 2021

Spam_Classifier — GitHub repository

View Project

skin_analysis

November 8, 2019 – November 8, 2019

skin_analysis — GitHub repository

View Project

Face-Similarity-On-CelebA

October 23, 2019 – November 1, 2019

Face-Similarity-On-CelebA — GitHub repository

View Project

Face-Similarity-On-BioID_DB

October 20, 2019 – November 1, 2019

Face-Similarity-On-BioID_DB — GitHub repository

View Project

cat_dog_classifier

June 26, 2019 – June 26, 2019

cat_dog_classifier — GitHub repository

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Basic_concept_tensorflow

June 10, 2019 – June 10, 2019

Basic_concept_tensorflow — GitHub repository

View Project

pandas_cheet_sheet

June 4, 2019 – June 9, 2019

pandas_cheet_sheet — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python and Jupyter Notebook for data science tasks.
Projects cover various ML applications including NLP (fake news, spam), computer vision (face similarity, cat/dog classifier, skin analysis), and time series (stock sentiment).

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.

Somya Tripathi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit