saransh7

Data Scientist

https://www.opentalent.in/saransh7

Senior Data Scientist @Coupa

Coupa

Key Strengths

Demonstrated experience with Python for machine learning and data science tasks.
Familiarity with deep learning frameworks like Keras for sequence-to-sequence models and RNNs.
Experience in natural language processing (Match-LSTM, encoder-decoder models).
Exposure to time series forecasting models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on personal, academic-style projects, primarily in deep learning and NLP. While relevant to a Data Scientist role, the lack of diverse project types (e.g., collaborative, production-oriented, business-impact focused) and the absence of detailed descriptions for their current role at Coupa make it difficult to fully assess cultural fit for a senior, collaborative environment. The 'experienceLevel' is 0, which contradicts the current 'Data Scientist' role at Coupa, suggesting a potential data discrepancy or very early career stage. This impacts the cultural fit assessment for a senior role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.

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Assessing your cultural and operational fit

Projects

time-series-forecasting

February 12, 2020 – February 21, 2020

An implementation of generalized time series forecasting models

View Project

saransh7.github.io

February 11, 2020 – January 6, 2023

saransh7.github.io — GitHub repository

View Project

encoder-decoder-keras

February 4, 2020 – February 10, 2020

A naive implementation of seq2seq model using keras and encoder decoder mechanism

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Match-LSTM-Keras

January 29, 2020 – January 31, 2020

A Keras Implementation of Match-LSTM and Answer Pointer for Machine Comprehension

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count-of-1s-keras

January 29, 2020 – January 29, 2020

Given a binary string (a string with just 0s and 1s) of length 20, determine the count of 1s in a binary string using RNNs

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Courses

April 9, 2018 – September 14, 2018

Codes and References for IITK Courses

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k-match-lstm

February 10, 2018 – September 8, 2018

k-match-lstm — GitHub repository

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onCreate

October 1, 2016 – February 10, 2020

Text-to-Speech Android App

View Project

Antaragni-App

September 29, 2016 – October 19, 2016

Antaragni-App — GitHub repository

View Project

Key Strengths

Demonstrated experience with Python for machine learning and data science tasks.
Familiarity with deep learning frameworks like Keras for sequence-to-sequence models and RNNs.
Experience in natural language processing (Match-LSTM, encoder-decoder models).
Exposure to time series forecasting models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.

saransh7

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit