Guttu Sai Abhishek

Data Scientist

https://www.opentalent.in/guttu-sai-abhishek

Btech CSE, IIT Bombay '22

IIT Bombay

Key Strengths

Strong foundational knowledge in Data Science, particularly in data programming, semi-supervision, and subset selection, evidenced by multiple research projects.
Extensive experience with Python and Jupyter Notebook for data science tasks.
Demonstrated ability to contribute to academic research, with multiple projects linked to published papers (ACL 2021, ACL 2022).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history is heavily focused on academic research and personal projects, primarily in data programming and machine learning. While this demonstrates deep technical interest, there is limited evidence of experience in diverse team environments or projects outside of a research context. The single listed professional experience is current and at an academic institution, which aligns with the project types but doesn't provide insight into broader industry cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric or English test results are available.

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Projects

cs728_assignments

July 7, 2022 – July 7, 2022

Compilation of assignments from CS 728 course at IIT Bombay

View Project

nn_layers

March 23, 2022 – March 27, 2022

An implementation of various basic neural network layers

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SubsetSelection_NAS

February 9, 2022 – August 24, 2024

SubsetSelection_NAS — GitHub repository

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robust-aggregate-lfs

April 30, 2021 – June 5, 2022

Source code of our ACL 2022 paper 'Learning to robustly aggregate labeling functions for semi-supervised data programming'

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Data_Pgm_Subset_Slc

January 24, 2021 – July 21, 2021

Data Programming and Subset Selection

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cords

January 15, 2021 – May 24, 2023

Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

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spear

December 28, 2020 – June 27, 2024

SPEAR: Programmatically label and build training data quickly.

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Semi-Supervised-LFs-Subset-Selection

August 21, 2020 – May 19, 2022

This repository contains source code of our ACL 2021 paper **Data Programming using Semi-Supervision and Subset Selection**

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Texture-Synthesis-by-non-parametric-sampling

August 3, 2020 – April 2, 2022

MATLAB implementation of an Algorithm by Efros and Leung

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GoogleFormsClone

November 6, 2019 – April 2, 2022

SSL project

View Project

Key Strengths

Strong foundational knowledge in Data Science, particularly in data programming, semi-supervision, and subset selection, evidenced by multiple research projects.
Extensive experience with Python and Jupyter Notebook for data science tasks.
Demonstrated ability to contribute to academic research, with multiple projects linked to published papers (ACL 2021, ACL 2022).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric or English test results are available.

Guttu Sai Abhishek

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit