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Sai Laasya Vabilisetty | Gravity Talent Portal

Sai Laasya Vabilisetty

Sai Laasya Vabilisetty

Data Scientist

https://talent.gravityer.com/sai-laasya-vabilisetty

Member since June 22, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/sai-laasya-vabilisetty

Top Skills

JavaJupyter NotebookHTMLCSSSCSSJavaScriptPHPPython

Skills

JavaJupyter NotebookHTMLCSSSCSSJavaScriptPHPPython

Projects

Python-Data-Structures-

December 1, 2025 – December 3, 2025

All python datastructures with deep test cases and learning

Machine_learning

June 13, 2023 – June 13, 2023

Machine_learning — repository

cisco-template

March 15, 2021 – March 15, 2021

cisco-template — repository

python-practice

January 9, 2021 – January 9, 2022

python-practice — repository

hackerrank-solutions

December 25, 2020 – January 10, 2021

hackerrank-solutions — repository

action-hashnode-blog

November 11, 2020 – November 11, 2020

action-hashnode-blog — repository

java-array

September 25, 2020 – September 26, 2020

java-array — repository

laasya-setty

July 15, 2020 – Present

laasya-setty — repository

100_DAYS_OF_CODE

May 13, 2020 – October 4, 2020

Hey everyone! This is my 100 days coding challenge. Join me, let's code together. ;)

Pharmacure

December 7, 2019 – October 5, 2020

A Medical Website

Key Strengths

Exposure to Python for data structures and general practice.
Familiarity with Jupyter Notebook, a common tool in data science.
Demonstrated interest in Machine Learning through a dedicated repository.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a personal interest in learning and coding through projects like '100_DAYS_OF_CODE' and 'hackerrank-solutions'. The project diversity, while mostly personal and foundational, indicates a proactive learning approach. However, the direct alignment with a senior Data Scientist role is limited due to the foundational nature of projects and lack of professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Project descriptions are minimal, and no psychometric test results are available.