Help & Supportcareers@gravityer.com
# The goal is to turn data into information, and information into insight Collect--arrange-transform-analyze-train-deploy-predict
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
gmail.com
Data Scientist
June 18, 2026 – Present
Eastvantage_assignment
April 17, 2024 – April 17, 2024
Eastvantage_assignment — GitHub repository
View ProjectDatabricks_demo
November 29, 2023 – November 29, 2023
Databricks_demo — GitHub repository
View ProjectApp_serice_test
September 7, 2023 – September 7, 2023
App_serice_test — GitHub repository
View ProjectData-pipelines-with-python
June 5, 2021 – August 27, 2023
migration of data from mysql to postgresql with python
View ProjectChat-bot-for-college-
October 28, 2020 – December 30, 2020
This Project is to help the fresher’s and college students who has queries regarding college and seniors experiences and reviews regarding college and Most FAQS with out connecting the office staff they can get information from college website.(These is not only for college to other domains which mainly helps in customers satisfaction)
View Projectpython-programing-from-scratch
August 28, 2020 – October 5, 2020
The following Python section contains a wide collection of Python programming examples. The examples are categorized based on the topics including List, strings, dictionary, tuple, sets, and many more.
View ProjectEDA-featue-enginering-feature-selection
June 13, 2020 – June 13, 2020
In statistics, exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task
View ProjectKNN-alg
January 13, 2020 – September 2, 2020
The k-NN algorithm assumes that an unclassified item can be classified by looking at k of its already-classified, nearest neighbours and finding out which class the largest number of them fall into. The reason for choosing the nearest neighbours to the unknown item is that those are the items which are most similar to it in the attributes used to map the items, so the chances are higher that it belongs to the same class.
View ProjectCultural Fit Analysis
The candidate's projects show a focus on individual learning and exploration in data science. The listed experience as 'Data Scientist' at 'gmail.com' with a future start date (2026) and current status is unusual and lacks clarity, making it difficult to assess real-world team collaboration or cultural alignment. Project diversity is present within the data science domain, but the breadth of technologies is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.