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Kranthi Giramoni | Gravity Talent Portal

Kranthi Giramoni

Kranthi Giramoni

Data Scientist

https://talent.gravityer.com/kranthi-giramoni

IndiaMember since June 13, 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/kranthi-giramoni

Top Skills

Jupyter Notebook

Skills

Jupyter Notebook

Projects

NLP

July 14, 2021 – July 16, 2021

NLP — GitHub repository

TensorFlow

January 1, 2021 – February 26, 2021

TensorFlow — GitHub repository

SQL

August 23, 2020 – September 30, 2020

SQL — GitHub repository

Tableau-for-beginners

June 1, 2020 – September 28, 2020

Tableau-for-beginners — GitHub repository

Employee-Salary-and-Incentive-by-State-and-City-Visualization

May 22, 2020 – September 29, 2020

Employee-Salary-and-Incentive-by-State-and-City-Visualization — GitHub repository

Store-Sales-and-Product-Visualization

May 19, 2020 – September 6, 2020

Store Sales and Product Visualization

Used-Cars-Prediction-and-Analysis

April 13, 2020 – September 7, 2020

Used Cars Prediction and Analysis

Logistic-Regression

March 18, 2020 – September 4, 2020

Logistic Regression with python

NLP-Word-Embedding-Bag-of-Words-and-TF-IDF-model

March 13, 2020 – August 20, 2020

NLP-Word-Embedding-Bag-of-Words-and-TF-IDF-model — GitHub repository

Hotel-Revenue-Analysis

March 9, 2020 – November 13, 2020

Hotel Revenue Analysis

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to NLP, TensorFlow, SQL, and various visualization tools (Tableau).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows initiative through a variety of personal projects related to data science, indicating a self-starter attitude. The breadth of projects (NLP, TensorFlow, SQL, visualization, regression) suggests a willingness to explore different areas within data science, which could contribute positively to a team environment. However, the lack of team-based projects or professional experience limits the ability to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or work experience provided.