Kolli ganeshreddy

Python / SQL – CrateDB Intern

https://www.opentalent.in/kolli-ganeshreddy

Mārkāpur, Andhra Pradesh, IndiaMember since February 17, 2026

Key Strengths

Strong foundational skills in Python (Pandas, NumPy, Matplotlib, Scikit-learn) and SQL (MySQL, advanced concepts like joins, subqueries, aggregations).
Practical experience in data cleaning, preprocessing, exploratory data analysis (EDA), and building/evaluating machine learning models from a data science internship.
Experience with BI tools (Power BI, MS Excel) and exposure to time-series forecasting techniques.
Projects demonstrate the application of learned skills to solve data analysis and reporting problems (e.g., Academic Activity Analysis, Solar Power Forecasting, Titanic Data Dashboard).
The candidate's stated Python and SQL skills, combined with their internship experience, align well with the requirements for a 'Python / SQL – CrateDB Intern' role.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0/500 is a severe red flag for cultural fit. This assessment directly evaluates work attitude, stress handling, and team collaboration, and a score of zero indicates a fundamental mismatch or a failure to properly engage with the assessment, which would be a critical barrier to successful integration into any team.

Soft Skills & Operational Fit

The psychometric test score of 0/500 is a critical concern, indicating potential severe issues with logical reasoning, work attitude, stress handling, and team collaboration. This directly contradicts the resume's claim of collaboration and raises significant doubts about operational fit. The English test score of 60/100 suggests room for improvement in professional communication clarity.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong foundational skills in Python (Pandas, NumPy, Matplotlib, Scikit-learn) and SQL (MySQL, advanced concepts like joins, subqueries, aggregations).
Practical experience in data cleaning, preprocessing, exploratory data analysis (EDA), and building/evaluating machine learning models from a data science internship.
Experience with BI tools (Power BI, MS Excel) and exposure to time-series forecasting techniques.
Projects demonstrate the application of learned skills to solve data analysis and reporting problems (e.g., Academic Activity Analysis, Solar Power Forecasting, Titanic Data Dashboard).
The candidate's stated Python and SQL skills, combined with their internship experience, align well with the requirements for a 'Python / SQL – CrateDB Intern' role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Kolli ganeshreddy

Key Strengths

Cultural & Operational Fit

Skills

Experience

Key Strengths

Cultural & Operational Fit