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Profile URL

https://talent.gravityer.com/mantena-siri

Mantena Siri

india

Since December 2, 2025

Skills

Power BIPythonTeam CollaborationHTML5Mysql

Experience

Edunet Foundation

ML Intern

May 1, 2024 – June 1, 2024

ExcelR

AI & ML Intern

May 1, 2024 – July 1, 2024

Key Strengths

Strong foundational knowledge in Python and SQL, as stated in the resume and supported by ML projects.
Exceptional aptitude in Azure Data Engineering, which is highly relevant to data-intensive roles and potentially distributed SQL databases like CrateDB.
Excellent communication skills, validated by a perfect English test score.
Demonstrated ability to learn and apply new technologies at an intern level (MERN stack proficiency).
Experience with data preprocessing, exploratory data analysis (EDA), and building machine learning models.

Skill Analysis

Node.js, React, JavaScript, MongoDB

★★★★★

25%

The candidate demonstrated limited proficiency, scoring only 25% of the maximum points, indicating fundamental weaknesses across the evaluated Node.js and React ecosystem skills.

ImmerTypescriptreduxREST APIreactjavascriptReact hooksnode.jsjs

Limitations

Significant gaps in understanding and practical application of Node.js, React, JavaScript, and related frameworks/libraries (Immer, Redux, TypeScript, React Hooks, REST API integration).

MERN Stack (MongoDB, Express.js, React, Node.js)

★★★★★

86%

The candidate achieved a high score of 86%, demonstrating a solid grasp of MERN stack fundamentals and practical application at an intern level.

Sass

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 312/500 (62%) indicates a moderate cultural fit. This suggests the candidate's alignment with typical workplace attributes such as logical reasoning, work attitude, stress handling, and team collaboration is average. Further assessment during interviews would be beneficial to gauge these aspects more deeply within a team context.

Soft Skills & Operational Fit

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 knowledge in Python and SQL, as stated in the resume and supported by ML projects.
Exceptional aptitude in Azure Data Engineering, which is highly relevant to data-intensive roles and potentially distributed SQL databases like CrateDB.
Excellent communication skills, validated by a perfect English test score.
Demonstrated ability to learn and apply new technologies at an intern level (MERN stack proficiency).
Experience with data preprocessing, exploratory data analysis (EDA), and building machine learning models.

Skill Analysis

Node.js, React, JavaScript, MongoDB

★★★★★

25%

The candidate demonstrated limited proficiency, scoring only 25% of the maximum points, indicating fundamental weaknesses across the evaluated Node.js and React ecosystem skills.

ImmerTypescriptreduxREST APIreactjavascriptReact hooksnode.jsjs

Limitations

Significant gaps in understanding and practical application of Node.js, React, JavaScript, and related frameworks/libraries (Immer, Redux, TypeScript, React Hooks, REST API integration).

MERN Stack (MongoDB, Express.js, React, Node.js)

★★★★★

86%

The candidate achieved a high score of 86%, demonstrating a solid grasp of MERN stack fundamentals and practical application at an intern level.

Sass

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Strengths

Strong foundational understanding of MERN stack components, including MongoDB, Node.js, React, and JavaScript, suitable for an intern level.
Good grasp of NoSQL concepts and front-end styling (Sass, CSS).

Limitations

Minor areas for improvement, but overall solid performance for an intern. Specific weaknesses cannot be detailed without the full report.

Azure Data Engineering

★★★★★

100%

A perfect score of 100% indicates comprehensive knowledge and expertise in Azure Data Engineering, particularly in Databricks DLT, streaming, and cost management.

Data Engineer — AzureDatabricks DLTStreamingCost Optimization

Strengths

Exceptional understanding of Azure Data Engineering concepts, including Databricks DLT, data streaming, and cost optimization strategies within the Azure ecosystem.
Demonstrated complete mastery of the assessed topics.

Next.js/React Practical Application

★★★★★

The candidate scored 0%, indicating a complete lack of ability to perform the practical task of building a Next.js/React interface.

react

Limitations

Complete inability to apply React concepts to build a practical interface, indicating a significant gap in hands-on development skills for Next.js/React.

JavaScript/React Development (Junior/Intern Level)

★★★★★

A score of 0% indicates a complete absence of the required skills for a junior/intern JavaScript/React developer role, failing to demonstrate any proficiency in the assessed areas.

Class ComponentsjavascriptEnzymejsreact

Limitations

Complete lack of fundamental JavaScript and React development skills, including understanding of Class Components and testing with Enzyme, as demonstrated by the 0% score on a junior/intern level task.