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RUCHI RANI

Data Science Engineer

https://talent.gravityer.com/ruchi-rani

Key Strengths

Strong foundational knowledge in Data Science and AI, as evidenced by the 76% score in the Data Scientist - Artificial Intelligence test.
Demonstrated proficiency in Python, a critical language for Data Science, through internship experience and perfect scores in Python-related tests.
Adaptability and problem-solving ability, as listed in the resume, are valuable traits for a Data Science Engineer.
Exposure to Machine Learning models (Regression, Classification) and data handling libraries (NumPy, Pandas) from internship experience.
Good academic record (7.82 CGPA) in Computer Science and Engineering.

Skill Analysis

Junior Java Developer

★★★★★

59%

A score of 59% indicates a basic grasp of the subject matter but significant room for improvement in practical application and advanced concepts.

Java 11GroovySpockJUnitGradleClean Code

Strengths

Demonstrated foundational understanding of Java development concepts.
Ability to work with build tools like Gradle.

Limitations

Performance indicates areas for improvement in core Java, testing frameworks (Spock/JUnit), or clean code practices.
Further practice needed in practical application of Java development principles.

SAP Digital Transformation Manager

★★★★★

100%

A perfect score of 100% demonstrates complete mastery of the assessed SAP Digital Transformation Manager concepts.

IT Business Partner (ITBP)

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's resume indicates participation in event organization and interest in outdoor sports, suggesting a potential for team engagement and a balanced lifestyle. The diversity of technical tests taken (Java, SAP, Full Stack, MERN, Data Science) shows a broad interest in technology, which can be a strength for adaptability but also indicates a lack of focused specialization at this early career stage. The target role of 'Data Science Engineer' aligns with their AI/ML internship and Data Scientist test, suggesting a clear career direction.

Soft Skills & Operational Fit

The candidate's psychometric test score of 338/500 (67.6%) suggests a moderate level of logical reasoning, work attitude, stress handling, and team collaboration. While not outstanding, it indicates a baseline fit for operational roles. The English test score of 63% suggests communication clarity could be improved for professional settings.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Data Science | Python, SQL, Pandas, NumPy | B.Tech CSE Student

GIFT Autonomous, Bhubaneswar

Bhubaneshwar, Odisha, IndiaMember since June 16, 2026

https://talent.gravityer.com/ruchi-rani

About

B.Tech CSE student at GIFT Bhubaneswar with 7.82 CGPA. Skilled in Python, Java, SQL, and Machine Learning basics. Completed internships in Python and AI-ML using NumPy, Pandas. NPTEL Certified in IoT. Passionate about solving real-world problems with data and emerging technologies. Aspiring Data Science Engineer skilled in Python, Java, SQL, and ML fundamentals. Experienced with NumPy, Pandas through AI-ML internship. NPTEL IoT Certified. Strong in DSA and problem-solving. CSE undergrad with hands-on experience in Python, AI-ML, and Data Analysis. Proficient in NumPy, Pandas, SQL. NPTEL certified and adaptable to new technologies.

Skills

python3JavaHTML/CSSMysqlGit-GitHubAi MlData Analysis

Education

GIFT Autonomous, Bhubaneswar

B.Tech · Computer Science and Engineering

July 31, 2023 – August 30, 2027

Key Strengths

Strong foundational knowledge in Data Science and AI, as evidenced by the 76% score in the Data Scientist - Artificial Intelligence test.
Demonstrated proficiency in Python, a critical language for Data Science, through internship experience and perfect scores in Python-related tests.
Adaptability and problem-solving ability, as listed in the resume, are valuable traits for a Data Science Engineer.
Exposure to Machine Learning models (Regression, Classification) and data handling libraries (NumPy, Pandas) from internship experience.
Good academic record (7.82 CGPA) in Computer Science and Engineering.

Skill Analysis

Junior Java Developer

★★★★★

59%

A score of 59% indicates a basic grasp of the subject matter but significant room for improvement in practical application and advanced concepts.

Java 11GroovySpockJUnitGradleClean Code

Strengths

Demonstrated foundational understanding of Java development concepts.
Ability to work with build tools like Gradle.

Limitations

Performance indicates areas for improvement in core Java, testing frameworks (Spock/JUnit), or clean code practices.
Further practice needed in practical application of Java development principles.

SAP Digital Transformation Manager

★★★★★

100%

A perfect score of 100% demonstrates complete mastery of the assessed SAP Digital Transformation Manager concepts.

IT Business Partner (ITBP)

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Strengths

Achieved a perfect score, indicating strong understanding of SAP Digital Transformation concepts.
Proficiency in IT Business Partner (ITBP) roles and responsibilities.

Limitations

No specific weaknesses identified based on the perfect score.

IT Business Partner (ITBP) TEST

★★★★★

100%

A perfect score of 100% demonstrates complete mastery of the assessed IT Business Partner concepts.

IT Business Partner (ITBP)

Strengths

Achieved a perfect score, indicating strong understanding of IT Business Partner principles.
Demonstrated comprehensive knowledge in ITBP domain.

Limitations

No specific weaknesses identified based on the perfect score.

Full Stack Developer (FE) - Redis, API, QA Dashboard

★★★★★

100%

A perfect score of 100% demonstrates complete mastery of the assessed Full Stack Developer (FE) concepts.

RedisAPI DevelopmentQA Dashboard

Strengths

Achieved a perfect score, indicating strong understanding of Full Stack (Frontend) development with Redis and API integration.
Proficiency in concepts related to QA Dashboards.

Limitations

No specific weaknesses identified based on the perfect score.

Application Developer — Java & Web Tech

★★★★★

100%

A perfect score of 100% demonstrates complete mastery of the assessed Application Developer — Java & Web Tech concepts.

JavaWeb TechnologiesPricefx

Strengths

Achieved a perfect score, indicating strong understanding of Java and Web Technologies.
Proficiency in concepts related to Pricefx certified consultant role.

Limitations

No specific weaknesses identified based on the perfect score.

Application Developer — Experience Full Stack (Python)

★★★★★

100%

A perfect score of 100% demonstrates complete mastery of the assessed Full Stack Python development concepts.

PythonFull Stack Development

Strengths

Achieved a perfect score, indicating strong understanding of Full Stack Python development.
Demonstrated comprehensive knowledge in Python-based application development.

Limitations

No specific weaknesses identified based on the perfect score.

Application Developer — Azure Cloud Full Stack (.NET + React)

★★★★★

85%

A score of 85% indicates a strong understanding with minor areas for refinement in specific topics.

Azure Cloud.NETReactFull Stack Development

Strengths

Strong understanding of Azure Cloud concepts.
Good grasp of Full Stack development with .NET and React.

Limitations

Minor areas for improvement in specific Azure, .NET, or React functionalities, as indicated by the non-perfect score.

Application Developer — Experience Frontend (React/TypeScript)

★★★★★

85%

A score of 85% indicates a strong understanding with minor areas for refinement in specific topics.

ReactTypeScriptFrontend Development

Strengths

Strong understanding of React and TypeScript for frontend development.
Good grasp of application development principles.

Limitations

Minor areas for improvement in specific React or TypeScript functionalities, as indicated by the non-perfect score.

Data Scientist — Artificial Intelligence

★★★★★

76%

A score of 76% indicates a good understanding but suggests opportunities to deepen knowledge in advanced AI/ML topics.

Data ScienceArtificial IntelligenceMachine Learning

Strengths

Solid understanding of Data Science and Artificial Intelligence concepts.
Demonstrated ability in core AI/ML principles.

Limitations

Areas for improvement in advanced AI/ML algorithms, model optimization, or specific data science techniques.
Further depth required in practical application of complex AI solutions.

MERN : Intern

★★★★★

79%

A score of 79% indicates a good understanding of the MERN stack, with some areas for advanced skill development.

JavaScriptReactMongoDBNode.jsCSSSassNoSQL

Strengths

Good understanding of the MERN stack components.
Proficiency in JavaScript, React, Node.js, and MongoDB basics.
Familiarity with styling technologies like CSS and Sass.

Limitations

Potential areas for improvement in advanced MERN stack patterns, performance optimization, or complex database interactions.
Further practice needed in integrating all MERN components seamlessly.