Help & Supportcareers@gravityer.com

UPES

Profile URL

https://talent.gravityer.com/aditya-raj-9

Aditya Raj

UPES

Patna, Bihar, India

Since March 16, 2026

Skills

ProgrammingJavaAPI IntegrationCiCdAndroidMERN StackPyTorchLinuxiOS

Education

UPES

B.Tech · Computer Science

August 21, 2022 – May 14, 2026

Experience

IBM

Project Intern

June 1, 2025 – July 1, 2025

Certifications

Complete Data Science,Machine Learning,DL,NLP Bootcamp Boot

Udemy

February 28, 2026 – March 7, 2028

Oracle Cloud Infrastructure 2025 AI Foundations Associate

Oracle

October 30, 2025 – October 30, 2027

Google Analytics for Beginners

Google

October 28, 2025 – October 28, 2026

SQL (Basic) Certificate

HackerRank

October 16, 2025 – March 29, 2027

The Complete 2024 Web Development Bootcamp

Udemy

December 22, 2024 – March 30, 2026

Key Strengths

Strong proficiency in Python, evidenced by a perfect score in Full Stack Python development and practical application in the IBM internship and personal projects.
Solid foundational knowledge in SQL, supported by a HackerRank certification and experience with MySQL in projects.
Demonstrated experience in Data Science and Machine Learning, including model development (XGBoost, LightGBM, NLP models), MLOps framework implementation, and model explainability (SHAP, LIME).
High adaptability and learning capacity, as shown by excellent scores across diverse technical domains like Java, Azure Data Engineering, and Full Stack Development.
The candidate's technical profile aligns well with the Python and SQL requirements of the 'Python / SQL – CrateDB Intern' role, with CrateDB being a clear area for learning and growth.

Skill Analysis

SAP Digital Transformation Management

★★★★★

97%

Achieved a near-perfect score, indicating a comprehensive understanding of the subject matter.

IT Business Partner (ITBP)Digital TransformationSAP

Strengths

Demonstrated strong understanding of IT business partnership principles and digital transformation concepts within an SAP context.
Excellent grasp of strategic alignment and business process optimization.

Data Science & Artificial Intelligence

★★★★★

94%

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 49% suggests that the candidate's cultural fit, particularly concerning logical reasoning, work attitude, stress handling, and team collaboration, requires further assessment. This score is below average and indicates potential areas for development or a mismatch with typical organizational expectations in these domains.

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 proficiency in Python, evidenced by a perfect score in Full Stack Python development and practical application in the IBM internship and personal projects.
Solid foundational knowledge in SQL, supported by a HackerRank certification and experience with MySQL in projects.
Demonstrated experience in Data Science and Machine Learning, including model development (XGBoost, LightGBM, NLP models), MLOps framework implementation, and model explainability (SHAP, LIME).
High adaptability and learning capacity, as shown by excellent scores across diverse technical domains like Java, Azure Data Engineering, and Full Stack Development.
The candidate's technical profile aligns well with the Python and SQL requirements of the 'Python / SQL – CrateDB Intern' role, with CrateDB being a clear area for learning and growth.

Skill Analysis

SAP Digital Transformation Management

★★★★★

97%

Achieved a near-perfect score, indicating a comprehensive understanding of the subject matter.

IT Business Partner (ITBP)Digital TransformationSAP

Strengths

Demonstrated strong understanding of IT business partnership principles and digital transformation concepts within an SAP context.
Excellent grasp of strategic alignment and business process optimization.

Data Science & Artificial Intelligence

★★★★★

94%

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

High score reflects solid theoretical and practical understanding of data science and AI.

Strengths

Strong foundational knowledge in data science and AI principles.
Proficient in core concepts relevant to a data scientist role.

IT Business Partnering

★★★★★

100%

Perfect score indicates mastery of ITBP concepts.

IT Business Partner (ITBP)Stakeholder Management

Strengths

Exceptional understanding of the IT Business Partner role, including stakeholder management, strategic planning, and bridging business and IT objectives.

Full Stack Development (Frontend Focus)

★★★★★

95%

Excellent performance demonstrating strong skills in relevant full-stack frontend areas.

RedisAPIQA DashboardFrontend Development

Strengths

Strong proficiency in frontend development concepts, API integration, and understanding of caching mechanisms like Redis.
Good grasp of building QA dashboards.

Senior AI/Data Science Concepts

★★★★★

68%

A score of 68% suggests a decent understanding but indicates areas where deeper knowledge or practical experience is required for a senior-level role.

Data scienceAbility to adaptmachine learningSystem Administrationdevops

Strengths

Demonstrated foundational knowledge in data science and machine learning.
Some understanding of DevOps and System Administration concepts.

Limitations

Performance indicates gaps in advanced AI/DS topics, potentially in areas requiring deeper experience or nuanced understanding of system administration and DevOps practices for senior roles.
Further development is needed to meet senior-level expectations.

Java & Web Technologies

★★★★★

100%

Perfect score reflects exceptional knowledge in Java and web development.

Application DeveloperJavaWeb Tech

Strengths

Mastered Java application development and web technologies.
Strong understanding of core concepts.

Full Stack Development (Python)

★★★★★

100%

Perfect score indicates complete mastery of Python full-stack development concepts.

Application DeveloperFull StackPython

Strengths

Demonstrated expert-level proficiency in Python for full-stack application development.

Azure Data Engineering

★★★★★

100%

Perfect score demonstrates expert-level knowledge in Azure data engineering.

Data EngineerAzureDatabricks DLTStreamingCost Optimization

Strengths

Exceptional understanding of Azure data engineering, including Databricks DLT, streaming data processing, and cost optimization strategies.

Python for Data Analysis & Algorithms

★★★★★

73%

A score of 73% indicates a solid grasp of core Python and data analysis but highlights opportunities for growth in more advanced or specialized areas.

Data Analysis with PythonalgorithmsPython 3.xStreaming-DataUnit-Testing

Strengths

Good foundational understanding of Python 3.x, data analysis concepts, and basic algorithms.
Some exposure to streaming data and unit testing.

Limitations

Performance suggests areas for improvement in advanced Python concepts, complex algorithms, or more robust unit testing practices.
Deeper understanding of streaming data processing might also be beneficial.