Aryan Tyagi

Python Engineer

https://www.opentalent.in/aryan-tyagi

Meerut, Uttar Pradesh, IndiaMember since March 16, 2026

Key Strengths

Proficiency in Python, demonstrated by project work and a 77% score on a Python-specific test.
Practical experience with Machine Learning models (XGBoost, Random Forest, BERT, CNNs) and MLOps tools (Streamlit, Docker, ML pipelines).
Strong background in data analysis, feature engineering, and model deployment.
Familiarity with various backend frameworks (Flask, FastAPI, Django, Spring Boot) and cloud platforms (Azure).
Good communication skills, as indicated by an 83% score on the English Test.

Skill Analysis

Python for Data Science & Algorithms

★★★★★

77%

Achieved a 77% score on the Python Internship Test, indicating a good grasp of the core concepts evaluated, including Python 3.x, data analysis, and algorithms. However, this specific test result must be considered in conjunction with the 0% score on the general Technical Test.

Streaming-DataUnit-TestingPython 3.xalgorithmsData Analysis with Python

Strengths

Demonstrated good foundational understanding of Python 3.x for data analysis and algorithms.
Ability to apply Python for data-intensive tasks, as evidenced by the 77% score on the specific test.

Limitations

Potential gaps in advanced Python features, optimization for streaming data, or comprehensive unit testing practices, as the score was not perfect.
The 0% score on the general 'Technical Test' (not this specific test) indicates a significant underlying weakness in core technical skills that overshadows this performance.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 65.4% indicates an average cultural fit. This suggests that while the candidate may possess some positive attributes, there are specific areas related to logical reasoning, work attitude, stress handling, and team collaboration that may require further development or assessment to ensure optimal team integration and performance.

Soft Skills & Operational Fit

The candidate's psychometric test score of 65.4% suggests an average fit regarding logical reasoning, work attitude, stress handling, and team collaboration. While the resume indicates project completion, there are potential areas for development in these soft skills for a senior role.

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

Proficiency in Python, demonstrated by project work and a 77% score on a Python-specific test.
Practical experience with Machine Learning models (XGBoost, Random Forest, BERT, CNNs) and MLOps tools (Streamlit, Docker, ML pipelines).
Strong background in data analysis, feature engineering, and model deployment.
Familiarity with various backend frameworks (Flask, FastAPI, Django, Spring Boot) and cloud platforms (Azure).
Good communication skills, as indicated by an 83% score on the English Test.

Skill Analysis

Python for Data Science & Algorithms

★★★★★

77%

Streaming-DataUnit-TestingPython 3.xalgorithmsData Analysis with Python

Strengths

Demonstrated good foundational understanding of Python 3.x for data analysis and algorithms.
Ability to apply Python for data-intensive tasks, as evidenced by the 77% score on the specific test.

Limitations

Potential gaps in advanced Python features, optimization for streaming data, or comprehensive unit testing practices, as the score was not perfect.
The 0% score on the general 'Technical Test' (not this specific test) indicates a significant underlying weakness in core technical skills that overshadows this performance.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Aryan Tyagi

Key Strengths

Skill Analysis

Python for Data Science & Algorithms

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

Python for Data Science & Algorithms

Cultural & Operational Fit