Profile URL

https://talent.gravityer.com/smriti-paul

Smriti Paul

Kolkata, West Bengal, India

Since February 2, 2026

Skills

PythonSQLMysqlStatisticsMachine LearningDocker / KubernetesCiCd

Experience

ManipalCigna Health Insurance Company Ltd

Analyst Intern

August 1, 2025 – January 1, 2026

Mumbai, India

India Meteorological Department

Research Intern

January 1, 2024 – May 1, 2024

Pune, India

Wiznet India Pvt Ltd

Software Engineer-Intern

July 1, 2023 – September 1, 2023

Pune, India

Key Strengths

Strong aptitude in Data Science and Data Engineering principles, as evidenced by high scores in relevant technical assessments.
Practical experience with Python for data analysis, automation (pandas, numpy), and spatial data processing in internship roles.
Exposure to AI/ML projects, including integrating with GPT-3 and computer vision, demonstrating an ability to apply advanced concepts.
Proven ability to automate reports and improve operational efficiency using Python, indicating a problem-solving mindset.
Good understanding of data processing workflows and visualization tools (QGIS, Power BI).
The candidate's experience aligns with data processing and automation aspects of the role, but a significant gap exists in core Python development skills and specific CrateDB knowledge.

Skill Analysis

Data Science & AI

★★★★★

94%

A near-perfect score indicates a solid understanding of fundamental Data Science and Artificial Intelligence principles.

Machine LearningDeep LearningAI AlgorithmsData AnalysisPredictive Modeling

Strengths

Demonstrates a strong grasp of core Data Science and Artificial Intelligence concepts.
Excellent problem-solving abilities within a data science context.

Data Engineering & Platforms

★★

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 52% suggests that the candidate may need development in areas such as logical reasoning, work attitude, stress handling, or team collaboration. These aspects are crucial for cultural integration and effective team dynamics. Further assessment during interviews would be necessary to understand the specific areas of concern and how they might impact team fit.

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 aptitude in Data Science and Data Engineering principles, as evidenced by high scores in relevant technical assessments.
Practical experience with Python for data analysis, automation (pandas, numpy), and spatial data processing in internship roles.
Exposure to AI/ML projects, including integrating with GPT-3 and computer vision, demonstrating an ability to apply advanced concepts.
Proven ability to automate reports and improve operational efficiency using Python, indicating a problem-solving mindset.
Good understanding of data processing workflows and visualization tools (QGIS, Power BI).
The candidate's experience aligns with data processing and automation aspects of the role, but a significant gap exists in core Python development skills and specific CrateDB knowledge.

Skill Analysis

Data Science & AI

★★★★★

94%

A near-perfect score indicates a solid understanding of fundamental Data Science and Artificial Intelligence principles.

Machine LearningDeep LearningAI AlgorithmsData AnalysisPredictive Modeling

Strengths

Demonstrates a strong grasp of core Data Science and Artificial Intelligence concepts.
Excellent problem-solving abilities within a data science context.

Data Engineering & Platforms

★★

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Python Development

★★★★★

48%

A score below 50% indicates significant deficiencies in core Python development skills, which is a critical requirement for the target role.

Core PythonRegular ExpressionsData Anonymization

Strengths

Some foundational understanding of Python syntax and basic problem-solving.

Limitations

Significant gaps in core Python proficiency, particularly for a developer role.
Difficulty with advanced Python constructs or problem-solving requiring deeper language understanding.
Lack of practical application or understanding of specific Python modules/techniques.