Naman Saxena

Raipur, Chhattisgarh, India

Since February 6, 2026

Skills

Front-endAI EngineersPythonReact.jsSoftware DevelopersGit-GitHubTechnical LeadershipData ModelingData PreprocessingModel Evaluation

Experience

IIIT Naya Raipur

AI/ML Trainee

June 1, 2025 – August 1, 2025

Key Strengths

Claimed foundational knowledge in Python and SQL (from resume).
Exposure to Machine Learning and Deep Learning concepts through academic projects and an internship.
Stated interest in Software Development and Problem-Solving, with a focus on Data Structures & Algorithms (from resume).

Skill Analysis

Full Stack Development (Frontend Focus)

★★★★★

15%

The candidate scored very low (15%), indicating a fundamental lack of knowledge and practical skills required for full-stack frontend development, API usage, Redis, and QA dashboard concepts.

Frontend DevelopmentAPI IntegrationRedisQA DashboardWeb Development

Limitations

Significant gaps in fundamental frontend development concepts.
Lack of understanding in API integration and usage.
Limited knowledge of Redis and its applications.
Inability to apply concepts related to QA dashboards.

Data Science & Artificial Intelligence

★★★★★

The candidate scored 0%, indicating a complete absence of demonstrated understanding or practical ability in Data Science and Artificial Intelligence, which contradicts the resume's claims of AI/ML expertise and projects.

Data ScienceArtificial IntelligenceMachine LearningDeep LearningData Analysis

Limitations

Complete absence of demonstrated knowledge in core data science principles.
No practical understanding of artificial intelligence or machine learning concepts.
Inability to apply theoretical knowledge to practical problems in AI/ML.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's psychometric test score (62%) suggests an acceptable level of alignment with typical workplace attributes such as logical reasoning, work attitude, stress handling, and team collaboration. No strong indicators of exceptional or problematic cultural fit are present based on the provided data.

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

Claimed foundational knowledge in Python and SQL (from resume).
Exposure to Machine Learning and Deep Learning concepts through academic projects and an internship.
Stated interest in Software Development and Problem-Solving, with a focus on Data Structures & Algorithms (from resume).

Skill Analysis

Full Stack Development (Frontend Focus)

★★★★★

15%

The candidate scored very low (15%), indicating a fundamental lack of knowledge and practical skills required for full-stack frontend development, API usage, Redis, and QA dashboard concepts.

Frontend DevelopmentAPI IntegrationRedisQA DashboardWeb Development

Limitations

Significant gaps in fundamental frontend development concepts.
Lack of understanding in API integration and usage.
Limited knowledge of Redis and its applications.
Inability to apply concepts related to QA dashboards.

Data Science & Artificial Intelligence

★★★★★

Data ScienceArtificial IntelligenceMachine LearningDeep LearningData Analysis

Limitations

Complete absence of demonstrated knowledge in core data science principles.
No practical understanding of artificial intelligence or machine learning concepts.
Inability to apply theoretical knowledge to practical problems in AI/ML.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit