Academic Performance Analytics

Comprehensive insights into skills, roles & project performance

Last updated: Aug 2024
Source: xcelerator.ninja (LMS)

AI/ML Proficiency

93.2%
Average Score Across AI/ML Skills

Data Analysis Strength

89.7%
Performance in Data Science Projects

Leadership Skills

94.3%
Management & Strategy Competency

Project Success Rate

42
Total Projects Analyzed

Skills Performance Distribution

Job Role Performance

Project Categories Performance

PCA: Technical vs Leadership Skills

AI/ML Skills Performance Heatmap

Skills by Job Role Strength Matrix

Data Scientist
ML Engineer
Data Analyst
Project Manager
AI Developer
Research Scientist
Product Manager
Deep Learning
4.8
Strong match: Data Scientist - Deep Learning
4.9
Excellent match: ML Engineer - Deep Learning
2.2
Weak match: Data Analyst - Deep Learning
1.5
Poor match: Project Manager - Deep Learning
4.9
Strong match: AI Developer - Deep Learning
4.7
Strong match: Research Scientist - Deep Learning
2.5
Moderate match: Product Manager - Deep Learning
Computer Vision
3.8
Good match: Data Scientist - Computer Vision
4.9
Strong match: ML Engineer - Computer Vision
1.8
Poor match: Data Analyst - Computer Vision
1.2
Poor match: Project Manager - Computer Vision
4.7
Strong match: AI Developer - Computer Vision
4.2
Strong match: Research Scientist - Computer Vision
2.3
Moderate match: Product Manager - Computer Vision
Machine Learning
4.9
Strong match: Data Scientist - Machine Learning
4.9
Excellent match: ML Engineer - Machine Learning
3.1
Moderate match: Data Analyst - Machine Learning
2.5
Moderate match: Project Manager - Machine Learning
4.8
Strong match: AI Developer - Machine Learning
4.6
Strong match: Research Scientist - Machine Learning
3.4
Moderate match: Product Manager - Machine Learning
Python
4.5
Strong match: Data Scientist - Python
4.7
Strong match: ML Engineer - Python
4.2
Strong match: Data Analyst - Python
2.3
Moderate match: Project Manager - Python
4.6
Strong match: AI Developer - Python
4.3
Strong match: Research Scientist - Python
2.7
Moderate match: Product Manager - Python
Data Analysis
4.7
Strong match: Data Scientist - Data Analysis
3.6
Good match: ML Engineer - Data Analysis
4.9
Excellent match: Data Analyst - Data Analysis
3.7
Good match: Project Manager - Data Analysis
3.5
Good match: AI Developer - Data Analysis
4.5
Strong match: Research Scientist - Data Analysis
4.1
Strong match: Product Manager - Data Analysis
Leadership
2.9
Moderate match: Data Scientist - Leadership
2.7
Moderate match: ML Engineer - Leadership
2.5
Moderate match: Data Analyst - Leadership
4.9
Excellent match: Project Manager - Leadership
2.3
Moderate match: AI Developer - Leadership
2.6
Moderate match: Research Scientist - Leadership
4.8
Strong match: Product Manager - Leadership
Cloud Computing
3.2
Moderate match: Data Scientist - Cloud Computing
4.3
Strong match: ML Engineer - Cloud Computing
2.6
Moderate match: Data Analyst - Cloud Computing
2.2
Moderate match: Project Manager - Cloud Computing
4.0
Strong match: AI Developer - Cloud Computing
2.8
Moderate match: Research Scientist - Cloud Computing
2.8
Moderate match: Product Manager - Cloud Computing
Statistics
4.6
Strong match: Data Scientist - Statistics
3.5
Good match: ML Engineer - Statistics
4.8
Strong match: Data Analyst - Statistics
3.0
Moderate match: Project Manager - Statistics
3.2
Moderate match: AI Developer - Statistics
4.8
Strong match: Research Scientist - Statistics
3.5
Good match: Product Manager - Statistics

Data Science vs Leadership

Performance Clusters

Key Insights & Findings

(AI generated)

AI/ML Skill Concentration

Your academic profile shows exceptional strength in Deep Learning (94.8%) and Machine Learning (93.5%), placing you in the top tier of ML specialists. The high correlation between these skills indicates a natural affinity for advanced AI applications, particularly in Computer Vision systems where you've demonstrated a 94.2% proficiency.

Data Science Career Path Alignment

Your performance data reveals a strong alignment with Data Scientist (94.2%) and ML Engineer (93.8%) roles. The balance between analytical skills and implementation capabilities suggests you would excel in research-oriented positions where models move from concept to deployment, particularly in computer vision and deep learning applications.

Leadership Potential

While technical skills dominate your profile, the PCA visualization reveals an emerging cluster of leadership competencies (94.3%) that complement your technical expertise. This combination is relatively rare and particularly valuable for roles like AI Team Lead or Technical Product Manager where both domains need to work in concert.

Career Differentiation Strategy

The skills matrix shows you have a distinctive advantage at the intersection of Deep Learning, Machine Learning and Data Analysis. To maximize career differentiation, focus on the cluster where these three domains overlap, rather than pursuing general data science competencies where competition is higher and your relative advantage is lower.