Anjali Chappidi

Eduskills (AICTE)

india

Since December 3, 2025

Skills

Python

Experience

Eduskills (AICTE)

Full Stack Intern

January 1, 2025 – Present

APSCHE

Cybersecurity Intern

January 1, 2024 – Present

Black Bucks / Edunet

IoT Intern

January 1, 2024 – Present

Key Strengths

Demonstrated foundational programming skills in Python, Java, and JavaScript.
Practical experience with a machine learning project (Water Demand Forecasting using scikit-learn), indicating exposure to data processing and model application.
Experience with IoT systems (Smart Parking, Smart Home Automation), which often involve data collection and edge processing relevant to AI.
Exposure to full-stack development (Java, REST APIs) valuable for deploying AI solutions.
Strong academic record (CGPA 8.29/10) and participation in hackathons, demonstrating problem-solving aptitude and initiative.
Enthusiasm for technology and continuous learning, evidenced by multiple internships and certifications.
Role Match: The candidate is a fresher (experienceLevel: 0) with foundational exposure to AI/ML and related technologies. While showing potential, their experience is not commensurate with a senior AI Engineer role. They may be a better fit for an entry-level AI/ML or software development position.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 50% suggests average alignment with typical workplace expectations regarding logical reasoning, work attitude, stress handling, and team collaboration. This indicates a need for further assessment to confirm cultural fit and potential areas for development in these soft skills.

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

Demonstrated foundational programming skills in Python, Java, and JavaScript.
Practical experience with a machine learning project (Water Demand Forecasting using scikit-learn), indicating exposure to data processing and model application.
Experience with IoT systems (Smart Parking, Smart Home Automation), which often involve data collection and edge processing relevant to AI.
Exposure to full-stack development (Java, REST APIs) valuable for deploying AI solutions.
Strong academic record (CGPA 8.29/10) and participation in hackathons, demonstrating problem-solving aptitude and initiative.
Enthusiasm for technology and continuous learning, evidenced by multiple internships and certifications.
Role Match: The candidate is a fresher (experienceLevel: 0) with foundational exposure to AI/ML and related technologies. While showing potential, their experience is not commensurate with a senior AI Engineer role. They may be a better fit for an entry-level AI/ML or software development position.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit