Poojashri

Data Analyst

https://www.opentalent.in/poojashri

Chennai Institute Of Technology

Key Strengths

Strong academic foundation in Computer Science and Engineering (BE, 8.81 CGPA).
Demonstrated proficiency in data analysis tools and languages including Python, SQL, Power BI, Excel, Pandas, NumPy, and Matplotlib.
Practical experience in machine learning applications, specifically in fraud detection and recommendation systems.
Relevant project experience in data processing, API performance analysis, and system optimization.
Internship experience involving data analysis, debugging, and system understanding, aligning with analytical roles.
Publications indicate research capability and interest in advanced topics like homomorphic encryption and machine learning.
Achievements in competitive programming and technical events demonstrate problem-solving skills.
Certifications cover relevant areas such as cybersecurity, AI, and web development, showing a proactive learning attitude.
The candidate's profile, based on the resume, shows a good match for a junior Data Analyst role.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a significant red flag, making it impossible to assess cultural fit positively based on the provided assessment data. This score suggests a fundamental mismatch or a failure to engage with the assessment, raising serious concerns about logical reasoning, work attitude, stress handling, and team collaboration.

Soft Skills & Operational Fit

The psychometric test score of 0 is a critical concern, indicating a severe lack of fit or non-completion of the assessment. While the resume mentions 'Collaborated with teams,' this is heavily contradicted by the psychometric score. Insufficient data to positively assess soft skills and operational fit beyond this concerning score.

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 academic foundation in Computer Science and Engineering (BE, 8.81 CGPA).
Demonstrated proficiency in data analysis tools and languages including Python, SQL, Power BI, Excel, Pandas, NumPy, and Matplotlib.
Practical experience in machine learning applications, specifically in fraud detection and recommendation systems.
Relevant project experience in data processing, API performance analysis, and system optimization.
Internship experience involving data analysis, debugging, and system understanding, aligning with analytical roles.
Publications indicate research capability and interest in advanced topics like homomorphic encryption and machine learning.
Achievements in competitive programming and technical events demonstrate problem-solving skills.
Certifications cover relevant areas such as cybersecurity, AI, and web development, showing a proactive learning attitude.
The candidate's profile, based on the resume, shows a good match for a junior Data Analyst role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Poojashri

Key Strengths

Cultural & Operational Fit

Skills

Education

Key Strengths

Cultural & Operational Fit