akshaya kalaganti | AP22110010895

Guntūr, Andhra Pradesh, India

Since December 7, 2025

Skills

Full-stackMysqlNosqlNode.jsReact.js

Experience

Croyant Technologies

Oracle Database Intern

June 1, 2024 – August 1, 2024

Key Strengths

Strong foundational knowledge in Python, validated by high performance in Data Science assessment and project experience.
Demonstrated proficiency in SQL through an Oracle Database internship and resume skills.
Exceptional performance in Full Stack Frontend development, indicating strong problem-solving and implementation skills.
Quick learning ability and eagerness to grow, as stated in the summary and evidenced by high scores in diverse technical areas.
Relevant internship experience in database management (Oracle) directly supports the SQL requirement of the target role.

Skill Analysis

Data Science & Artificial Intelligence

★★★★★

94%

Achieved a high percentage, demonstrating strong foundational and practical knowledge in Data Science and AI concepts, aligning well with the candidate's project experience.

Machine LearningDeep LearningNatural Language ProcessingData AnalysisPythonScikit-learnTensorFlowNLTKTF-IDFLSTMLogistic RegressionRandom ForestSVMChi-SquareVariance Threshold

Strengths

Demonstrated strong foundational and practical knowledge in Data Science and AI concepts.
Proficient in applying various machine learning and deep learning algorithms.
Strong understanding of data processing and feature engineering techniques.

Cultural & Operational Fit

Cultural Fit Analysis

With a psychometric score of 68%, the candidate shows a moderate alignment with typical workplace attributes. While demonstrating a willingness to learn and contribute, further assessment during interviews would be beneficial to gauge specific aspects like adaptability under pressure and advanced team dynamics.

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 foundational knowledge in Python, validated by high performance in Data Science assessment and project experience.
Demonstrated proficiency in SQL through an Oracle Database internship and resume skills.
Exceptional performance in Full Stack Frontend development, indicating strong problem-solving and implementation skills.
Quick learning ability and eagerness to grow, as stated in the summary and evidenced by high scores in diverse technical areas.
Relevant internship experience in database management (Oracle) directly supports the SQL requirement of the target role.

Skill Analysis

Data Science & Artificial Intelligence

★★★★★

94%

Achieved a high percentage, demonstrating strong foundational and practical knowledge in Data Science and AI concepts, aligning well with the candidate's project experience.

Machine LearningDeep LearningNatural Language ProcessingData AnalysisPythonScikit-learnTensorFlowNLTKTF-IDFLSTMLogistic RegressionRandom ForestSVMChi-SquareVariance Threshold

Strengths

Demonstrated strong foundational and practical knowledge in Data Science and AI concepts.
Proficient in applying various machine learning and deep learning algorithms.
Strong understanding of data processing and feature engineering techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Full Stack Development (Frontend Focus)

★★★★★

100%

Achieved a perfect score, indicating exceptional proficiency and comprehensive understanding of the evaluated Full Stack (Frontend) concepts, including Redis and API integration.

Frontend DevelopmentReact.jsJavaScriptHTMLCSSAPI IntegrationRedisNode.jsExpress.jsMongoDB

Strengths

Achieved a perfect score, indicating exceptional proficiency in frontend development principles and technologies.
Strong understanding of API integration and potentially Redis usage.
Demonstrated comprehensive knowledge of MERN stack components relevant to frontend development.

Limitations

The assessment's primary focus on frontend aspects means backend depth beyond basic API interaction was not fully evaluated.
Specific experience with Redis beyond basic usage might need further validation.