Venkata Greeshma Kumari Ananthapalli

India

Since December 7, 2025

Skills

AI EngineersC# DevelopersPythonSoftware DevelopersMysqlGit-GitHubFull-stackWeb DevelopersJavaScript

Experience

School of AI, North-Chiang Mai University

Research Intern

June 1, 2025 – July 1, 2025

Insignia Consultancy

Intern

June 1, 2024 – August 1, 2024

Key Strengths

Strong foundational understanding and practical application of Machine Learning and Natural Language Processing (NLP) concepts, demonstrated through internships and projects.
Experience in predictive modeling, data preprocessing, model training, and performance optimization, directly relevant to AI Engineer responsibilities.
Proficiency in implementing NLP pipelines, including NER using spaCy and NLTK, and exposure to LLM fine-tuning.
Familiarity with various supervised machine learning algorithms (Logistic Regression, Naive Bayes, Random Forest, KNN, Decision Tree) and model evaluation metrics.
Ability to interpret AI-driven insights from multivariate datasets, supporting data-driven decision-making.
Solid academic background in Computer Science and Engineering with a strong GPA (8.11/10).
Full-stack development skills (React, Node.js, HTML, CSS, JavaScript) provide a broader engineering perspective for AI solution integration.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 indicates a critical lack of data or a severe failure in assessing cultural fit, including logical reasoning, work attitude, stress handling, and team collaboration. This score makes it impossible to evaluate cultural fit positively and raises significant concerns about the candidate's suitability for a collaborative work environment.

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 understanding and practical application of Machine Learning and Natural Language Processing (NLP) concepts, demonstrated through internships and projects.
Experience in predictive modeling, data preprocessing, model training, and performance optimization, directly relevant to AI Engineer responsibilities.
Proficiency in implementing NLP pipelines, including NER using spaCy and NLTK, and exposure to LLM fine-tuning.
Familiarity with various supervised machine learning algorithms (Logistic Regression, Naive Bayes, Random Forest, KNN, Decision Tree) and model evaluation metrics.
Ability to interpret AI-driven insights from multivariate datasets, supporting data-driven decision-making.
Solid academic background in Computer Science and Engineering with a strong GPA (8.11/10).
Full-stack development skills (React, Node.js, HTML, CSS, JavaScript) provide a broader engineering perspective for AI solution integration.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit