Lakshita Mishra

Bhubaneswar, india

Since August 19, 2025

Skills

Front-endWeb DevelopersGit-GitHubPythonWeb DesignersAI Engineers

Experience

InLighnX Global Pvt. Ltd.

AI/ML Intern

June 1, 2025 – August 1, 2025

Key Strengths

Relevant academic background with a B.Tech in Computer Science and Engineering (AIML).
Demonstrated foundational understanding of core Machine Learning algorithms (Random Forest, Decision Tree).
Experience with critical ML concepts such as imbalance handling (SMOTE), hyperparameter tuning (GridSearchCV), and model evaluation metrics (precision, recall, ROC-AUC).
Hands-on experience with computer vision tasks, including real-time face detection using OpenCV, Haar Cascade Classifier, TensorFlow, and Keras.
Proficiency in Python and key ML/DL libraries (scikit-learn, TensorFlow, Keras, NumPy, Pandas).
Exposure to end-to-end project development, from model training to saving (Joblib), indicating practical application skills for an entry-level role.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 56% suggests a moderate cultural fit. Areas such as logical reasoning, work attitude, stress handling, and team collaboration may require further development to seamlessly integrate into a collaborative and demanding professional setting.

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

Relevant academic background with a B.Tech in Computer Science and Engineering (AIML).
Demonstrated foundational understanding of core Machine Learning algorithms (Random Forest, Decision Tree).
Experience with critical ML concepts such as imbalance handling (SMOTE), hyperparameter tuning (GridSearchCV), and model evaluation metrics (precision, recall, ROC-AUC).
Hands-on experience with computer vision tasks, including real-time face detection using OpenCV, Haar Cascade Classifier, TensorFlow, and Keras.
Proficiency in Python and key ML/DL libraries (scikit-learn, TensorFlow, Keras, NumPy, Pandas).
Exposure to end-to-end project development, from model training to saving (Joblib), indicating practical application skills for an entry-level role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit