Aditya Dixit

Kannauj, Uttar Pradesh, India

Since March 11, 2026

Skills

SQLMysqlPythonData PreprocessingData Visualization DesignersPower BIJavaMachine LearningAdvanced Excel (VBA)

Experience

Zidio Development

Data Science & Analytics

June 1, 2025 – August 1, 2025

AICTE – Eduskills (Powered by Altair)

Virtual Data Science Intern

April 1, 2025 – June 1, 2025

Key Strengths

Strong foundational knowledge in Data Science and Machine Learning, validated by a 94% score in the domain-specific test.
Practical experience with Python and key ML/Data Science libraries (Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, TensorFlow) through internships and projects.
Demonstrated ability to apply ML algorithms to real-world problems (Fraud Detection, Text Classification, Predictive Modeling).
Proactive in self-learning and problem-solving, evidenced by LeetCode achievements and hackathon leadership.
Good academic performance (CGPA 7.6, though still pursuing degree).

Skill Analysis

Data Scientist — Artificial Intelligence

★★★★★

94%

Achieved an excellent score, indicating a robust understanding of fundamental data science and artificial intelligence principles, algorithms, and methodologies. The candidate demonstrated high accuracy in answering questions related to the core competencies of a Data Scientist in AI.

Data ScienceMachine LearningArtificial IntelligencePython ProgrammingData PreprocessingModel BuildingModel EvaluationSupervised LearningAnomaly DetectionNatural Language ProcessingPredictive Modeling

Strengths

Demonstrated strong theoretical and practical understanding of core data science and machine learning concepts.
Proficient in applying various ML algorithms for classification and anomaly detection tasks.
Solid grasp of data preprocessing, feature engineering, and model evaluation techniques.
Capable of building and evaluating ML models effectively.

Limitations

Specific areas of weakness within the high-scoring assessment are not identifiable from the provided data.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 62% indicates a moderate cultural fit. There may be areas for development in work attitude, stress handling, or team collaboration, which are crucial for senior-level roles.

Soft Skills & Operational Fit

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