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Data Analyst with less than a year in database analytics and advanced predictive modeling, proficien
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with a powerful technical background bridging foundational database analytics and advanced predictive modeling. Highly proficient in optimizing SQL queries, structuring clean relational databases, and transforming raw CSV data streams using Python (Pandas, NumPy). Deeply passionate about statistical model evaluation and modern artificial intelligence, currently expanding capabilities in deep learning and neural network architectures.
Unknown
Bachelor of Science · Computer Engineering
N/A – Present
End-to-End E-Commerce Customer Insights & Analytics Pipeline
June 24, 2026 – Present
Extracted, cleaned, and structured transactional and user logs from relational databases utilizing complex SQL queries. Processed raw structural CSV datasets via Python (Pandas/NumPy) to eliminate anomalies, handle missing values, and scale data profiles.
Predictive Machine Learning Modeling & Performance Benchmarking
June 24, 2026 – Present
Designed and implemented classification models using Scikit-Learn to evaluate health/operational states based on complex clinical metrics. Conducted intense model evaluations to ensure optimal generalization capacity. Currently extending capabilities by developing basic Deep Learning and Multi-layer Perceptron architectures for unstructured sequential inputs.
Deep Learning & Advanced Machine Learning Specialization
Unknown
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a passion for data analytics and machine learning, which aligns well with a culture that values continuous learning and innovation. The breadth of skills from SQL to deep learning indicates adaptability. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, particularly in the area of deep learning. The focus on model evaluation suggests an analytical and detail-oriented mindset. However, without specific work experience, it's difficult to assess operational fit, teamwork, or stress handling capabilities.