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Data Analyst with 1+ years in MySQL & Python
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Assessing your cultural and operational fit
Results-driven Data Analyst and Database Administrator with 2+ year of production experience at a healthcare SaaS company. Specialises in MySQL performance optimisation, stored procedures, triggers, and high-availability replication. Skilled in Python-based ETL, machine learning, and full-stack data platform development. Consistently delivers measurable impact — 30% reduction in query time, 99.99% uptime readiness, and end-to-end data products used in live environments.
University of Swabi
BS · Computer Science
August 1, 2020 – June 30, 2024
SimplexMed/ObsidianPM
Database Administrator
December 1, 2024 – Present
Abbottabad, Khyber Pakhtunkhwa, Pakistan
NHS Patient Attendance Prediction
June 1, 2026 – Present
Processed NHS(HES) outpatient data (2024-25), created a large synthetic dataset, engineered key features, and trained classification models to predict patient non-attendance. Key findings: telemedicine reduced missed appointments by ~51%; age and appointment type were the strongest predictors. Deployed as an interactive Streamlit app.
View ProjectSocioeconomic & Crime Data Analyses
June 1, 2026 – Present
ONS Census 2021 analysis: examined economic activity across ethnic groups and NHS England regions, highlighting employment disparities and inactivity drivers — published on LinkedIn. Los Angeles Crime dataset: revealed trends by location, time, and victim demographics using heatmaps, bar charts, and pie charts to surface hotspots and incident-status breakdowns.
View ProjectApplicant Tracking System (ATS)
June 1, 2026 – Present
Processes hundreds of CVs in ~1 minute extracts name, contacts, skills, education, and calculates total experience from explicit mentions or date ranges. Scores each resume on experience, skills match, education, and completeness with fully adjustable logic; exports ranked candidates and per-candidate debug logs to Excel.
View ProjectInteractive Data Visualisation Platform (In Development)
June 1, 2026 – Present
Building a full-stack web application for uploading, cleaning, analysing, and visualising CSV/Excel datasets, JWT-secured REST API, and ML-powered predictive analytics. Backend: Flask API with SQLAlchemy ORM, rate-limiting via Flask-Limiter + Redis and bcrypt password hashing. Frontend: React 18 SPA with Tailwind CSS, Zustand state management, and interactive charts (Chart.js + Plotly); includes an admin panel for platform statistics and user management. ML features: Linear Regression, K-Means Clustering, and Outlier Detection powered by Scikit-learn. Fully containerised with Docker Compose; includes production Nginx reverse proxy, Let's Encrypt SSL, and AWS ECS auto-scaling configuration.
Live Job Market Analysis —– Reed.co.uk
June 1, 2026 – Present
Paginated extraction of the 1,000 most recent postings for any role; engineered features (jobAge, salaryAvg, remote flag); produced salary distributions, posting freshness, and competition metrics. Fully reproducible Jupyter notebook swap keywords (e.g. 'Data Analyst', 'ML Engineer') to generate fresh insights for any role.
View ProjectPython for Data Science, AI & Development
Coursera (IBM)
June 1, 2026 – Present
Introduction to Software Project Management
Coursera
June 1, 2026 – Present
Programming with Python
Coursera
June 1, 2026 – Present
What is Data Science
Coursera (IBM)
June 1, 2026 – Present
Meta Front-End Developer (9-courses)
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a strong interest in data analysis, machine learning, and full-stack development, aligning well with a Data Analyst role that often requires end-to-end data product development. The diversity of projects, from healthcare predictions to socioeconomic analysis and an ATS, indicates a broad curiosity and ability to apply skills across different domains. Their current role as a Database Administrator also provides a solid foundation in data management, which is crucial for data analysis. The certifications, while numerous, are mostly introductory and do not significantly enhance cultural fit beyond demonstrating a willingness to learn.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in optimizing database performance and developing complex data analysis solutions. Their experience in a healthcare SaaS company suggests an ability to work in a critical, production-oriented environment. Collaboration with cross-functional teams is also noted. However, without specific assessment data, a deeper evaluation of stress handling, team collaboration, and work attitude is not possible.