Sadia Mahjabin
Data Analyst @TK Elevator
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WORK HISTORY
Data Analyst @TK Elevator
Düsseldorf, DE
Analysed existing systems and workflows by collaborating with IT and business teams, identifying future improvement opportunities and improving alignment between technical and operational goals-Built an automated reporting pipeline using Databricks and Python (PySpark), feeding 5+ Power BI reports that enabled self-service access for key users and reduced manual reporting and ad-hoc data extraction by ~40%-Proposed and implemented a structured data architecture using Databricks, SQL, and validation checks, cleaning unnecessary tables and columns and reducing data redundancy by ~25–35%, while improving query performance and report reliability-Extracted, cleaned, and analysed large-scale IoT datasets using SQL (MySQL), Python, and Azure storage, improving performance tracking accuracy and enabling more consistent monitoring across devices and regions-Designed and deployed a low-code survey application using Microsoft PowerApps, integrating user feedback directly into analytics pipelines and increasing feedback availability for data-driven decision-making- Preprocessed complex datasets and created schema visualisations using SQL and documentation tools, improving data transparency and reducing onboarding and analysis time for process-mining-related tasks.
EDUCATION
Khulna University
Bachelor of Engineering (B.Eng.), Computer Science
TU Dortmund University
Master of Science - MS, Data science
ABOUT SADIA MAHJABIN
Hi! I’m Sadia Mahjabin, a curious and results-driven professional with a background in data science and software development. I love exploring data to uncover stories, patterns, and insights that can actually make a difference — whether it’s optimizing a process, improving a system, or helping a team make smarter decisions.My motivation lies in uncovering actionable patterns from data and transforming them into practical strategies that solve real-world problems. Here’s what I work with:Data Science & Machine Learning- Data preprocessing, model development, and evaluation in Python- Deep learning using TensorFlow and Keras- Exploratory data analysis and visualization in Python and R- Classical and modern algorithms: Naive Bayes, KNN, SVM, Decision Trees, Random Forest, Neural Networks, Hypothesis TestingData Analysis & Reporting- Power BI and Excel for interactive dashboards and KPIs- SQL and Databricks for data extraction and transformationWeb Development- Frontend: HTML, CSS, Bootstrap, Vue.js- Backend: ASP.NET, C#I’m now looking for opportunities where I can bring together my technical expertise and problem-solving mindset to build data-driven solutions, streamline workflows, and create measurable business impact.
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