Hassan Salman
Wiesbaden
Summary
Results-driven Data Analytics Professional with 9 years of experience in data analysis, modeling, and reporting to enhance business insights. Strong background in performance analysis, dashboard development, and KPI design, with a focus on improving data integrity and quality. Collaborates effectively across functions to support data-driven decision-making and training initiatives.
Overview
10
10
years of professional experience
Work History
Referent Datenanlyse
DB Fernverkehr AG
Frankfurt
06.2023 - Current
- Developed and optimized dashboards and self-service BI tools, enabling near-time monitoring of vehicle performance and improving data-driven decision-making.
- Streamlined data import and transformation processes, ensuring data integrity and consistency while improving accuracy of analytics for fleet performance tracking.
- Conducted regular data quality and vulnerability assessments, resolving inconsistencies to improve reliability of business-critical reports.
- Led performance analyses for vehicle management business unit, identifying operational trends and uncovering efficiency improvements that enhanced fleet utilization.
- Presented actionable performance insights to key stakeholders, driving strategic decisions that led to improved asset management and operational efficiency.
Data Scientist
DB Netz AG
Frankfurt
02.2023 - 05.2023
- Collected, integrated, and prepared data for dashboards and reports, providing stakeholders with actionable insights that informed data-driven decisions.
- Designed and deployed dashboards and self-service analytics tools in Tableau, identifying relevant data sources and streamlining data preparation for enhanced reporting capabilities.
- Performed ad-hoc data analyses on maintenance data to support strategic business decisions and improve operational effectiveness.
- Developed key performance indicators (KPIs) to monitor and optimize maintenance processes, ensuring alignment with business objectives and operational efficiency.
- Enhanced process KPIs through collaboration with internal and regional experts, refining metrics to support continuous improvement initiatives.
- Led workshops and training sessions on KPI methodologies for regional business partners, improving data literacy and establishing best practices.
Engineer Data Evaluation and Tools Support
Senvion GmbH
Osterrönfeld
04.2016 - 09.2019
- Applied statistical methods such as Weibull Analysis and Kaplan-Meier Analysis to assess risk populations and predict failure probabilities, supporting proactive maintenance strategies.
- Served as data expert in predictive maintenance project, providing analytical insights that improved forecasting accuracy and optimized asset performance.
- Conducted complex ad-hoc data analyses using sensor and status code data to identify root causes in non-conformity projects, improving issue resolution efficiency.
- Analyzed performance data to identify failure rate trends, initiating escalation processes to management for timely corrective actions.
- Created and validated monthly performance reports for Senvion wind turbine fleet, ensuring precise monitoring of operational efficiency and reliability.
Education
Master of Science (MSc.) - Electrical Power Engineering
Brandenburg Technical University
09.2015
Bachelor of Science (BSc.) - Electrical Engineering
University of Engineering & Technology
08.2011
Skills
- Data Querying and Analysis using SQL
- Data Modeling
- Data Visualization and Reporting using Oracle Apex
- Tableau
- Power BI
- Data Quality and Governance
- Data Analysis and Visualization using Python
- Version Control using Git
- Data Warehousing & ETL/ELT
- Documentation using Jira
- Performance Analysis
- Dashboard Design
- Data Storytelling
- Product Management
- Data Quality and Control
- Understanding Key Metrics and KPIs
Additional Qualifications
- Development with Oracle Application Express (APEX), 10/23, Muniqsoft Training GmbH, Munich, Bavaria, Germany, PL/SQL Basics, Javascript Basics, Tuning and Tracing of APEX Applications, APEX API
- Reliability Methods for Development and Serial Production, 03/18, VDI Wissensforum GmbH, Düsseldorf, North Rhine-Westphalia, Germany, Basics of Weibull Distribution and its Applications, System Reliability, Forecasting Methods
Languages
- English
- Urdu
- German, business fluent
- English, business fluent
- Urdu, native proficiency
Coursework
Statistics with Python Specialization, 10/23, Coursera (University of Michigan), Understanding and Visualizing Data with Python, Inferential Statistics with Python, Fitting Statistical Models to Data with Python
Timeline
Referent Datenanlyse
DB Fernverkehr AG
06.2023 - Current
Data Scientist
DB Netz AG
02.2023 - 05.2023
Engineer Data Evaluation and Tools Support
Senvion GmbH
04.2016 - 09.2019
Master of Science (MSc.) - Electrical Power Engineering
Brandenburg Technical University
Bachelor of Science (BSc.) - Electrical Engineering
University of Engineering & Technology