15.03.2025 aktualisiert
UA
100 % verfügbar
Data Analyst | Data Scientist | Statistical Modeling Expert
Magdeburg, Deutschland
Weltweit
M.Sc. Artificial Intelligence & Data Science, University of Hull, United KingdomSkills
AlgorithmusAnalyse-ToolsData AnalysisAutomatisierungTelekommunikationBusiness IntelligenceBig DataKundenerfahrungComputerprogrammierungKundenverständnisData IntegrationETLDatenvisualisierungFinanzenFehlerbaumanalyse
As a Data Analyst with a strong foundation in data analytics, statistical modeling, and machine learning, I specialize in transforming raw data into actionable insights that drive business decisions. My expertise spans SQL, Python, and R, where I work with complex datasets, build predictive models, and create interactive visualizations to highlight key perfromance indicators.
Having worked also as a Data Scientist on projects involving deep learning and natural language processing (NLP), I bring additional experience in advanced techniques for solving complex business problems. My expertise extends to applying deep learning algorithms and NLP models to extract actionable insights for unstructured data.
With experience across sectors such as finance, HR analytics, and telecommunications, I bring a results-oriented approach and a deep understanding of data integration, reporting, and process automation. I have delivered customised analytics solutions, optimized workflows, leveraged machine learning techniques to generate predictive insights.
Driven by passion for data, I am always looking to explore new challenges, where I can my skills in statistical analysis, machine and deep learning to solve complex problems and improve business challenges.
Core Competences:
Data Analysis and Machine Learning
Extensive experience in applying statistical and mathematical methods, machine learning, deep learning, and predictive modeling to tackle complex business challenges.
Programming and Database Management
Proficiency in SQL, Python, and R for data analysis, manipulation, and model development. Experience with database management and ETL processes.
Data Visualization and Reporting
Skilled in creating impactful visualizations and accurate reports using tools like Microsoft Power BI, and Excel to communicate findings effectively to diverse stakeholders.
Statistical Analysis and Modeling
Proficient in conducting comprehensive statistical analyses, including hypothesis testing, regression analysis, and time-series analysis for evaluating policy impacts and revealing underlying relationships.
Forecasting and Predictive Analytics
Skilled in building forecasting models and predictive analytics solutions using machine learning and statistical techniques to anticipate trends and optimize operations.
Business Intelligence and Peporting
Competence in developing dashboards and automated reports to monitor performance metrics and key indicators for strategic decision-making.
Big Data Technologies
Experience with big data technologies and frameworks for handling and processing large-scale datasets efficiently.
Natural Language Processing
Capability to leverage NLP techniques for extracting customer insights and enhancing customer experience and retention rates.
Risk Management and KPI Tracking
Skilled in evaluating and tracking KPIs to measure the effectiveness of data-driven initiatives and manage risks associated with data projects.
Having worked also as a Data Scientist on projects involving deep learning and natural language processing (NLP), I bring additional experience in advanced techniques for solving complex business problems. My expertise extends to applying deep learning algorithms and NLP models to extract actionable insights for unstructured data.
With experience across sectors such as finance, HR analytics, and telecommunications, I bring a results-oriented approach and a deep understanding of data integration, reporting, and process automation. I have delivered customised analytics solutions, optimized workflows, leveraged machine learning techniques to generate predictive insights.
Driven by passion for data, I am always looking to explore new challenges, where I can my skills in statistical analysis, machine and deep learning to solve complex problems and improve business challenges.
Core Competences:
Data Analysis and Machine Learning
Extensive experience in applying statistical and mathematical methods, machine learning, deep learning, and predictive modeling to tackle complex business challenges.
Programming and Database Management
Proficiency in SQL, Python, and R for data analysis, manipulation, and model development. Experience with database management and ETL processes.
Data Visualization and Reporting
Skilled in creating impactful visualizations and accurate reports using tools like Microsoft Power BI, and Excel to communicate findings effectively to diverse stakeholders.
Statistical Analysis and Modeling
Proficient in conducting comprehensive statistical analyses, including hypothesis testing, regression analysis, and time-series analysis for evaluating policy impacts and revealing underlying relationships.
Forecasting and Predictive Analytics
Skilled in building forecasting models and predictive analytics solutions using machine learning and statistical techniques to anticipate trends and optimize operations.
Business Intelligence and Peporting
Competence in developing dashboards and automated reports to monitor performance metrics and key indicators for strategic decision-making.
Big Data Technologies
Experience with big data technologies and frameworks for handling and processing large-scale datasets efficiently.
Natural Language Processing
Capability to leverage NLP techniques for extracting customer insights and enhancing customer experience and retention rates.
Risk Management and KPI Tracking
Skilled in evaluating and tracking KPIs to measure the effectiveness of data-driven initiatives and manage risks associated with data projects.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2023
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicher
Projekthistorie
As a Data Scientist Intern at KCOM, I optimized data workflows using Python and SQL to ensure efficient data extraction and reporting. I developed predictive models with machine learning algorithms and natural language processing (NLP) to analyze customer records, uncover insights, and improve customer experiences. I also enhanced business operations by creating interactive Power BI dashboards that provided insights into fault root causes, patterns, and trends. Working closely with stakeholders, I aligned dashboard designs with business needs and focused on performance and usability. Additionally, I implemented data quality checks, resulting in an 89% improvement in data accuracy, which contributed to more reliable decision-making processes and better predictions of customer behavior.
As a Data Analyst in the Debt Management Department at the Ministry of Finance, I played a key role in managing and analyzing government debt data, ensuring the accuracy and integrity of financial records. I developed financial models to forecast debt repayment schedules, interest expenses, and the impact of new debt issuances, providing valuable insights into debt sustainability. I was responsible for generating regular reports and dashboards on debt performance, helping to monitor the government’s debt portfolio and inform policy decisions. Additionally, I collaborated with cross-functional teams to ensure compliance with regulations and supported strategic debt management efforts through data-driven analysis.