About Mubashir
I am a Data Science & Automation Specialist with 3+ years of experience helping businesses turn raw data into actionable insights and efficient automated systems. I support companies in improving decision-making, reducing manual work, and building scalable data-driven solutions.
I offer services across the full data lifecycle, including data extraction, web scraping, data cleaning, preprocessing, transformation, analysis, visualization, and reporting. I primarily use Python and modern data tools to handle both structured and unstructured data from multiple sources.
🚀 I offer the following services:
✔️ Data Analytics & Business Intelligence solutions
✔️ Web Scraping & Data Extraction (websites, APIs, documents)
✔️ Data Cleaning, Preprocessing & Data Transformation
✔️ ETL Pipeline Development & Data Engineering
✔️ Workflow Automation & Process Optimization
✔️ Exploratory Data Analysis (EDA) & Insights generation
✔️ Dashboard Development & Reporting (Power BI, Excel)
✔️ Machine Learning models for prediction & classification
✔️ API Integration & Automated Data Collection systems
🛠️ Technical Skills:
✔️ Python, SQL, Pandas, NumPy, Scikit-learn
✔️ Scrapy, Playwright, Selenium, BeautifulSoup
✔️ ETL pipelines, APIs, data validation, automation workflows
✔️ Power BI, Excel, Matplotlib, Seaborn
🤖 Machine Learning Experience:
✔️ Classification & Regression models
✔️ Feature Engineering
✔️ Model Evaluation & Optimization
✔️ Predictive Analytics
I focus on delivering clean, reliable, and scalable solutions tailored to business needs. My goal is to help clients save time, automate repetitive processes, and unlock the full value of their data through efficient and maintainable systems.
English
Fluent
German
Conversational
Hindi
Native or bilingual
Can work on-site
Frankfurt am Main (up to 50km)
Experience
- Ledermode GbrData EngineerMay 2026 - Today (1 month)Frankfurt am Main, Germany• Automated end-to-end operational workflows, eliminating repetitive manual tasks and improving process efficiency by ~50%.• Designed and deployed Python-based automation systems to streamline business operations and reduce human intervention by ~40%.• Built interactive Flask web applications for internal tools, enabling real-time monitoring of workflows, task execution, and operational KPIs.• Developed reporting and analytics dashboards to track workforce allocation, productivity, and performance metrics, improving visibility by ~35%.• Implemented SQL and Python-driven ETL pipelines to connect, transform, and synchronize business data across multiple operational systems.• Integrated automation scripts with APIs and backend services, enabling seamless data flow between applications and reducing processing delays by ~30%.• Applied data-driven optimization techniques to improve operational decision-making and reduce workflow inefficiencies by ~25%.• Engineered reusable automation modules and backend services, reducing development time for new workflows by ~40%.• Collaborated on building lightweight AI-assisted data processing components, improving data classification and task automation accuracy by ~20%.
- Reworkd.aiData EngineerMarch 2024 - February 2026 (1 year and 11 months)California City, United StatesDesigned and implemented scalable workflow automation systems for large-scale datasets, streamlining data collection and processing and reducing manual effort by ~50%.• Built robust data extraction pipelines (web scraping, API integration, structured sources) improving data availability speed by ~40%.• Developed and maintained data validation and integrity checks, increasing dataset reliability and reducing data inconsistencies by ~30%.• Created automated ETL workflows for ingestion, transformation, and storage, improving end-to-end processing efficiency by ~45%.• Integrated multiple data sources into unified pipelines, reducing data preparation time for analytics by ~35%.• Improved system performance by optimizing data processing logic and query execution, reducing runtime by ~25%.• Collaborated across teams to enhance internal tools, reporting systems, and operational workflows, increasing reporting efficiency by ~30%.• Built reusable data engineering components and automation scripts, reducing repetitive engineering tasks by ~40%.• Supported analytics and business teams by delivering clean, structured, and analysis-ready datasets, improving decision-making turnaround time by ~30%.• Documented and standardized workflow architecture, improving maintainability and reducing onboarding time for new contributors by ~35%.
- Abacus.aiData ScientistJuly 2023 - February 2024 (7 months)California City, United States• Built and configured automated data workflows and pipelines, reducing manual data handling effort by ~45% and improving reporting speed by ~35%.• Designed and implemented data validation and testing frameworks, increasing data accuracy and consistency by ~30% across analytics pipelines.• Improved data quality processes by identifying and resolving inconsistencies, reducing data errors by ~25% before analysis and reporting.• Performed end-to-end debugging and optimization of data pipelines, reducing processing failures and downtime by ~20%.• Documented complex data workflows, transformations, and processing logic, improving onboarding efficiency for new users by ~40%.• Supported analytics and business teams by ensuring clean, structured, analysis-ready datasets, improving decision-making turnaround time by ~30%.
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Education
- M.Sc. in High Integrity SystemsFrankfurt University of Applied Sciences
- Bachelor of Science in Computer ScienceUniversity of Gujrat2022Bachelor's of computer science , Computer Science