Andreas Schwarzkopf

Data Engineering Consultant (Retail AI Division)

AI Expert - The AI Navigator 🧭 Top AI Voice | Mercedes-Benz Alum | Sharing AI Insights for Leaders

With over 12 years of hands-on AI integration experience across various industries, I guide companies through AI-native transformations.

My background:

- LinkedIn Top Voice, recognized for practical AI insights
- Consulted for Mercedes-Benz to enhance manufacturing quality using AI
- Advised on AI across various industries, including retail, telecom, education, and more
- Founded a data and AI startup, leading it to a successful exit.

What you can expect from my AI-native newsletter:

- Insights on AI-native strategies for a competitive edge and sustainable growth
- Tactics for efficient and customer-focused AI-native operations
- Guidance on creating a data-driven, innovative, and responsible AI-native culture.

Follow me and subscribe to my newsletter for practical advice on building an AI-native business.

Looking forward to connecting!

CEO / Founder, AI Strategist

Helping businesses understand and harness the potential of AI.

Mercedes-Benz Insurance Services GmbH

Data Scientist Werkstudentin im Bereich Prozess- und Projektmanagement 

Projects:

• Developed an interactive chatbot for reading PDFs using the LangChain framework and Large Language Models to enhance user interaction.
• Created a deep learning model (U-Net, Attention U-Net) to improve the accuracy of left ventricle (LV) segmentation in cardiac MRI images.
• Developed an LSTM model to predict the closing price of Meta Platforms, Inc. based on historical stock prices.
• Implemented a transformer-based model for credit card fraud detection using transaction data.
• Built predictive models to assess salary satisfaction and forecast salaries for data-related positions using classification and linear regression.
• Predicted Falcon 9 first-stage landings to estimate launch costs, providing strategic insights for competitors bidding on rocket launches.
• Applied ARIMA/SARIMA models for demand forecasting and inventory optimization for retail companies using Python.
• Analyzed mentorship data from Pathrise to predict job placements and time to placement, offering strategic insights for the tech job market.
• Developed a machine learning model to classify movie reviews into positive and negative sentiments.
• Predicted real estate prices.

Data Scientist

Tehran Municipality شهرداری تهران

• Applied machine learning algorithms for demand forecasting and inventory management,
improving logistics efficiency.

• Led the tendering process, including bid evaluations, contract negotiations, and vendor
management.

• Analyzed urban data to provide actionable insights, enhancing operational efficiency in
municipal projects.

•Developed key performance metrics and dashboards to align data initiatives with municipal
objectives.

Supply Chain Analyst Specialist

Energy Hooshmand Arsha ( NOWAN )

• Predict driver Behaviour By using Machine Learning
• Developed and deployed machine learning models to optimize business processes, such as
predictive analytics for customer behavior and demand forecasting.
• Conducted statistical analysis and data mining to uncover actionable insights, enabling data-
driven decision-making across departments.
• Built and maintained end-to-end data pipelines, from data collection and cleaning to feature
engineering and model training, ensuring data quality and model accuracy.
• Collaborated with cross-functional teams to translate business requirements into data science
solutions, creating dashboards and visualizations to communicate findings effectively to
stakeholders.

• Managed project budgets, timelines, and milestones to ensure successful delivery of projects.

• Coordinated relationships with stakeholders using RACI diagrams, improving communication and
project outcomes.

• Implemented machine learning to enhance agile project management, improving task
prioritization

•Developed data visualization tools that improved decision-making and project execution

Project Coordinator Analyst

Rojan and partners engineering company

•	 Coordinated cross-functional teams for project success
•	 Monitored project progress and mitigated risks
•	 Developed project plans, schedules, and budgets
•	 Maintained database of production information to inform decision-making and improve efficiency

Commercial Manager Trainer

Experienced Data Scientist specializing in Generative AI and machine learning, with a focus on deploying Large Language Models (LLM) to drive innovation and enhance client experiences. Skilled in statistical modeling, predictive analytics, and data visualization, I excel at extracting actionable insights from complex data and aligning technical solutions with business goals.

📊Key Projects & Expertise:

- Machine Learning: Developed Left Ventricle Segmentation using U-Net and Stock Price Prediction with LSTM.
- LLM Applications: Created an interactive PDF-reading chatbot with the LangChain framework.
- Predictive Analytics: Executed Demand Forecasting and Credit Card Fraud Detection using Transformer models.
- Strategic Insights: Provided actionable insights through Film Review Classification and First Stage Landing Prediction for Falcon 9.

🚀 If you're seeking a data scientist who thrives in challenging situations and drives strategic insights for the best decisions, I'm the right choice.
📧 Contact: ghazalnazari1990@gmail.com

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