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I'm Nazmil Ashraf, a data scientist and AI practitioner based in Berlin. I'm currently pursuing a Master’s in Analytics and Artificial Intelligence at ESMT Berlin, with hands-on experience in deep learning, data pipeline development, and computer vision. I enjoy turning complex datasets into actionable insights using Python and core ML frameworks such as TensorFlow, PyTorch, and scikit-learn, and I emphasize rigorous model evaluation and robust feature engineering. My work is guided by curiosity, collaboration, and a drive to contribute to innovation. I’m seeking part-time, remote Data Scientist roles where I can apply my skills to real-world problems, build production ML pipelines, and communicate results clearly to stakeholders. My toolkit includes data visualization with Tableau, cloud-based data platforms, and strong programming skills across Python, SQL, and related technologies.…I'm Nazmil Ashraf, a data scientist and AI practitioner based in Berlin. I'm currently pursuing a Master’s in Analytics and Artificial Intelligence at ESMT Berlin, with hands-on experience in deep learning, data pipeline development, and computer vision. I enjoy turning complex datasets into actionable insights using Python and core ML frameworks such as TensorFlow, PyTorch, and scikit-learn, and I emphasize rigorous model evaluation and robust feature engineering. My work is guided by curiosity, collaboration, and a drive to contribute to innovation. I’m seeking part-time, remote Data Scientist roles where I can apply my skills to real-world problems, build production ML pipelines, and communicate results clearly to stakeholders. My toolkit includes data visualization with Tableau, cloud-based data platforms, and strong programming skills across Python, SQL, and related technologies.

Nazmil Ashraf

Data Scientist, AI Engineer, AI Developer, +2

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I'm Nazmil Ashraf, a data scientist and AI practitioner based in Berlin. I'm currently pursuing a Master’s in Analytics and Artificial Intelligence at ESMT Berlin, with hands-on experience in deep learning, data pipeline development, and computer vision. I enjoy turning complex datasets into actionable insights using Python and core ML frameworks such as TensorFlow, PyTorch, and scikit-learn, and I emphasize rigorous model evaluation and robust feature engineering. My work is guided by curiosity, collaboration, and a drive to contribute to innovation. I’m seeking part-time, remote Data Scientist roles where I can apply my skills to real-world problems, build production ML pipelines, and communicate results clearly to stakeholders. My toolkit includes data visualization with Tableau, cloud-based data platforms, and strong programming skills across Python, SQL, and related technologies.…I'm Nazmil Ashraf, a data scientist and AI practitioner based in Berlin. I'm currently pursuing a Master’s in Analytics and Artificial Intelligence at ESMT Berlin, with hands-on experience in deep learning, data pipeline development, and computer vision. I enjoy turning complex datasets into actionable insights using Python and core ML frameworks such as TensorFlow, PyTorch, and scikit-learn, and I emphasize rigorous model evaluation and robust feature engineering. My work is guided by curiosity, collaboration, and a drive to contribute to innovation. I’m seeking part-time, remote Data Scientist roles where I can apply my skills to real-world problems, build production ML pipelines, and communicate results clearly to stakeholders. My toolkit includes data visualization with Tableau, cloud-based data platforms, and strong programming skills across Python, SQL, and related technologies.

Available to hire

I’m Nazmil Ashraf, a data scientist and AI practitioner based in Berlin. I’m currently pursuing a Master’s in Analytics and Artificial Intelligence at ESMT Berlin, with hands-on experience in deep learning, data pipeline development, and computer vision. I enjoy turning complex datasets into actionable insights using Python and core ML frameworks such as TensorFlow, PyTorch, and scikit-learn, and I emphasize rigorous model evaluation and robust feature engineering.

My work is guided by curiosity, collaboration, and a drive to contribute to innovation. I’m seeking part-time, remote Data Scientist roles where I can apply my skills to real-world problems, build production ML pipelines, and communicate results clearly to stakeholders. My toolkit includes data visualization with Tableau, cloud-based data platforms, and strong programming skills across Python, SQL, and related technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Malayalam

Fluent

Hindi

Advanced

German

Beginner

Arabic

Advanced

Work Experience

Customer Success Executive at JODO

March 1, 2024 - July 1, 2025

Grew a growing portfolio from 2 to over 25 accounts in 6 months; led outbound calls and product pitches, converting 900+ leads; managed over 10 accounts, nurturing client relationships and opportunities to meet sales targets; expanded relationships with 50+ clients across South India; served as the main point of contact for school leadership, ensuring product adoption and trust; led end-to-end onboarding and achieved a 20% increase in retention; mentored 5+ new team members and contributed to team performance improvements; represented JODO at 20+ school events, enhancing brand visibility and partner opportunities; improved client retention by identifying needs and providing consistent follow-ups.

Project: Advanced Machine Learning Algorithms & Predictive Forecasting at ESMT Berlin

October 1, 2025 - November 1, 2025

Developed and evaluated classification models to assess customer loan default rates, focusing on feature importance and model interpretability; applied Grid Search and Cross-Validation to optimize hyperparameters; achieved improved predictive accuracy across tested models.

Project: Analyzing Titanic Tragedy at ESMT Berlin

November 1, 2025 - November 1, 2025

Applied regression models to predict passenger survival rates based on social class, gender, and ticket price; utilized Linear and Non-Linear Regression techniques to model relationships and outcomes; demonstrated hypothesis testing to isolate statistical significance of factors.

Project: Data Wrangling Project at ESMT Berlin

September 1, 2025 - October 1, 2025

Engineered a strategic portfolio model by integrating multiple APIs and open-source data to quantify market demand and competitor saturation; transformed a financial modeling output for 150 locations using spatial visualization to provide actionable ROI recommendations; developed high-impact Tableau visualizations for investor pitches.