Paya Moghtanem
Data Science & Ai Ml Trainee (further Training-weiterbildung) @neuefische GmbH - School and Pool for Digital Talent
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WORK HISTORY
Data Science & Ai Ml Trainee (further Training-weiterbildung) @neuefische GmbH - School and Pool for Digital Talent
Düsseldorf, DE
Description: Enrolled in an intensive Data Science, AI & Machine Learning Bootcamp Gaining hands-on experience in Python, SQL, Machine Learning, AI & Data Analytics Working on projects involving Predictive Modeling, NLP, Cloud Computing & Big Data Building a Capstone Project applying ML & AI solutions to real-world business challenges
EDUCATION
University of Applied Science and Technology
Associate of Science - AS, Electrical and Electronics Engineering
University of Tehran
Master of Business Administration - MBA
University of Applied Science and Technology
Bachelor of Engineering - BE, Mobile Telecommunication System Engineering
neuefische GmbH - School and Pool for Digital Talent
Certification in Data Science, AI & Machine Learning, Data Science & AI
ABOUT PAYA MOGHTANEM
Data has been the core of a 7+ year career in the telecommunications sector, focusing on network performance analytics and business intelligence. Experience includes leading large-scale data initiatives that enhanced operational efficiency and business performance. Successfully automated over 200 dashboards using Python, SQL, and BI Tools —cutting network downtime by 50%, reducing reporting time by 40%. These results came from aligning technical workflows with business KPIs, translating complex network data into actionable insights, and improving decision-making. To build on this foundation, completed a 540-hour full-time Data Science & Machine Learning bootcamp at neuefische x SPICED Academy. Gained hands-on experience with supervised learning, time series forecasting, and model interpretability. The capstone project involved developing a stock market forecasting model using Temporal Fusion Transformers (TFT), enabling multivariate, multi-step predictions with explainable outputs. Brings a unique mix of telecom domain expertise, machine learning capabilities, and stakeholder communication skills. Proficient in Python, SQL, Tableau, Power BI, Scikit-learn, TensorFlow, Git, and Streamlit. Fluent in English and professionally proficient in German. Open to Data Scientist or Data Analyst roles in Germany that value problem-solving, measurable results, and the ability to bridge technical insight with business impact.
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