Mariam Naeem Email & Phone Number
@hbl.com
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Who is Mariam Naeem? Overview
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Mariam Naeem is listed as Machine Learning Engineer at Evonik, a with 9298 employees, based in Berlin, Germany. AeroLeads shows a work email signal at hbl.com and a matched LinkedIn profile for Mariam Naeem.
Mariam Naeem previously worked as AI Contributor - AI Makerspace, DPS, UnternehmerTUM, Munich at Digital Product School By Unternehmertum and Data Scientist at Dieproduktmacher. Mariam Naeem holds Master Of Science - M.Sc., Digital Engineering from Otto-Von-Guericke University Magdeburg.
Email format at Evonik
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AeroLeads found 1 current-domain work email signal for Mariam Naeem. Compare company email patterns before reaching out.
About Mariam Naeem
I am a Data Scientist experienced in consultancy and product development. I enjoy solving complex business problems with data and creating business value. I have strong foundations in the theoretical knowledge of machine learning and deep learning and have hands-on experience in developing complete model pipelines, i.e., data preprocessing, algorithm implementation, testing, evaluation, and deployment. I am competent in translating business requirements into technical requirements, sharing data insights with stakeholders, agile product development, and proof of concept for AI applications. In addition to workshops, I provide mentoring as a means of sharing my knowledge. I have extensively worked in the domain of Natural Language Processing (NLP), time-series forecasting, and generative AI. I am a strong advocate of a collaborative work environment, sharing ideas and implementing best practices among teams.
Listed skills include Mechatronics, Robotics, Microsoft Office, Proteus, and 13 others.
Mariam Naeem's current company
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Mariam Naeem work experience
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Ai Contributor - Ai Makerspace, Dps, Unternehmertum, Munich
- Conduct workshops for AI Engineers at Digital Product School (DPS).- Provide support to DPS teams for ideation and fast prototyping of AI solutions.
Data Scientist
- Development of machine learning products in an interdisciplinary product team.- Identify AI potentials for a given business challenge and prioritize use cases.- Gather and pre-process data, perform exploratory data analysis, and share insights.- Design, implementation, and evaluation of machine learning models.- Deployment and maintenance of models in the cloud.- Monitoring and optimization of key performance indicators (KPIs).
Master Thesis Student
Thesis Topic: Time Series Generative Adversarial Networks for Wet Road Detection- Synthesis of multivariate time-series data using Recurrent Neural Network (RNN) based Generative Adversarial Networks (GANs).- Developed a machine model to predict the condition of the road (wet, icy, snowy) in real-time based on spatial-temporal data.
Artificial Intelligence Engineer
Developed a digital bike bell using AI to generate real-time notifications for car drivers.As an AI Engineer, I worked on the following: - Proposed Artificial Intelligence (AI) solutions relevant to the problem space (5G and V2X connectivity).- Set up data pipeline and supported early launch of data-driven features. - Contributed to engineering, planning, and validating technical feasibility.- Built and deployed a machine learning (ML) model and facilitated the launch of a minimal viable product (MVP).- Improved ML model based on user testing/user feedback.
Manager
- Served as a liaison between the corporate customers and the bank—supported customers in availing credit lines, trade lines, and other services according to their requirements.- Assessed the credit risk of the corporates based on the financial performance and market analysis.
Colleagues at Evonik
Other employees you can reach at evonik.com. View company contacts for 9298 employees →
Daniel K. Berndt
Colleague at EvonikEssen, North Rhine-Westphalia, Germany
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AA
Ayat Alhamoud
Colleague at EvonikEssen, North Rhine-Westphalia, Germany
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EO
Emma O' Keeffe
Colleague at EvonikVancouver, British Columbia, Canada
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HG
Hua Guan, Cscp
Colleague at EvonikMinhang District, Shanghai, China
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SB
Shannon Brereton
Colleague at EvonikVancouver, British Columbia, Canada
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EK
Elke Kames
Colleague at EvonikTönisvorst, North Rhine-Westphalia, Germany
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JB
John Bersane
Colleague at EvonikOmaha, Nebraska, United States
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RV
Raina Vaidya
Colleague at EvonikMumbai, Maharashtra, India
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PR
Pandia Rajan
Colleague at EvonikTiruvallur, Tamil Nadu, India
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MM
Matthias Müller
Colleague at EvonikHaltern, North Rhine-Westphalia, Germany
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Mariam Naeem education
Master Of Science - M.Sc., Digital Engineering
Bachelor Of Engineering - Be, Mechatronics
Frequently asked questions about Mariam Naeem
Quick answers generated from the profile data available on this page.
What company does Mariam Naeem work for?
Mariam Naeem works for Evonik.
What is Mariam Naeem's role at Evonik?
Mariam Naeem is listed as Machine Learning Engineer at Evonik.
What is Mariam Naeem's email address?
AeroLeads has found 1 work email signal at @hbl.com for Mariam Naeem at Evonik.
Where is Mariam Naeem based?
Mariam Naeem is based in Berlin, Germany while working with Evonik.
What companies has Mariam Naeem worked for?
Mariam Naeem has worked for Evonik, Digital Product School By Unternehmertum, Dieproduktmacher, Bosch, and Hbl - Habib Bank Limited.
Who are Mariam Naeem's colleagues at Evonik?
Mariam Naeem's colleagues at Evonik include Daniel K. Berndt, Ayat Alhamoud, Emma O' Keeffe, Hua Guan, Cscp, and Shannon Brereton.
How can I contact Mariam Naeem?
You can use AeroLeads to view verified contact signals for Mariam Naeem at Evonik, including work email, phone, and LinkedIn data when available.
What schools did Mariam Naeem attend?
Mariam Naeem holds Master Of Science - M.Sc., Digital Engineering from Otto-Von-Guericke University Magdeburg.
What skills is Mariam Naeem known for?
Mariam Naeem is listed with skills including Mechatronics, Robotics, Microsoft Office, Proteus, Solidworks, Labview, Teamwork, and Microcontrollers.
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