Ali Naeem
Data Scientist | Machine Learning Engineer
3.7
Years of Experience
Education
grenoble inp ense3, innoenergy, ku leuven, national university of science and technology
Companies
siemens, elichens, tetra pak, national university of sciences and technology nust
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Email (Verified)
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Mobile Number
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Experience
2020 - Present
siemens
Machine Learning Engineer
• Spearhead all aspects of the development of novel methods for validating grid compliance tests of wind turbines through employment of machine learning and neural networks. • Lead the creation and development of pipelines to pre-process data and extract hidden features through utilization of new research methods. • Play a key role by carrying out the development of time series classification and regression models using libraries, such as sktime, scikit-learn, and TensorFlow. • Perform research into and develop state of the art techniques in the field of ML, and DL to ensure success. • Partner closely with software engineers, data scientists, data engineers, ML engineers, researchers, and designers across all operations.
2019 - 2020
elichens
Deep Learning
• Conducted the automation of the control of HVAC Systems for ENSE3 building in Grenoble through utilization of expertise. • Drove the development of reinforcement learning model to identify optimum mass-flow rate through vents based on parameters including temperature, humidity, CO2 concentration, and more.
2017 - 2017
tetra pak
Data Scientist
• Charged with operating on Tetra Pak’s machine data to provide support to the Technical Services team with predictive maintenance. • Leveraged computer science applications, modeling, statistics, analytics, and math to uncover insights in data sets. • Conducted data wrangling operations to perform the cleaning of data from a wide variety of sources.
2016 - 2016
national university of sciences and technology nust
Machine Learning
• Served as an intern with Dr. Ahmed Salman at Nust and led the development of a MATLAB-based neural network application for face recognition. • Operated in a pivotal capacity by extending VGGFace Model developed at Oxford University for face verification by extracting and comparing facial features. • Demonstrated a track record of success with the project being sold for industrial application. • Piloted the development and implementation of new models to extract more value from collected data and information. • Employed machine learning and statistical modeling techniques to develop and examine algorithms to improve performance, quality, data management, and accuracy.
Experience
39 Skills
Algorithms
analytics
Automation
Cloud Computing
Collaboration
Communication
Data Analysis
Data Analytics
Data Mining
Data Science
Data Science
Data Scientist
Data Visualization
Deep learning
Deep Learning
Image Processing
Keras
Leadership
Machine Learning
Machine Learning (ML)
Matlab
Natural Language Processing (NLP)
Neural Networks
open cv
operations
Problem solving
Project Management
Project Management
python
Reinforcement Learning
Research
Research Scientist
Scikit
Scikit-Learn
Simulink
statistical modeling
statistics
strategy
Tensorflow
Education
2019 - 2020
grenoble inp ense3
Master's degree
Smart Grids and Buildings
2018 - 2020
innoenergy
Master's degree
Energy for Smart Cities
2018 - 2019
ku leuven
Master's degree
Energy
2014 - 2018
national university of science and technology
Bachelor of Engineering - BE
Electrical Engineering
