About Me
Hello, my name is Ali and I have authored several research publications. I have extensive experience in building and testing ML/AI models and hold a dual master's degree. I am a Data Scientist by day and a Mad Scientist by night (evil laugh intended), who is constantly on the lookout for the most state-of-the-art algorithms. I am interested in coding, mathematical modeling, optimization, machine learning, graph neural network, reinforcement learning (add few more Buzz words), and the intersection of all these.
Education
North Carolina State University
Raleigh, NC
Master's Operations Research
2017 - 2020
Istanbul Sehir University
Istanbul, Turkey
Master's Industrial and Systems Engineering
2015 - 2017
NED University
Karachi, Pakistan
B.E. Industrial and Manufacturing
2010-2013
Work Experience
Bank of America
Charlotte, NC
Data Scientist
Leveraging data science to combat evolving fraud patterns and empower data-driven decision making.
- Monitored and evaluated fraud models using data drifts, Confusion Matrices, Precision-Recall curves, and KPIs.
- Uncovered fraud trends with advanced statistics to proactively adjust detection strategies.
-Contributed to sophisticated detection mechanisms to stay ahead of emerging threats.
-Communicated complex findings to drive data-driven decision-making.
2024 - present
Lowes
Charlotte, NC
Data Scientist
I am responsible for developing and implementing advanced statistical and machine learning models to identify the consumer demand patterns and predict the sales lift for each assortment location pair due to severe weather events. My work directly impacts the company's revenue and profitability by ensuring that our stores are stocked with the right products to meet the needs of customers during and after severe weather events.
2022 - 2024
HTN Networks Inc.
Irvine, CA
Data Scientist- Operations Research
HTN Network is a startup and a Cisco partner organization with a vision to achieve full network automation. Developed and implemented a reinforcement learning and ensemble machine learning model to identify malicious network traffic. Continuously improved model performance through experimentation and testing. Established robust post-deployment checks, including data drift monitoring, to guarantee ongoing effectiveness.
2020 - 2022
Rafay Systems
Sanfrancisco, CA
Data Scientist Internship
Rafay system is a Silicon Valley Edge Computing Startup. I worked with a team to help them achieve resource efficiency by mathematically modeling the problem as a dynamic programming optimization problem.
2019
MUFG Bank
New York, NY
Grad Consultant
- Utilized advanced analytic and data visualization tools to achieve supplier consolidation
- Developed a hierarchy of KPIs that helped the bank in making more informed decisions.
2018
NCSU
Raleigh, NC
Graduate Research Assistant
The research involved - computation modeling of environmental footprints across various levels of the supply chain. - used optimization algorithms to determine the best energy mix under different scenarios.
2017 - 2018
Istanbul Sehir University
Istanbul, Turkey
Teaching Assistant
- Course: ISE 521 Introduction to Operation Research and Industrial Engineering Topics. - Grading and helping students to solve and debug assignments in python. - Conducted Labs of optimization solvers like LINDO and GAMS.
2015 - 2017
Lucky Cement Ltd.
Karachi, Pakistan
Supply Chain Officer
My work was mainly related to procurement but I worked in coordination with inventory and logistics to reduce overall lead time.
2014- 2015
Some projects I have worked on
- Multi-Variat forecast of Bitcoins prices using LSTM.
- Computer Vision: Grocery item classifier Developed a classifier model based on pretrained VGG-16 model and CNN layers to distinguish 25 grocery store products. The model achieved 90% accuracy on the unseen data.
- A Generative Adversarial Network (GAN) Implemented Cycle GANs for data augmentation for a computer vision project. Number of images were doubled, and the generated data improved the model performance by 10%.
- Optimized aircrafts maintenance schedule using Mixed Integer Linear programing (MILP) by CPLEX.
- Capacitated Vehicle Routing problem(VRP) challenge by vorto.ai which is an autonomous supply chain platform.
- Network intrusion detections using Machine learning to detect malicious activity that compromise security of a network.
- Predicting remaing battery life of NASA's electric aircraft using Neural Network.
- Time series analysis using ARIMA nand LSTM.
- Dynamic programming optimization for server allocation in an edge computing startup.
- Natural Language Processing for Quora Insincere question classification. Identify and flag insincere questions using LSTM, CNN and GRU
- As a kaggler I also attempted Kaggle Rossman Store Sales prediction.
- more items coming soon...
Relevant coursework
- CSC 522 Automated Learning and Data analysis
- OR 589 Application of Data Science in Health Care
- OR 791 Data science for Industrial Engineering
- ISE 582 Data Science for Business
- ISE 760 Applied Stochastic Models
- ECE 523 Machine Learning
- Deep Learning Specialization
- Apply Generative Adversarial Networks (GANs)
Courses from Coursera and udemy for self learning-
- OR 505 Linear Programming
- OR 709 Dynamic programming
- CSC 505 Design and Analysis of Algorithms
- ISE 754 Logistic Engineering
- ISE 723 Production Planning, Scheduling, and Inventory Control
- ECE 523 Machine Learning
- Deep Reinforcement Learning 2.0
- Deep Learning and Computer Vision A-Z™: OpenCV and SSD
Things I do for fun
- Natural Language Processing (NLP), I have made a Wisdom bot that would answer most of your question with amazing quotes of wise people. Try it here!
- Generative Adversarial Network (GAN) and Neurostyling. An example of generating my own art work is below (Mono Lisa type painting of me having tea with my sister at Sedona, Arizona.)
- Currently I am learning to generate music using using Generative Adversarial Network (GAN). My music art will be comming soon...
- I read books on science, philosophy, entrepreurship and history.
- On weekends I play soccer or go outdoors for hiking and explore beautiful places.
Research publications
- Master thesis tile “The Assessment and Integration of Material Footprint in National Energy Development Plans’’. Diss. 2017.
- Kucukvar, M., Haider, M.A. and Onat, N.C., 2017. Exploring the material footprints of national electricity production scenarios until 2050: the case for Turkey and UK. Resources, Conservation and Recycling, 125, pp.251-263.
- Kucukvar M., Onat, NC, Haider, MA. “Scarce Resource-dependence of the European Electricity Production Scenarios until 2050” The International Symposium on Sustainable Systems and Technology (ISSST), May 16-18, 2016, Phoenix, Arizona, USA
- Kucukvar, M., Onat, N.C., Haider, M.A. and Shaikh, M.A., 2017. A global multiregional life cycle sustainability assessment of national energy production scenarios until 2050. In International Conference on Industrial Engineering and Operations Management Bogota.
- First author and presenter At SPE International Intelligent Energy Conference, UAE 2013, SPE, the paper titled “Intelligent integrated management for new ventures in high risk developing countries” ISBN 978-1-61399-276-0. An energy sector firm’s Supply chain KPI were developed using the Supply Chain Operation Reference Model (SCOR) model
- Onat, NC, Haider, MA, Kucukvar M, "Material Dependence of National Electricity Generation Plans: The Case for Turkey and United Kingdom", Journal of Cleaner Production, 2017
- Sen B, Kucukvar M., Onat, NC, Haider, MA, “Material Footprint of Alternative Fuel Vehicles: A Multi-Regional Input-Output Life Cycle Assessment”, The journal of Energy and Environmental sciences, 2016.
- Onat, N.C., Kucukvar, M., Toufani, P. and Haider, M.A., Carbon Footprint Analysis of Electric Taxis in Istanbul, proceedings of the international conference on industrial engineering and operations management 2017.
- Design of Supply Chain at Amreli steels limited and the study of the Supply Chain Operation Reference Model (SCOR, 2013- NED University Undergrad final project
© 2015 Curriculum Vitae All Rights Reseverd | Design by W3layouts