Shaheen Syed Email & Phone Number

Trondheim, Trøndelag, Norway

• Expertise in anomaly detection using 2D autoencoders for fiber optical data (DAS, DTS)
• Experience implementing CI/CD pipelines for efficient model development and deployment
• Proficient in using Azure ML Studio for machine learning model development and deployment.
• Knowledge of MLOps principles and best practices for managing the end-to-end machine learning lifecycle.
• Member of the Equinor Responsible AI core team

Tromsø, Troms Og Finnmark, Norway

• Proven experience in developing and publishing novel algorithms in reputable journals for the analysis of physical activity using raw accelerometer data
• Adjunct research position at the Department of Computer Science, with a focus on the application of machine learning techniques to analyze complex data sets
• Supervising PhD students in the field of machine learning and data analysis, providing guidance and mentorship in the development of research projects and theses.

Tromsø, Troms Og Finnmark, Norway

• Proven expertise in designing and implementing machine learning and deep learning models for the analysis of complex tri-axial accelerometer and ECG data, resulting in open source repositories and several published.
• Senior engineer position at the Department for Computer Science

Tromsø, Troms Og Finnmark, Norway

• Implemented custom LinkNet models with DenseNet encoders to effectively perform semantic segmentation and object detection of parasites in white fish using hyperspectral imaging data.
• Successfully optimized preprocessing, inference, and post-processing to meet strict industrial latency requirements.
• Conducted extensive research on the utilization of class activation maps for weakly supervised semantic segmentation of t2-weighted MRI data, and published work in respected journals.
• Led research efforts in the application of deep learning for classification and segmentation of MRI data, resulting in several publications in respected journals.

Manchester, England, United Kingdom

• Research utilizing natural language processing (NLP) and machine learning (ML) techniques to uncover patterns, trends, latent topics, social networks and clusters from textual data, specifically scientific research.
• Project funded by the European Union Horizon2020 - Marie Curie - European Training Network
• Research into: semantic lexicon bootstrapping, topic models, latent Dirichlet allocation, Bayesian priors, author-topic models, coherence scores, social network analysis, sentiment analysis, web scraping.

Tromsø, Troms Og Finnmark, Norway

• Developing a web crawler to automatically collect, parse, classify, centralize, and synthesize news articles related to food fraud incident reports by utilizing machine learning and natural language processing.
• Experience with: Scikit-Learn, TensorFlow, Machine Learning, Python, Django, MongoDB, Ubuntu, Google Developer APIs, web scraping.
• Project-based contract (EU Horizon2020)

Rotterdam, South Holland, Netherlands

• Data migration (ETL) of 1.5 million customers from SAP to Dynamics AX for Dutch energy company.
• Creating software to automatically calculate NAFTA duty reductions for highly complex chemical substances.
• Automating REACH and GHS regulatory compliance for US Fortune 500 company.
• Converting single client web applications to Software as a Service.
• Programming:.NET, ASP.NET, C#, VB.NET, Perl, HTML5, CSS3, JavaScript,JQuery.
• Data: SQL, T-SQL, PL-SQL, XML, SQL Server, Oracle, DB2, Excel, VBA, SAP.

Utrecht, Netherlands

• As part of my master thesis, and in collaboration with dr. Slinger Jansen, we developed a regression formula that is able to predict open source project failure with 70% accuracy. We adopted the method from E. Altman.
• Experience with: Social Network Analysis, SPSS, Graph Theory, Regression, Data mining, R, Open Source.

Utrecht, Netherlands

• Elected and paid position with a workload of 10 hours a week.
• Representing students in bi-weekly department meetings.
• Meetings with full professors and members of the (beta) Faculty
• Optimizing the curriculum within the management team.

Utrecht, Netherlands

• Assistant for the course ’Scientific Research Methods’ followed by both bachelor and master students.
• Guiding and helping students with statistics, methods, projects and workshops.

Rotterdam, South Holland, Netherlands

• Specialized in all software and hardware related repairs of mobile phones, tablets, laptops and other electronic devices.
• Experience with software flashing, EEprom programming, BGA repairs, SMD rework.

Doctor Of Philosophy - Phd, Computer Science

EU Horizon 2020 Marie Skłodowska-Curie fellowship. Dissertation: Topic Discovery from Textual Data: Machine Learning and Natural Language.

Master Of Science (M.Sc.), Business Informatics

Cum Laude, GPA 4.0/4.0

Bachelor Of Science (B.Sc.), Computer Science

Awarded best student propaedeutic phase