Hosna Hamdieh

Canada 613-***-**** adwylr@r.postjobfree.com linkedin.com/in/hosna-hamdieh PROFESSIONAL SUMMARY

Creative and solution-oriented Sr. Data Scientist/ ML Engineer with ten years of proven results, optimizing time and resources. Master graduate of Applied Business Analytics from Carleton University with innovative solid problem- solving skills, critical thinking, global mindset, effective communication, and presentation skills, experienced in both start-ups and large accomplished corporations. Skilled Python developer ready to build solutions for real problems, automating data process pipelines.

TECHNICAL SKILLS

Python, Microsoft Office, Fast API, Azure and AWS cloud services, MATLAB, C++, Orange, Tableau, GIT Machine Learning (ML), Natural Language Processing (NLP), Predictive and transformer-based models (BERT), supervised deep learning Model testing, feature engineering and evaluation Data pipeline automation SQL / NoSQL Database design and structure Solution design and development Data Analysis, Visualization, Interpretation and presentation Desktop and Web based BI tool development Project Management Web scraping WORK SAMPLE

Profile LinkedIn Page: linkedin.com/company/i4data YouTube: Demo of personal projects / youtube.com/@hosnahamdieh2813 Web applications: NLP app i4data-nlp.streamlit.app, Email automation app i4data-e.streamlit.app Desktop applications: Social Topic Modeling GUI, Job finder GUI, IT security GUI EMPLOYMENT HISTORY

Senior Data Scientist

I4Data (Personal Space), Ottawa, Canada [Sep 2020 – April 2023] I try to solve real problems using my coding skills and data science knowledge. I have worked on several projects and have developed web and desktop applications so that users could freely explore data and create insight. I also share information about ML, NLP and data analysis in I4Data LinkedIn page for those interested in learning more about AI.

Senior Machin Learning Engineer

Talent, Montreal, Canada [Dec 2022 – March 2023]

To improve the search results and show relevant results, NLP models were studied, fine tunned, tested with real data and a new process was designed and developed to look for best matching, using occupational sources (NOC / ONET), having labelled clusters, the new approach increased the result’s accuracy from 50% to 90%. Created Endpoint for the models and deployed the selected model into production in AWS. Amazon SageMaker was used to work and collaborate with other team members and to facilitate communication, reports were published on Confluence, (Model details, performance and evaluations). Designed, built, evaluated and deployed robust, scalable, and production-ready ML models. Applied engineering best practices for Test Driven Development, integration testing, version control, Continuous Integration and deployment.

Data Scientist (NLP)

Airudi Inc, Montreal, Canada [Oct 2021 – Dec 2022] To improve the Recommendation system, a new process (Filtering and Ranking Algorithm) was designed and developed, increasing the result’s accuracy from 30% to 80%. The new process included a preselection step

(filtering) and a selection step (selecting highly ranked matches after scoring). Developed a text parser to extract features from plain text, using NLP-based models (language models) and occupational sources, to add more features to the selection process making it more flexible and user friendly, while returning better predictions and recommendations.

Developed An interactive Model Testing interface (BI) to test and fine tune the process (feature engineering), using API for web services (Fast API) Automated the data pipeline in more than 5 projects on Azure Virtual Machines

(data extraction, preprocessing, processing, and reporting) having logging system Designed and structured cloud- based databases (Azure table services (NoSQL) and SQL servers) Information Security Analyst

ITS department, Carleton University, Ottawa, Canada [Sep 2020 – May 2021] Designed and developed more than 4 desktop applications for the IT security team, using Python System Security monitoring, analysis, assessment automation and reporting Website design and content making using CompTIA Security concepts Explored Elastic cloud for feasibility study and plausible implementation System Security analysis, assessment and documentation using data. Team lead / Data Scientist

Shirin Institute [Mar 2017 – Dec 2019]

Solution design and development from concept to completion Data extraction, preprocessing, analysis, visualization, interpretation and visualization of data analysis to prepare actionable guidelines for managers Making communicational plans Risk analysis and contingency planning Client expectation management Market research using SAS Process Optimization Applied supervised ML models on numerical data, understanding and predicting trends for feasibility studies Administrated Model tuning and feature engineering Project Manager / Business analyst

Fajr e Tosea [Sep 2015 – Mar 2017]

Conducted Feasibility study Time and Cost analysis Project documentation and report generation Risk analysis and Change management Presented in the stakeholder’s meetings, keeping them up to date while managing their expectations Performed cause and effect analysis to reduce redundancies, leading to Strategic Planning and processes optimization, reducing costs by 2%

Data Analyst

Shirin Institute [Mar 2013 – Sep 2015]

Data extraction, preprocessing, analysis, visualization, interpretation and visualization of data analysis to prepare actionable guidelines for managers Market research using SAS Applied supervised ML models on numerical data, understanding and predicting trends for feasibility studies Administrated Model tuning and feature engineering. Voluntary Projects

Technical Volunteer (BCSF) [July-Sep 2021] / Data Analysis instructor (Shirin Institute) [2016 –2020] EDUCATION

Master of Applied Business Analytics, Carleton University, Ottawa, ON [Jan 2020 – May 2021] Project: Automated social topic modelling process by developing an all-in-one BI tool using Python and NLP concepts to extract insight from social data. The developed desktop app could do everything from data extraction to report generation.

Master of Industrial Engineering, Sharif University, Tehran, Iran [Feb 2011 – Jan 2013] Thesis: Designed and developed a Project selection method for portfolios to optimize profit using Operational Research (OR)

Bachelor of Mining Engineering, Tehran University, Tehran, Iran [Sep 2005 – Aug 2010] Final project: Market research, feasibility study, applied supervised ML models on numerical data to predict future trends.

CERTIFICATES

C++, Machine Learning (ML), Git, Data Scientist, Python, Cyber Security, Data manipulation, Data analysis with Pandas, Data Visualization with Python, BI dashboards with Tableau, Web Scrapping, Differential Calculus, SQL, Text Generation, Language Parsing, Text preprocessing, NLP with Python, NLP, Regular Expression, WES

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