Hiba Lydia Alili
Data Scientist
Vancouver,British Columbia
Summary
I am an accomplished Strategic Data Scientist who works with global companies such as PwC, KPMG and Opscidia. My area of expertise is in lifting datasets with over 120 million records utilizing data engineering, NLP, machine learning, or even building complete frameworks that provide solutions for the most intricate problems. My prior work pertains to construction of semantic search models alongside ontology frameworks which enable easier data retrieval for multidisciplinary academic research. Additionally, I’m working towards a new frontier of knowledge in blockchain and smart contract analytics where I can combine AI with finance and use innovation to transform existing paradigms.
Overview
7
7
years of professional experience
5
5
Languages
Work History
Junior Financial Advisor (part-time)
WSB
Vancouver, British Columbia
03.2025 - Current
- Assisted clients with basic financial planning: life insurance, retirement savings (RRSP, TFSA), and budgeting strategies.
- Educated individuals and families on personal finance fundamentals as part of the "Saving Your Future" campaign.
- Delivered financial literacy presentations and workshops in group and one-on-one settings.
- Supported team growth by recruiting and mentoring new associates in building their own agencies.
- Applied duplication strategies to help scale a sustainable business model.
- Collaborated with WFG to provide compliant and tailored financial solutions based on clients’ goals and needs.
Data Scientist Intern
Opscidia
Paris
11.2020 - 01.2022
- Trained and evaluated embedding models on large-scale scientific datasets, resulting in a 30% improvement in model accuracy for semantic search and ontology alignment.
- Implemented batch training strategies to process high-volume datasets efficiently, significantly reducing memory usage and enabling model convergence on the full corpus.
- Engineered unsupervised ML pipelines using K-means clustering to improve data categorization and enhance ontology structures.
- Built end-to-end NLP workflows with SpaCy for preprocessing and Gensim, Scikit-learn, TensorFlow for model development.
- Developed visual analytics dashboards using R Shiny to communicate insights with stakeholders and research teams.
- Participated in Agile ceremonies (stand-ups, retrospectives, demos) and contributed to team velocity through peer code reviews and continuous integration practices.
- Implemented stratified batch training with randomized shuffling and distributed processing to efficiently train embedding models on large datasets, improving convergence speed and ensuring balanced representation across training iterations.
Financial Analyst Intern
KPMG
Algiers
03.2019 - 08.2019
- Automated financial data validation and reporting workflows using Python (Pandas and NumPy), reducing manual processing time by 30%.
- Conducted exploratory data analysis on client financials to detect irregularities and improve audit accuracy.
- Built Python scripts to generate visual summaries and KPI dashboards for leadership review.
- Enhanced Excel-based models with Python-backed automation, ensuring timely report delivery across multiple audits.
- Processed and analyzed large-scale financial datasets (millions of rows) using Python and SQL, identifying anomalies and patterns that informed strategic recommendations.
- Built visual dashboards with Plotly and Seaborn to monitor audit KPIs in near-real-time.
- Adopted CI/CD principles by integrating code into version control (Git) and testing data pipelines prior to deployment.
- Collaborated with auditors and finance teams to translate technical insights into actionable recommendations.
Tax Analyst Intern
PwC
Algiers
03.2018 - 08.2018
- Developed automated tax compliance scripts using Python, improving accuracy and reducing manual intervention across filing cycles.
- Leveraged Python and ETL techniques to ingest, clean, and transform tax datasets from multiple systems.
- Created modular tax calculators using functions and testing frameworks to ensure repeatability and scalability across clients.
- Utilized Python-based scheduling tools (e.g., cron + scripts) to automate daily compliance checks and report generation.
Education
Bachelor of Science - Computer And Information Sciences
Simplon/Microsoft
Paris, France 05.2001 -
Associate of Science - Applied Data Science
Jedha Bootcamp
Paris, France 05.2001 -
Master of Science - Banking & Finance
University of Lille 2
Lille, France 05.2001 -
Bachelor of Science - ACCOUNTING AND FINANCE
University of Algiers 3
Algiers, Algeria 05.2001 -
Skills
Feature engineering
Git version control
Data preprocessing
Natural language processing
Pytorch
Machine Learning
Docker
MySQL
PostgreSQL
Solidity
Data Engineering
Investment Analysis
Financial Analysis
Blockchain
R
Python
Pytorch
Microsoft Azure Data Platform
Docker
PySpark
Pycharm
Plotly
Timeline
Junior Financial Advisor (part-time)
WSB
03.2025 - Current
Data Scientist Intern
Opscidia
11.2020 - 01.2022
Financial Analyst Intern
KPMG
03.2019 - 08.2019
Tax Analyst Intern
PwC
03.2018 - 08.2018
Bachelor of Science - Computer And Information Sciences
Simplon/Microsoft
05.2001 -
Associate of Science - Applied Data Science
Jedha Bootcamp
05.2001 -
Master of Science - Banking & Finance
University of Lille 2
05.2001 -
Bachelor of Science - ACCOUNTING AND FINANCE
University of Algiers 3
05.2001 -