📍 Mississauga, Ontario, Canada
🎓 BSc (Hons) Computer Science — Algoma University
I'm a Computer Science graduate and Research Assistant focused on data analytics.
I work with real-world datasets using Python, Pandas, SQL, and Excel to clean and validate data, investigate inconsistencies, analyze results, and turn messy information into clear, reproducible insights.
My research experience has given me hands-on exposure to data cleaning, exploratory analysis, data validation, comparative analysis, and research reporting.
I'm currently strengthening my analytics skills and building business-focused projects using SQL, Excel, Python, and data visualization.
Research Assistant · Algoma University
May 2025 — Present
Research project analyzing how Automatic Speech Recognition systems perform when compared with human judgments.
My work includes:
- Cleaning and validating human annotation datasets
- Analyzing experimental results using Python and Pandas
- Investigating missing data, inconsistencies, and unexpected results
- Comparing evaluation metrics across speech recognition systems
- Analyzing patterns in human preference data
- Building reproducible data-processing and analysis workflows
- Supporting result verification and research documentation
Tools: Python · Pandas · Data Analysis · Data Cleaning · Data Validation · Git/GitHub
Interactive Power BI dashboard analyzing 650 synthetic Canadian sales orders across revenue, profitability, product performance, regional performance, customer segments, and delivery operations.
Power BI · Power Query · DAX · Excel · Data Visualization
- Cleaned and transformed structured sales data using Power Query
- Built KPI measures for revenue, profit, margin, order volume, and on-time delivery
- Analyzed monthly revenue trends and regional/product performance
- Added interactive filters for region, product category, customer segment, and date
- Created a business-focused dashboard for sales and operations reporting
Analysis of highly imbalanced credit-card transaction data to investigate fraud patterns and compare predictive approaches.
Python · Pandas · NumPy · scikit-learn
- Prepared and explored transaction data
- Investigated class imbalance and fraud distribution
- Compared Logistic Regression and Random Forest models
- Evaluated results using precision, recall, F1-score, and ROC-AUC
- Built a reproducible analysis and evaluation workflow
Python-based analysis tool for comparing Automatic Speech Recognition outputs against reference transcripts.
Python · Data Analysis · Speech Recognition
- Processes reference and generated transcripts
- Calculates Word Error Rate (WER)
- Structures results for comparison and analysis
- Supports reproducible evaluation workflows
Business Intelligence & Visualization
Power BI Power Query DAX Excel Data Visualization Dashboard Development
Data Analysis
SQL Python Pandas NumPy
Analytics
Data Cleaning Data Validation Exploratory Data Analysis Statistical Analysis KPI Analysis
Tools
Jupyter Notebook Git GitHub VS Code CSV JSON
Additional Technical Experience
Machine Learning scikit-learn NLP ASR Evaluation
My focus is becoming a strong Data Analyst who can take a dataset from raw information to useful business insight.
I'm currently developing deeper skills in:
- SQL
- Excel
- Python and Pandas
- Data visualization
- Dashboard development
- Business and KPI analysis
I'm interested in opportunities including Data Analyst, Junior Data Analyst, Reporting Analyst, Business Intelligence Analyst, and Operations Analyst roles.