Career Profile
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4 year of experience in executing data-driven solutions to increase efficiency, accuracy and utility of internal data processing.
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3+ years of experience in strategizing, interpreting and effectively analyzing an assort data attributes in streamlining the insight conversion process through leveraging various data languages such as R and Python.
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Experienced at creating data regression models using predictive data modeling and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems.
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Exceptional ability to identify data attributes based on business needs, simultaneously being able to extract and manipulate large sets of raw data from multiple platforms to derive for meaningful insights.
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Results oriented with a team-player frame of mind, providing support from a data analytical aspect in achieving goals that align with the holistic organizational mission.
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Seeks for a constant state of self-improvement for professional development, to maintain an inclusive mentality from a proficiency standpoint by proactively learning techniques for data analysis.
Education
- Laboratory in Statistical Design and Analysis
- Categorical Data Analysis
- Mathematical Foundations of Biostatistics
- Introduction to Statistical Methods for Clinical Trials
- Applied Machine Learning for Health Data
- Introduction to Public Health
- Honourable Mention Best Statistical Analysis at DataFest@UofT 2022
- cGPA: 3.63/4.0 (High Distinction)
- Dean’s List in 2022
- Dean’s List in 2021
- Dean’s List in 2020
- Methods for Multivariate Data (GPA 4.0/4.0)
- Time Series Analysis (GPA 4.0/4.0)
- Data Analysis II (GPA 4.0/4.0)
- Probability I (GPA 4.0/4.0)
- Methods of Data Analysis I (GPA 4.0/4.0)
- Probability and Statistics I (GPA 3.7/4.0)
- STAT Reasoning (GPA 3.7/4.0)
- Survey Sam & Obs Data (GPA 3.7/4.0)
- Introduction to Real Analysis (GPA 4.0/4.0)
- Linear Algebra II (GPA 4.0/4.0)
- Calculus Sci II (GPA 4.0/4.0)
- Abstract Mathematics (GPA 4.0/4.0)
- Groups and Symmetries (GPA 4.0/4.0)
- Ordinary Diff Equat (GPA 4.0/4.0)
- Complex Variables (GPA 3.7/4.0)
Experiences
- Conducted in-depth analysis of longitudinal serological profiles using linear mixed effects models.
- Applied quantile regression to identify distinct groups of serological profiles among COVID-19 patients.
- Actively collaborated with geneticists, clinicians, and other researchers to incorporate host and virus genetics into the modeling process.
- Explored and Collected information on 17,444 enterprises that operates in 17 industries such as automobile and fuel cells, through web crawler, cold call and other means. Using R, Excel(vookup, pivot table, VBA) screened companies according to the demand of the marketing department.
- Analyzed 100+ semiconductor industry reports, performed a 74-page overviews and further investigated the most profitable sub-field in the industry and its correlation with simulation.
- Visualized the project through Excel and Tableau and clarified 8,848 priority target customer companies to marketing department.
- Conducted research on market size, value chain, competitive environment of 30+ interested industries and present reports.
- Discovered and analyzed trends from collected 1000+ qualitative data to assess the potential sales of services.
- Provided statistics support to make strategies which doubled the amount of read and retweet on promotion of social media.
- Collected students’ information to make teaching plans for the IELTS Program.
- Delivered prepared lessons, exerciser, examination to students including listening, speaking, reading and writing.
- Developed and executed marketing strategies based on evolving market needs back with statistical information sourced through analytical initiatives.
- Coordinated with internal and external stakeholders on an international scale to effectively carry out marketing initiatives with demonstrated success in achieving set KPIs.
- Provided analytical findings by identifying key data attributes and converting data to insights for growth and scaling opportunities.