I am a research and data analytics professional with a strong background in economics, quantitative research, and higher education. As a university lecturer in Mathematical Economics, Economic Statistics, Data Analytics, and Econometrics, International Business and Trade, Health Economics, Monetary Economics, and Project Development Management, I have developed advanced skills in data research, data validation, statistical analysis, and evidence-based decision-making.
My experience involves working with large datasets, conducting detailed research, identifying patterns, maintaining data accuracy, and transforming complex information into organized and actionable insights. I am proficient in Microsoft Excel, Google Sheets, Python, R, and other analytical tools used for data management, reporting, and research.
As a Latin Honors (Magna Cum Laude) graduate and Best Thesis Awardee, I have a proven track record of delivering high-quality, detail-oriented work under demanding academic and professional environments. My analytical mindset, attention to detail, and commitment to accuracy enable me to efficiently support tasks involving property research, lead list building, market research, CRM management, data cleaning, and database organization.
I bring a research-driven approach to every project and am committed to helping real estate investors and businesses make informed decisions through reliable data, organized systems, and thorough analysis.
Experience: 1 - 2 years
I specialize in data analytics, statistical analysis, and evidence-based decision-making. My academic and professional background in Economics has provided me with extensive experience working with datasets, identifying trends, conducting quantitative analysis, and generating meaningful insights from data. As a university lecturer teaching Economic Statistics, Data Analytics, Mathematical Economics, and Econometrics, I regularly work with statistical tools and analytical frameworks to evaluate data and support informed decision-making. I am proficient in Microsoft Excel, Google Sheets, Python, R, and statistical methodologies used for data cleaning, exploratory analysis, forecasting, regression analysis, and performance evaluation. Key Skills: • Data Analytics • Statistical Analysis • Data Cleaning • Data Visualization • Excel & Google Sheets • Python • R Programming • Quantitative Research Strengths: • Strong quantitative reasoning • Data-driven problem solving • Accuracy and precision • Ability to transform complex data into actionable insights
Experience: 1 - 2 years
I am an Economics professional with extensive experience in investment research, economic analysis, and quantitative research across academic and data-driven projects. I am skilled in gathering information from multiple sources, evaluating trends and opportunities, verifying data accuracy, and transforming complex information into organized and actionable insights. As a university lecturer in Mathematical Economics, Economic Statistics, Data Analytics, and Econometrics, I regularly work with quantitative methods and analytical tools to assess data, identify patterns, and communicate findings effectively. This experience has strengthened my ability to approach research systematically while maintaining high standards of accuracy, reliability, and attention to detail. Key Skills: • Investment Research • Market & Economic Research • Data Validation & Verification • Quantitative Research • Database Management • Data Cleaning • Report Writing • Information Organization Strengths: • Strong analytical and critical thinking skills • High attention to detail • Excellent research and information management • Data-driven decision making • Ability to work independently and meet deadlines
“I have found someone who is smart, has a great work ethic and is easy to work with.”
Sara Brumfield
SEE MORE REAL RESULTSOnlinejobs.ph "ID Proof" indicates if "they are who they say they are".
It DOES NOT indicate skill level.
ID Proof scores are 0 - 99 with 99 being the best. It is calculated based on dozens of data points.
It's intended to help employers know who they're talking to is real, and not a fake identity.