Analyst
Summary
I am a seasoned data professional with 3 years of expertise in quantitative analysis and a proven track record of delivering impactful insights through data-driven methodologies to drive strategic decision-making and mitigate risks effectively.
In my most recent recent role as a Data Analyst, I led the development and maintenance of predictive models in R for power plants. This significantly improved load forecasting accuracy from 96% to 99.3%, directly influencing our failure analysis and risk assessment simulations. In collaboration cross-functionally with the engineering and quality assurance teams, I developed the skills to deeply analyze the end-to-end data process in various markets, preprocess complex datasets, discover patterns, and drive implementation changes based on analytical findings.
My previous experience as a Compliance Analyst allowed me to collaborate with clients personally to effectively address key business problems, particularly during the challenging beginning of the pandemic. Here, I applied my coding experience in Python to automate several risk assessments for key compliance and fraud risks, contributing to a proactive compliance framework. I then mitigated them through applicable controls, including high-risk profile monitoring, playing a crucial role in providing the clients stable success with my action plans and periodic audits. A prior internship in the Corporate Accounting department let me focus on cost efficiency through systematic statistical analysis, particularly with yearly balance sheets.
My educational background includes a BS in Mathematics-Economics and a postgraduate degree in Data Science, and my notable skills include Python, R, SQL, MS Office, Tableau, Hadoop, Airflow, and Spark, with demonstrated abilities in ETL Design, risk assessment, and data interpretation to address complex business problems.
With a personal work philosophy focused on continuous learning, collaboration, and success, I am confident in my ability to exceed expectations.
Expectations
I am eager to contribute my technical skills and passion for innovation in data to your organization. I am interested in the tech landscape, whether it is a social media company & evolving as how we understand user & employee engagement broadens, or ensuring company success within AI, ML, renewable energy, or consulting fields.
Employment Preferences
Expected Base Salary
**,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- R
- SQL
- Tableau
- HTML
- CSS
- C++
- Linux
- ETL Design
- Management
- Advanced MS Office
- Power BI
- Data
- Feature Engineering
- Model Monitoring
- Open-Source ML Libraries
- Flask
- FastAPI Design
- Apache Spark
- Hadoop
- Hive
- Airflow
- Predictive Modeling
- Statistical Modeling
- Exploratory Data Analysis
- EDA
- Maintaining Data Dashboards
- Data Interpretation
- Data Visualization
- Problem-Solving
- Hypothesis Testing
- Time Series Analysis
- Reliability Statistics
- Risk Assessment
- Experiment Design
- Interpersonal
- Business Correspondence
- Project Leadership
- Cross-functional Collaboration
- Business
- Intelligence
- Industry Metric Reports
- Regulatory Understanding
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