I am a data analyst transitioning from a strong Physics background into analytics, with practical training from the Big Blue Data Analytics Bootcamp. I focus on turning raw information into clear, actionable insights that support better business decisions.
I have hands-on experience working with high-volume, accuracy-critical operational data in reservations, invoicing, and financial reporting. In my recent roles, I managed transactional data, improved reporting accuracy, and helped streamline internal processes.
I am comfortable working with Python, SQL, Advanced Excel, Power BI, and Tableau. I also have experience with exploratory data analysis, dashboards, data cleaning, and statistical analysis.
My project work includes pricing analysis, Airbnb market analysis, and product analysis, where I used data to identify trends, evaluate business opportunities, and build interactive dashboards. These projects strengthened my ability to communicate insights clearly and support data-driven decision-making.
I bring a problem-solving mindset, attention to detail, and a strong ability to adapt to new tools and workflows. My background in Physics helps me approach complex problems logically and analytically.
I am now looking to grow as a Junior Data Analyst and apply my technical skills, analytical thinking, and business understanding to meaningful data challenges.
280 hours of hands-on training in data analytics, including Git, command line, Python for Data Science, exploratory data analysis with Pandas, interactive dashboards with Dash and Power BI, SQL, MongoDB, APIs, web scraping, and business communication.
Managed and analyzed high-volume transactional data across multiple platforms, maintained 98% data accuracy, ensured compliance in financial reporting, used Advanced Excel for internal analysis, identified process inefficiencies, improved efficiency by 15%, and supported revenue and cost estimation analysis.
Handled 50+ reservations monthly, supported daily operations, ensured accurate data processing and timely customer confirmations, managed initial invoice processing, and maintained organized data flow between internal systems and customers.
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