As a Data Analyst, I specialize in transforming raw data into meaningful insights that empower decision-makers and drive business success. With a strong foundation in Python, SQL, Power BI, Excel, and data visualization tools like Tableau, I help organizations understand trends, discover patterns, and make data-backed decisions with confidence.
I have hands-on experience working with large-scale datasets, having successfully analyzed over 1 million records across diverse domains such as sales, entertainment, retail, and digital platforms. My data projects include designing interactive dashboards, conducting exploratory data analysis, and developing actionable strategies through statistical modeling and forecasting.
One of my key strengths is data cleaning and preprocessing, ensuring that the information used for analysis is reliable and accurate. I use Python libraries like Pandas, NumPy, and Scikit-Learn to automate repetitive tasks and extract value from complex data sources. My SQL skills allow me to query, join, and aggregate data efficiently across multiple databases, which is essential for operational and strategic reporting.
Using tools like Power BI and Excel, I build dynamic reports and dashboards that present data in a clear, compelling format. These visualizations help stakeholders quickly identify key metrics, monitor performance, and respond to market changes in real time.
In addition to technical expertise, I bring strong problem-solving skills, attention to detail, and a commitment to delivering high-quality work. I’ve completed simulated internships with Deloitte and PwC, where I practiced real-world business analysis, and I hold certifications in data analytics from recognized platforms.
Whether it’s uncovering insights in customer behavior, streamlining internal operations, or supporting business intelligence teams, I am dedicated to making data understandable, usable, and impactful. I aim to contribute meaningfully to any organization by bridging the gap between raw data and informed decision-making.