As a Data Analyst/ Scientist with over 2 years of experience, I'm passionate about transforming raw data into meaningful insights that drive business growth.My experties lies in data cleaning, statistical analysis, and visualization using tools like Tableau, Power BI, Excel, QuickSight(AWS) and as well as Python (with libraries like Pandas, NumPy, and Matplotlib), and AWS DataBrick. I enjoyed finding patterns and trends that help stakeholders make informed decisions.With strong proficiency in SQL, Python, and Spark, I've worked on a wide range of projects from data profiling and integration to creating dashboards that summarize complex data into easy-to-understand visuals, I'm highly detail-oriented and excel in translationg business needs into actionable data strategies.I also have experience working with machine learning algorithms for predictive analysis and data modeling.I play a pivotal role in shaping those insights. With a robust background in computer engineering and my Diploma certificate in Data Science, I bridge the gap between complex data analysis and practical application.Plus my nearly two years as a Teaching Assistant at WeCloudData allowed me to deepen my expertise in data science, particularly in Python, statistical analysis, and machine learning. Teaching and mentoring students sharpened my skills and kept me engaged with the latest tools and techniques, giving me a strong foundation in data analysis and problem-solving.I believe that good analysis is about more than numbers-it's about telling a story with data. and I'm always wxcited to bring that skillset to new challenges, helping teams make data-driven decisions for improve performance and efficiency.
