I am a data scientist with a deep understanding of statistical modeling, machine learning, and advanced analytics. My passion lies in transforming data into actionable insights and driving innovation through data-driven decision-making.
-Machine Learning & AI: Skilled in building and deploying machine learning models, from regression analysis to deep learning, to solve complex business problems.
-Data Wrangling & Analysis: Proficient in cleaning, transforming, and analyzing large datasets using tools like Python, R, and SQL, ensuring high-quality data for accurate predictions.
-Statistical Modeling: Expertise in applying statistical methods and predictive modeling techniques to extract insights, forecast trends, and drive strategic decisions.
-Big Data Technologies: Experience working with big data tools and platforms like Hadoop, Spark, and cloud-based systems for large-scale data processing.
-Visualization & Reporting: Adept at visualizing data using tools such as Python (Matplotlib, Seaborn), Tableau, and Looker to present findings in a clear and actionable format for both technical and non-technical audiences.
I’m driven by curiosity and the need to solve real-world problems through data. My goal is to help organizations harness the power of their data, uncover patterns, and create data-driven solutions that drive performance and growth.
