A Data Science graduate with expertise in data analysis, machine learning, and cloud computing. Passionate about transforming raw data into meaningful insights and building predictive models to drive data-driven decision-making.
View My ProjectsLearn more about my experience, skills, and expertise in data science and technology.
I am a Data Science graduate with a strong background in Data Analysis, Machine Learning, Cloud Computing, and Data Engineering. With hands-on experience in analyzing large datasets, implementing predictive models, and developing data pipelines, I strive to extract meaningful insights and drive decision-making.
I have worked on real-world projects in finance, housing price prediction, and business intelligence, using Python, SQL, and Tableau. I also have experience working with AWS cloud services (EC2, S3, RDS) for real-time data processing.
I actively share my knowledge on LinkedIn, work on open-source projects, and keep learning to stay updated with industry trends. I'm currently looking for exciting job opportunities where I can apply my technical skills and business acumen to solve challenging data problems.
Contact MeGraduate Research Analyst
Jan 2023 - Dec 2024
Senior Systems Engineer
Mar 2021 - Dec 2022
Applied advanced data mining techniques to predict housing prices by identifying significant predictors such as area, number of bedrooms, and location. Built a Multiple Linear Regression model, conducted data preprocessing, and created visualizations to analyze property features and housing prices.
View on GitHubDeveloped interactive Tableau visualizations to analyze and present global trends in data science job salaries. Conducted a detailed analysis based on experience levels, job roles, and geographic regions, enabling a deeper understanding of hiring trends in the data science field.
View on GitHubConducted an in-depth analysis of video game sales data to uncover trends across regions, platforms, genres, and publishers. Designed and developed interactive Tableau dashboards to highlight key insights, showcasing sales patterns and regional preferences, facilitating data-driven decisions in the gaming industry.
View on GitHubPerformed an exploratory data analysis of NYC taxi trip data to identify patterns in trip durations, distances, and fares. Processed and cleaned large datasets using Python and Pandas and developed visualizations to effectively communicate insights about taxi usage and fare trends.
View on GitHubFeel free to contact me using the form below.