Proactive Data Analyst with 2+ years of Relative product management experience in small start-up business environments. Effective driver of product development lifecycle from concept to delivery. Communicative and collaborative with proven history of improving business operations to support corporate growth and revenue.
Data Science Job market Eda – Personal Project – London, UK November 2023
● Utilized Python to analyze 7000 data science job listings and gain insights on what it takes to land a job in analytics.
● Implemented Regex techniques to comb through the job descriptions and identified the key requirements.
● Aggregated and visualized the data by using pandas, matplotlib and word cloud to compile a professional report.
Revitalizing Revenue and Regaining Market Dominance –Virtual Client’s Project–London, UK September 2023
● Created a dashboard with Power Bi to help client make strategic decisions, boost revenue, and reclaim a leading position in the competitive hospitality industry.
● Transformed and processed client’s data by using DAX and Excel to ensure data completeness and validity.
● Provided technical insights on how the client can fully utilize their data by introducing different technologies.
● Consulted with client to determine the best metrics to be displayed on final product.
sentiment analysis on tweets – Personal Project – London, UK December 2019
● Utilized R Studio to perform sentiment analysis on 14,000 tweeter reviews of six major airlines.
● Performed data cleaning and text analysis to successfully identified the major complaints for each airline.
● Applied regression and machine learning to produce a final model with an accuracy of 88% and lift of 34%
U.S. Pollution Analysis – Personal Project – London, UK September 2022
● Analyzed and visualized U.S. air pollution data using Power BI, covering pollutants such as CO, O3, SO2, and NO2.
● Transformed and filtered data by using aggregating and filtering function to improve reporting process.
● Loaded and visualized data with Python to identify key business intelligences to provide actionable insights into pollution trends.
● Implemented dynamic features, including slicers,maps,tables,charts and filters for user interaction.
● Utilized Power BI's capabilities for data modeling, DAX expressions, and dashboard design.