PWC POWER BI DATA ANALYSIS PROJECT
Explore my PWC Virtual Internship where I showcased data visualization proficiency via Power BI dashboards, responding adeptly to client needs with polished solutions. Exhibited strong communication skills in concise, informative email correspondence with stakeholders, offering actionable insights. Utilized analytical problem-solving to dissect HR data, pinpointing gender-related KPIs and uncovering root causes for executive gender balance issues, emphasizing a dedication to data-driven decisions.
Explore my Tableau Sales Insights project, where SQL was employed to meticulously clean and prepare the data. Delve into visually rich dashboards revealing actionable sales trends and patterns, showcasing a fusion of analytical rigor and visualization finesse.
Explore my real estate price prediction project, where I employ advanced analytical techniques to forecast property prices accurately. By analyzing historical data and key market indicators, I develop machine learning models that offer valuable insights for buyers, sellers, and investors in the dynamic real estate market.
During my KPMG data analytics Virtual Internship, I focused on advising a client on customer targeting strategies with the Data Analytics & Modelling team. I meticulously assessed data quality and completeness to ensure accurate analysis. By leveraging demographic and attribute data, I identified high-value customer segments. Additionally, I created visually engaging dashboards to effectively communicate our findings.
Welcome to the HR Attrition Analysis Dashboard, a powerful tool designed to provide insights into employee turnover within our organization. This project aims to help HR professionals and decision-makers understand the factors contributing to attrition and take proactive steps to mitigate it.
Engaged in a British Airways Data Science Virtual Internship on Forage, delving into the integral role of data science in driving British Airways' success. Leveraged data scraping and analysis techniques to unveil insights from customer review data. Developed a predictive model to decipher the factors shaping purchasing behaviors, showcasing proficiency in data-driven decision-making.
Welcome to my diabetes prediction project! Here, I utilize machine learning techniques and exploratory data analysis to forecast the probability of diabetes in individuals. By examining a range of health parameters and demographic factors, I aim to unveil insights into the complex interplay between different features and the likelihood of diabetes.