Innovative and scientifically rigorous graduate with significant data science internship experience to bring to the table. With a team-oriented attitude, I'm eager to contribute my abilities in quantitative modeling and experimentation to enhance the Energetically leveraged Excel functions and Python programming at Accenture and Crash Data, enhancing data accuracy and road safety. Specialized in data cleaning, visualization, and analysis, contributing to a 40% decrease in fatal road accidents. Demonstrated teamwork and innovative problem-solving, embodying data-driven decision-making with a comprehensive skill set in SQL databases and statistical analysis.
Crash Data is the leading company that gathers data from a vehicle's sensor before, during, and after a crash. The data is then used to improve road safety.
Gathered data from 4,000+ cars that were involved in road accidents using Python, Mahout, Hive.
Performed data cleaning and preprocessing using Excel functions such as VLOOKUP and SUMIF, enhancing data accuracy and reliability for analysis.
Built data models in Excel to support forecasting and trend analysis, providing insights that helped guide business strategy.
Created automated reports in Excel, leveraging formulas and pivot tables to streamline data visualization and reporting processes.
Collaborated with the team to interpret data findings and develop actionable insights, contributing to data-driven decision making.
Integrated data from multiple sources using Excel, ensuring a comprehensive view of business performance metrics.
Excel Functions
Data Cleaning
SQL Databases
Python Programming
R Programming
Exploratory Data analysis (EDA)
Decision trees
Web mining
Data Visualization
Supervised Learning
Unsupervised Learning
Statistical Analysis
Heart Disease prediction using Machine Learning algorithm
Jan 2024 – May 2024
•Developed a predictive model using machine learning algorithms to accurately classify the risk of heart disease based on patient data, achieving a predicted accuracy of nearly 80%. Performed data pre-processing and feature engineering on medical datasets, including handling missing values and scaling features, improved model performance, and ensured robust predictions.
Uber Data Analytics Sep 2023 – Dec 2023 •Analyzed Uber trip data to identify key trends and patterns in ride demand, peak hours, and popular pickup/drop-off locations, for providing actionable insights for operational improvements. Utilized SQL and Excel for data extraction, cleaning, and visualization, and developed interactive dashboards that illustrated trip metrics, driver performance, and customer behavior.
Self Initiated Work Experience at Rhino Crash West (Tom Howard Crash Repairs)Self Initiated Work Experience at Rhino Crash West (Tom Howard Crash Repairs)
Network Convergence Advisor at NTT Data Services (Formerly Dell Services)Network Convergence Advisor at NTT Data Services (Formerly Dell Services)
Environmental Program Manager (EPM) at Amazon Web Services (AWS), Amazon Data Services, Inc.Environmental Program Manager (EPM) at Amazon Web Services (AWS), Amazon Data Services, Inc.
Night / Weekend Warehouse Supervisor at Eileen FisherNight / Weekend Warehouse Supervisor at Eileen Fisher
Driver at UberDriver at Uber