Data Analyst

Whilmina Dsouza

****************@*****.*** 240-***-**** Hyattsville, MD linkedin.com/whilmina/ github.com/WhilminaD EDUCATION

University of Maryland, College Park, MD May 2021

Master’s in Information Science (Data Science) 3.8/4 GPA

• Related Courses: Big Data Infrastructure, Machine Learning in Python, Artificial Intelligence, Data Science, Data Analytics The University of Mumbai, Mumbai, India May 2017

Bachelor’s in Engineering, Information Technology 7.4/10 GPA

• Related Courses: Advanced Database Management Systems, Big Data Analytics, Data Mining, and Business Intelligence SKILLS

• Programming Languages: Python (sci-kit-learn, NumPy, pandas, matplotlib, seaborn), R, Java, C#, JavaScript

• Databases: SQL, MySQL

• Software: Jupyter Notebook, R Studio, Tableau, Microsoft Excel, QGIS

• Big Data & Machine Learning: Spark, Hadoop, NoSQL, Google Cloud, ETL, Linux

• Data Science & Miscellaneous Technologies: Data science pipeline (data cleaning, data wrangling, visualization, data modeling, interpretation), Statistics, T-Test, Chi-Squared Test, APIs, XML, JSON, Git

• Web Technologies: HTML, CSS, ReactJS, Drupal

PROFESSIONAL EXPERIENCE

Data Analyst – Graduate Assistant (Part-time) Aug 2020 – Current University of Maryland, College Park, United States

• Built a tableau dashboard that presented a detailed view of admissions trends and provided key insights to the program director to better enhance the recruiting process, resulting in a 10% rise in enrollment

• Managed and maintained a database application to ensure a high level of day-to-day reliability and availability of data to staff and coordinated the needs for modification and enhancement Data Science Intern (Remote) Jul 2020 – Aug 2020

Ovalz, College Park, United States

• Created and implemented machine learning techniques using python to assist small business retail sellers to know the store’s in- stock items, overstock and, out of stock items and grow profitability by 30%

• Conducted customer interviews, build predictive modeling to boost customer satisfaction by 60%

• Reported insights along with recommending marketing strategies and machine learning frameworks based on the analysis to senior management using Tableau

Data Analyst Intern (Remote) Jun 2020

Montgomery Coalition for Adult English Literacy (MCAEL), Rockville, United States

• Created an interactive dashboard in Tableau for the budgetary team and developed key business operations strategies

• Executed data integration, data cleaning on up to 24 complex datasets and designed macros to improve efficiency by 75%

• Analyzed data to drive insights on managerial action and strategy using Microsoft Excel (Pivot tables, VLOOKUP) and tableau Software Engineer Data Technology Jul 2017 – Jul 2019 Philips, Mumbai, India

• Designed, implemented, and maintained data infrastructure for healthcare software applications

• Optimized all the Stored procedures and SQL functions to enhance performance by up to 20% and reduce the server load

• Managed and performed Scrum ceremonies including stand up, retrospect, and sprint planning

• Reviewed pull requests of interns to maintain a high-quality codebase and increase performance by 25%

• Implemented health care mobile applications using Xamarin where over 90% C# code is shared between the two platforms PROJECTS

Snowflake data warehouse Bozzuto Capstone: Python, ETL, Snowflake Jan 2021 – May 2021

• Integrated real estate data from external sources into the snowflake data warehouse and automated the ETL process to help Bozzuto make strategic and tactical decisions

• Developed a script in Python to pull data from external APIs and created data transformation and validation rules Profit Prediction on Store Data: Python (SckitLearn, Seaborn)- Jupyter Notebook Aug 2020

• Implemented regression, random forest models, and time series analysis to predict store sales and profit

• Performed visualization and exploratory data analysis using python Predictive Analysis on Airbnb Data: R, Tableau, Python Feb 2020 – May 2020

• Lead a team of 4 to collect, analyze and visualize the Airbnb dataset to predict price, customer rating, and property rate

• Developed various machine learning models using machine learning libraries (Numpy, Scikit-Learn, Keras, Pandas, Matplotlib) NSF Boston 311 Analysis: R, Tableau, Python Oct 2019 – Jan 2020

• Analyzed and visualized the Boston 311 dataset and unstructured data to understand local information inequity in cities, discrepancies in people’s access to technological infrastructures to help design better civic technologies

• Performed web scrapping on Reditt.com in Python and analyzed 500 plus posts using python, visualized data using Tableau

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