Data Analyst
Resume:
Ayesha Raza
Data Scientist
CONTACT SUMMARY
*+ years of successful experience in the IT field and comfortable working in an agile and collaborative environment. Worked on several projects related to Statistical models, regression analysis, by using Artificial Intelligence tools along with Python, R, and SQL. Proven ability to identify, retrieve, and manipulate multiple structured and unstructured data sets. Looking to leverage my knowledge and experience into a role as a Data Scientist. ******.********@*****.***
Eldersburg, MD * Willing to Relocate
linkedin.com/in/ayesha-raza
SKILLS
Hard Skills
R, SQL, Python, Java,
HTML/CSS, Tableau,
Anaconda, Open Refine,
Google Colab, Kaggle
Data Cleaning
Data Analysis
Data Visualization
Machine Learning Algorithms
Statistical Modeling
IT Service Desk Technician & Student Lead (Supervisor) 08/2018 – Present Division of IT: University of Maryland, College Park, MD
§ Supervise Tier 1 technical support though training and mentoring, schedules, and evaluate Tier 1 technicians.
§ Assist customers seeking technical assistance over the phone, email, or live chat.
§ Perform remote troubleshooting through diagnostic techniques and pertinent questions.
§ Use a ticketing system to track and route problems and requests and create detailed work logs and technical documentation.
§ Support our web-based applications, escalating potential application defects or other technical issues requiring urgent attention.
§ Provide timely, efficient and professional follow up to user questions or issues. Cyber-Security Intern 01/2017 – 02/2017
Howard Community College, Columbia, MD
§ Created a Network template for a theoretical small business to use as a reference in future to protect their network against broader range of malicious threats.
§ Drafted Acceptable Use Policy (AUP)
§ Researched and created a report related to security clearance and cleaning up social profiles for individuals looking for a job in the Government sector.
Assistant Director & Camp Counselor for Google igniteCS 12/2016 – 07/2017 Howard Community College, Columbia, MD
§ Taught middle school girls about software and coding, robotics, Raspberry Pi Technology, and 3D printing.
§ Coached them in coding and built meme and sites with coding.
§ Taught them different computer languages: such as Java, HTML, CSS etc. Teaching Assistant and Cyber-Lab Assistant 08/2016 – 12/2016 Howard Community College, Columbia, MD
§ Designed an effective Network Designer for Howardcc SAT building
§ Coached students in their labs related to computer courses. Assisted the faculty and students as needed related to computer lab technology and software applications
§ Worked in team environment to build Networking PODs Math Tutor 08/2015 – 05/2017
Howard Community College, Columbia, MD
§ Assisted students individually and in small groups in targeted areas.
§ Provided supplemental assignments to ascertain level of understanding. BS in Information Science:
Data Science 2020
University of Maryland, College Park
Honors: Magna Cum Laude (GPA: 3.76)
AA in Network Security 2016
Howard Community College, Columbia
Honors: Summa Cum Laude (GPA: 4.0)
EXPERIENCE
s
CERTIFICATION &
AWARDS
Scrum Master: MD, 2020
Phi Theta Kappa Honor Society 2015-Present
The Society of Leadership &
Achievement 2018-Present
Academic Honors consecutive quarters
Dean’s List consecutive quarters
EDUCATION
Ayesha Raza
DATA SCIENCE SKILLS
Data Wrangling
Data Intuition
Data Manipulation
Decision Analytics
Probability/Statistician
Data-Driven Personalization
Predictive Analysis
Model Development
Quantitative Analysis
Machine Learning Models
APIs
Indexing
Database Architecture
Relational Database
Stored Procedures
Query optimization
Supervised Learning: Classification
Implemented and compared the performance of supervised machine algorithms
§ Performed Exploratory Data Analysis (EDA), Data cleaning, Data transformations, and Data modeling in Python using Adult Census Income dataset on Kaggle
§ Designed and implemented supervised algorithms: Logistic Regression, Decision Tree Classification with a display of tree with tree.plot_tree, XGBoost with a display of feature importance, Neural Network (Keras & Pytorch) to predict Adult Census Income
§ Addressed overfitting and underfitting by tuning the hyperparameter of the machine learning algorithms
§ Experimented with Ensemble methods to improve the stability and accuracy of the training model with different Bagging and Boosting methods.
§ Determined trends and relationships in data and used various machine learning models to accurately predict if a person earns a yearly income greater than or less than $50K
Database Design and Modeling
Developed both theoretical and practical knowledge of relational database systems
§ Incorporated four aspects of database design work: logical design, physical design, sample data, and sample queries
§ Diagnosed database performance issues, created reporting index strategies, and improved database design based on SQL execution
§ Created ERD that was an accurate and up-to-date representation of the final structure of the database
§ Performed reverse engineering of physical data models from databases and SQL scripts
§ Performed Tuning and Query Optimization using MySQL server
§ Written SQL statements to perform CRUD operations, and executed stored procedures in MySQL server
§ Created report of critical evaluation of the database itself and the process through which it was built
Data-Driven Visual Story using Tableau
Created an interactive visual medium that conveyed a specific story based on data using visual communication methods: visualizations, animations, and text.
§ Developed Tableau data visualization using Cross tabs, Heat maps, Box and Whisker charts, Scatter Plots, Geographic Map, Bar Chart, and Density Chart, etc.
§ Analyzed the project needs, interpreted user requirements, and translated them into reports.
§ Built, published, customized interactive reports and dashboards, report scheduling using Tableau server.
§ Experience in dashboards designing with large data volumes from various data sources (sqlserver, teradat, etc).
§ Created graphs by using measure and dimensions data from various databases by using the Data Blending concept.
Hypothesis Testing in R
Used prescriptive and descriptive analysis to reach defensible, data-driven conclusions using appropriate statistical methods.
§ Performed data mining, data cleaning, testing, and variance analysis to explore the insights, and explored data visualization techniques on a variety of data stored in spreadsheets and text files using R
§ Conducted exploratory analysis with scatter plot, box plot, and histogram.
§ Built statistical models to test hypotheses and derive estimates about a population.
§ Conducted multivariate statistical analysis and plotted data graphics, using R packages such as ggplot2.
§ Estimated models using statistical methods such as one-sample T-test, Chi-square goodness-of-fit, and one-way ANOVA, etc.
§ Designed experimental and non-experimental research, correlational research, and cause-and-effect research.
§ Used qualitative and quantitative research techniques: hypothesis development, literature review, sampling strategy, research measurement, examination of validity and reliability.
§ Developed statistical analysis using regression models, ANOVA, ANCOVA, analysis of residuals and variability. Performed model selection and scatterplot smoothing in R
NumPy
SciPy
Scikit-learn
Pandas
Matplotlib
TensorFlow
Keras
PyTorch
Matlab
XGBoost
Seaborn
Plotly
pydot
PROJECTS
RELEVANT COURSES
Decision-Making for Information Science
Dynamic Web Applications
Database Design and Modeling
Data Science Techniques
Data Sources and Manipulation
Statistics for Information Science
Object-Oriented Programming for
Information Science
User-Centered Design
Data Visualization
Integrative Capstone
TOOLS SKILLS
LANGUAGES
English - Fluent
Urdu/Hindi - Native
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