Social Media Data Analyst

SHAZIA MARIAM

+1-773-***-**** • **************@*****.*** • LinkedIn: https://www.linkedin.com/in/shaziamariam/ • Mountain View, CA

OBJECTIVE:

Analytical and numerate MIS graduate with 2 years’ experience as a data analyst for businesses, fluency in machine learning algorithms/techniques, relational databases and statistics.

EDUCATION:

Master of Science in Management Information Systems, University of Illinois at Chicago (GPA: 3.5) August ’18 – May ‘20

Bachelor of Electronics and Communication Engineering, C.M.R. Institute of Technology August ’13 – May ‘17

TECHNICAL SKILLS:

Languages & Databases: Python, R, C, C++, Java, HTML 5, XML, NoSQL, MySQL, SQL Server

Statistical and Visualization Tools: R Studio, SciPy, Tableau, Visual Studio, Jupyter Notebook, MS Excel, SPSS, RapidMiner, Google Analytics, Seaborn, Matplotlib, ggplot

Packages: TensorFlow, PyTorch, Keras, Numpy

Algorithms: Multinomial Regression, Decision Trees (Random Forests), Clustering (KNN, K-Means), Classification (Naïve Bayes, SVM), Unsupervised learning (PCA), Neural Networks (CNN, RNN)

Management: Project Management, Leadership, Vendor Management, Technical Consulting

EXPERIENCE:

Data Analyst, Department of Technology and Building Systems, University of Illinois at Chicago May ’19 – May ‘20

Studied UIC Facilities Management (FM) datasets, and developed methods to measure productivity and efficiency among facilities staff. Established the KPIs and data elements necessary to calculate those metrics

Performed extensive data analysis, predictive modeling and visualizations to derive actionable insights from the work orders data and identify trends and predictions for the next year resulting in an improved efficiency of FM staff by a forecasted 30-40%

Data Science Project Intern, Ontoadaptive, LLC, Chicago, IL August ‘19 – December ’19

Developed an application (Snobird v5) that connects long distance caregivers with patients leveraging AI/NLP techniques to analyze text message data and classify relevant health information about the patient’s health

Served as team lead for Capstone project leveraging AI and data science concepts and Google Cloud Platform (GCP) technologies - CNN, RNN, LSTM, TensorFlow 2.0, Keras, Python 3, Numpy, Pandas, Flask, Plotly

Graduate Assistant, Office of the Campus Architect, University of Illinois at Chicago January ’19 – August ‘19

Designed and created a SharePoint website for the Office of Campus Learning Environments (OCLE) to facilitate project documents archiving which increased office space by 50%

Built customized lists and libraries for over 185 architectural and renovation projects across two UIC campuses enabling the office to go paperless

Conducted student surveys with a Likert scale questionnaire and generated constructive reports on SurveyMonkey and Zoomerang which could be translated into visualizations to monitor student satisfaction and identify areas of improvement

Customized metadata using a navigation tree which assisted the management with easy content access from huge libraries

IT Support Intern, SNIS International School, Bangalore, India October ‘17 – January ‘18

Assisted in trouble shooting hardware issues, updated and managed the student database and mailing lists

Utilized multiple forms of communication to expedite filings, reports, spreadsheets, and special projects

ACADEMIC PROJECTS:

Exploratory Data Analysis and Visualization: Analyzing Delays in SkyWest Airlines [Tableau, R] January ‘20 – May ‘20

Retrieved SkyWest Airlines data for the year 2018 from the BTS website and concatenated and cleaned the data using R

Reviewed appropriate metrics to visualize the performance analysis in 15+ interactive workbooks and dashboards

Performed comparative analysis of SkyWest airlines with competitor airlines like United for different measures like causes of delay with numerous factors – average delay is highest because of late aircraft

Classification in Healthcare: Detection of Heart disease in patients [Python, Pandas, Numpy, Scikit-learn] January ’19 – March ‘19

Worked on Hospital Data to detect Heart Disease in a given patient

Tasks include Univariate Analysis of Variables, Bivariate Analysis of Variables, Missing Value Handling, Data Cleaning, Data Wrangling, Data Analysis, Predictive Modelling over the Dataset

AirBorne Vision Services, LLC [R] January ’19 – May ‘19

Developed a social media strategy for AVS by conducting detailed competitor research including customers and suppliers

Studied competitors’ social media activity on LinkedIn and Twitter and implemented Twitter scraping using R to obtain a bag-of-words for Search Engine Optimization

Cloud-based database project team management application [C#, AWS, MySQL] August ‘19 – December ‘19

Designed a cloud-based database project team management application using AWS

Built a webpage GUI for the cloud-based app allowing users to insert, modify and query the database

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