<a href="https://news.google.com/rss/articles/CBMiUWh0dHBzOi8vZmluYW5jZS55YWhvby5jb20vbmV3cy9leC10d2l0dGVyLWVtcGxveWVlcy1ob3JyaWZpZWQtZWxvbi0xNjA1MTIzNTQuaHRtbNIBWWh0dHBzOi8vZmluYW5jZS55YWhvby5jb20vYW1waHRtbC9uZXdzL2V4LXR3aXR0ZXItZW1wbG95ZWVzLWhvcnJpZmllZC1lbG9uLTE2MDUxMjM1NC5odG1s?oc=5" target="_blank">Ex-Twitter employees are horrified by Elon Musk reinstating Donald Trump’s account: ‘Incredibly upsetting’</a>&nbsp;&nbsp;<font color="#6f6f6f">Yahoo Finance</font>

Ex-Twitter employees are horrified by Elon Musk reinstating Donald Trump’s account: ‘Incredibly upsetting’ - Yahoo Finance

<a href="https://news.google.com/rss/articles/CBMia2h0dHBzOi8vd3d3LnVzYXRvZGF5LmNvbS9zdG9yeS90ZWNoLzIwMjIvMTEvMTUvZWxvbi1tdXNrLWN1dHMtdHdpdHRlci1jb250ZW50LW1vZGVyYXRpb24tc3RhZmYvMTA3MDY3MzIwMDIv0gEA?oc=5" target="_blank">Elon Musk fires more twitter staff, cuts content moderation contractors</a>&nbsp;&nbsp;<font color="#6f6f6f">USA TODAY</font>

Elon Musk fires more twitter staff, cuts content moderation contractors - USA TODAY

National University

Southern Methodist University

Walden University

San Francisco State University

Senior Data Scientist/Analyst

Lecturer

Technology Partners

Chief Data Scientist

Skills: Higher Education Teaching · Mathematical Modeling · Classroom Instruction · Python (Programming Language)

San Jose State University

Senior Data Scientist

University of Wisconsin-Madison

Data Science Instructor

University of Nevada-Las Vegas

•	Worked with content moderation team to analyze trends and solutions to violations of twitter rules using SQL and Python
•	Modeled NLP algorithms to monitor election misinformation
•	Analyzed suspension, appeals, and election misinformation using SQL (Big Query) and Data Studio
•	Designed A/B tests to measure impact of new products using Python
•	Designed experiments using Python for feature engineering for Twitter Civic Integrity team.
•	Migrated data tables from Zeppelin (Vertica) to Big Query (SQL) and visuals from Tableau to Data Studio
•	Used Python Notebooks to analyze user experimental behavior

Twitter

•	Developed multi-armed bandit models for customer offers using Python. 
•	Oversaw client data from QA to Reporting Implemented QA checks on expected outcomes
•	Used Tableau, and Looker for advanced data visualization including bar charts, line charts, Pareto charts, tree graphs and others.
•	Developed dashboards for data visualization purposes
•	Spearheaded feature engineering project using Random Forests, to improve product offering.
•	Used Databricks, Athena, and DBeaver to analyze complex SQL queries.
•	Performed analysis using random forest models for feature selection
•	Used PySpark to query and develop data for analysis Set up data pipelines using Amazon AWS
•	Migrated data between platforms for analysis

Formation

•	Generated machine learning models using Logistic Regression, Spline Regression, Naïve Bayes, Support Vector Machine, Neural Network, Decision Tree, Boosted Model, and Random Forest models to visualize customer data
•	Leveraged Machine Learning, Gradient Boosting and Bayesian statistical modeling to develop a Twitter data scraping tool, to track company sentiment analysis in social media – used Pandas,Torch, and Flair NLP and Tensorflow Python packages.
•	Used artificial intelligence to develop a time series analysis, based on past data to forecast the future state of customer acquisition costs.
•	Developed recommender engines to 1) Identify optimum mission completion for gamification, 2) Drive rewards store utilization across client sites.
•	Utilized Tableau for data visualization to provide customer dashboards, and Alteryx to perform ETL.
•	Developed complex SQL queries, using multiple joins, common table expressions, and aggregate functions
•	Prepared data visualizations using Tableau for client presentations for prospective, new, and established clients demonstrating capabilities of reporting.
•	Generated periodic reports demonstrating client usage patterns to monitor engagement.
•	Traveled to client sites to present and introduce effective data strategies. Acted as data liaison during client onboarding

Bunchball

•	Programmed spreadsheet for enterprise-wide distribution with data validation and error checking.
•	Insured data entered was clean and usable for importing into other systems.
•	Worked with business units to ensure product was simple for enterprise-wide use, but powerful enough to prevent errors.
•	Acted as Excel Expert in performing index matching, vlookups, pivot tables, and graphs.

Gilead Sciences

Excel VBA Programmer

•	Acted as principal business analyst, gathering requirements from different units to develop business requirement documents and manage project lifecycle
•	Managed Product Lifecycle
•	Implemented a data warehouse using Oracle BI to manage and share information between several different municipal
•	agencies.
•	Managed data migration from mainframe to cloud based systems.
•	Responsible for data coordination between and within departments.
•	Analyzed taxpayer, assessment, and license data to generate reports to management.

City and County of San Francisco

Senior Data Analyst

Analyzed mortgage backed securities.
Utilized SQL to perform QA and QC checks.
Performed ETL from several sources and databases.
Automated processes from ETL to analysis.

CoreLogic

•	Analyzed data in MS Excel for optimization and data modeling
•	Utilized Vlookups, pivot tables, slicers, and VBA programming to provide dashboard
•	Determined optimum revenue for bidding process using user input.
•	Utilized advanced Excel modeling to maximum bid.

Granite Construction

Data Modeler

•	Performed complex predictive analytics to improve USCG maintenance using ETL and MS Access.
•	Utilized statistical and trend analysis to view data anomalies in ship functioning using MS Access and MS Excel.
•	Analyzed instrument data to improve maintenance and repair fleet wide by utilizing pivot tables and macros.
•	Performed QA on reports using statistical analysis, reasonability testing and trend analysis using MS Excel statistical package.
•	Analysis improved overall fleet readiness by detecting errors in thrust before system shutdown.

Insight Technology Solutions

Data Analyst

•	Prepared statistical data reports to support reporting of customer data to regulatory agencies using MS SQL Server with multiple complex joins (inner, outer, left, right and full), case statements, and aggregate functions.
•	Developed data tracking tool in Excel using standard deviation and other relevant statistical models to determine if daily reports were out of balance, which resulted in faster analysis and reliable reporting of errors.
•	Led the development and implementation of reporting tools for motorcycle insurance, a major new product in the company portfolio. 
•	Drove QA on reports using statistical analysis, reasonability testing and trend analysis to validate models and reporting reliability using ETL, MS SQL, MS Excel VBA, macros, Vlookup and other tools.
•	Led the development of business requirement documents to support the launch of new products.

Esurance

Reporting Data Analyst

•	Provided detailed research using on major chemical producers to insure accuracy and currency of location, contact, and production data in order to stay competitive, and benchmark against competitors.
•	Managed large datasets using advanced MS Excel functionality to perform analysis on production outputs and provide an accurate picture of the competitive landscape.
•	Provided extensive research using MS Access on the international chemical industry landscape with specific focus on India, Western Europe, Mexico, and Canada.  Research used to drive decisions on mergers and acquisitions.

Melissa Ingle