ISHMAEL AMIN

Northwestern University, Master’s in Data Science Online Candidate

MSDS Candidate - Graduate Student

• Master’s thesis project analyzes sentiment misclassification as part of predicting stock price fluctuation by applying Naïve Bayes algorithm, LSTM, MLP, artificial intelligence deep learning, machine learning, sentiment analysis, and NLP news analytics. Develop Python corpus application that scrapes unstructured news articles.

• Extract and store lexical, sentiment, and machine learning features into JSON, and SQLite database. Build models using Python 3.6, Keras, TensorFlow, TextBlob, NLTK, spaCy, Scikit-Learn (sklearn) and Gensim.

• Create models and processes to collect, distill and interpret data. Data used to predict benign and malignant based on University of California Irvine, Breast Cancer Wisconsin (Diagnostic) structured dataset. Apply Random Forest, Support Vector Machines, Logistic Regression, and Neural Network to discover best predictive models using R.

• Predict price of real estate in Ames Iowa based on physical characteristics of the homes, socio-economics, and geographic data. Perform exploratory data analysis (EDA) on structured dataset, and utilize Multivariate Ordinary Least Squares Regression Analysis, indicator variables, and coded in SAS Studio, RStudio, and Python: cleaning, transforming, and aggregating data.

• Design aesthetically pleasing data visualizations using GGPlot, Tableau, and Matplotlib. Predict optimal marketing campaign strategy to maximize profit for non-profit organization: applied Machine Learning such as SVM, Random Forest Classifiers using R.

• Demonstrate predictive accuracy of over 5 logistic regression models scoring within 3% of actual average wine cases sold using RMSE to compare model performance.

• Explore predictability of abalone age from physical measurements as opposed to the time consuming process of counting growth rings. Perform an exploratory data analysis (EDA) and calculated statistical inferences using multivariate regression, and R.

• On career sabbatical to complete master's thesis. Part-time graduate school experience overlaps with consulting positions held at US Bank (Kforce) and the City of New Orleans (Strategic Staffing Solutions).

US Bank (Kforce, Project)

Tableau Consultant

DATA VISUALIZATION CONSULTANT ROLE
• Advised senior executives in risk management at US Bank Corporate Office in the creation of regulatory compliance data quality business intelligence scorecard reports and Tableau data visualization dashboards for 3 enterprise business units.

• Lead Tableau developer in designing, building, testing, and publishing of multiple paged Tableau dashboards that allow users to gain a summary global enterprise level view of millions of US Bank customer data, and to drill down to the detailed level.

• Created Tableau sankey data visualizations and hierarchical charts by creating sigmoid functions, and applying data densification techniques.

• Navigated between tables using Tableau Action Filters, left outer joins, and right outer joins, union, sub queries: IBM DB2 backend RDBMS, SQuirrel SQL interface.

• Performed EDA using Tableau and R to gain data insight.

• Communicated daily and provide weekly progress reports that inform client of accomplishments, challenges, obstacles, issues, new goals, and overall health of the 3 projects.

City of New Orleans (Strategic Staffing Solutions, Project)

IT Consultant

• Recommended technologies that were adopted into winning Rockefeller Foundation National Disaster Resilience Competition grant of $141.3 million to the City of New Orleans

• Collaborated with city leaders in developing the strategic vision of city resilience that incorporates data-driven, evidence-based decision-making whose data was gathered from smarter city, Internet of Things (IoT), and Predictive Analytics methodologies.

• Developed City of New Orleans Mayor’s dashboard using Tableau software. Dashboard presented 911 and 311 data so that city leadership could quickly grasp trends in call response times within various NOPD districts, and city departments. Tableau dashboard life cycle development required data wrangling and data cleansing using the Python Pandas library. Tableau reports utilized data supplied by Socrata data warehouse.

• Optimized performance of existing R script by integrating algorithm into Microsoft Azure Machine Learning. Code written by third-party that utilized ESRI ArcGIS Shapefiles to reduce the call response times of emergency medical services vehicles.

• Facilitated the transformation of the city into an organization that differentiates and competes on evidenced based predictive analytics.

• Experimented with Hadoop to build enterprise data warehouse prototypes using MS Azure that promoted city resilience for New Orleans.

Moby Interactive Media (Freelance)

Self-Employed, Projects

TECHNOLOGY BUSINESS STRATEGIST ROLE
• Strategized optimal marketing techniques to increase brand awareness through data analysis.

• Established baseline cost estimates to fund computer-testing center.

• Managed client relationships. Gathered website requirements from stakeholders, defined project scope.

• Negotiated and reviewed contracts.

County of Santa Barbara

Programmer Analyst

BI/DATA SCIENTIST ROLE
• Revealed areas of improvement within the enterprise system by conducting customer satisfaction surveys.

• Defined and developed BI data models, star, snowflake topologies, KPIs and reports that effectively monitored inter-department customer satisfaction.

• Revealed areas of improvement within the enterprise system by conducting customer satisfaction surveys. Performed data analysis and articulated survey findings to management. Applied data driven Total Quality Management methodology - 80/20 rule to discover root causes.

• Cultivated effective professional relationships between inter-departmental stakeholders and IT staff.

SOFTWARE ENGINEER ROLE
• Reduced time required to process general ledger monthly and quarterly billing cycles by 99%, reduced from weeks to minutes. Designed, developed and implemented validation DLLs to interface between asset management database and the County of Santa Barbara accounting department general ledger. Technology used in Microsoft Access and SQL Server, ETL, SSIS and custom DLLs, C#, VB.NET, and ASP.Net web services.

Senior Data Scientist