Data Science/Analytics trainer Resume

OBJECTIVE

A position in data analytics where I can utilize my educational background, more than 5 years’ experience, communication skills, and analytical solving skills to contribute to the organization

TECHNICAL SKILLS

MS Office Suite, MS Visio, MS SharePoint, SAP financials, Tableau, EazyBi, PostgreSQL, MySQL, SQL, NoSQL, SQLITE, SPSS, Essbase, Quickbooks, Minitab, Linear programing, ETL, PYTHON, Flask, HTML, R, Javascript, D3.js, Plotly.js, Text mining, Hadoop, AWS and Internet
MS Azure ML, Python data science stack (Numpy, Pandas, Scikit, Matplotlib, etc.), A/B hypothesis testing, feature engineering and selection, dimensionality reduction, linear regression and regression classification algorithms, Naïve bayes models, prescriptive analytics, and expert knowledge of most common machine learning algorithms (KNN, SVM, logistic regression, decision trees, ensemble models, clustering, etc.)
VBA, Solver, macros and formatting, Palisade’s StatTools, @RISK, PrecisionTree, pivot tables to manipulate and analyze data

PROFESSIONAL EXPERIENCE

Data Science/Analytics trainer

Confidential

Responsibilities:

Host online video sessions on topics of my expertise: python, sql, statistics, etc
Review student checkpoints submissions and deliver written feedback, including on projects and portfolios
Meet with students 1 - on-1 in an online video session to provide technical and professional support as the student progresses through the curriculum.

Business Analyst

Confidential

Responsibilities:

Act as a liaison between client area and technical organization by planning, conducting, and directing the analysis of complex business problems to be solved with automated systems
Provide technical assistance in identifying, evaluating, and developing systems and procedures that are cost effective and meet business requirements
Work with user groups to provide training, resolve questions, assess user needs, and recommend changes
Prepare specifications for system changes
Develop systems test plan components and test scripts
Provided data warehouse analytics using sql server and sql scripts
Assisted with ETL processes

Senior Analyst

Confidential

Responsibilities:

Prepared monthly internal management reports
Reviewed quarterly and annual financial information prepared by Senior Analysts provided cash flow analytics for the reporting unit performed account analysis and statistical analysis on various products implemented and administer accounting systems in a variety of functional areas to produce appropriate management reports analyzed financial metrics in Microsoft Excel and SAP created dashboards and models on securitized products for the FPA team with multidimensional databases

Accounting Analyst

Confidential

Responsibilities:

Procurement Financial Analyst

Confidential

Responsibilities:

Worked as a member of the Corporate analytics team by conducting analyses on spend data, business intelligence, designing modeling templates and analyzing data
Studied the world economic supply markets related to industry manufacturing products and make predictions about exchange rates on the present financial condition
Performed Data mining and cleansing for large amounts of data across all procurement categories and financial systems (oracle and jde)
Provided a critical level of support on general and special projects, inventory, financial analysis, problem resolution and other business/financial analysis related needs that affect Procurement
Designed and present analytical models and supporting documentation to senior management
Managed saving multiple schedules and track monthly savings for sourced initiatives
Queried relevant spend data using SQL

Database Analyst

Confidential

Responsibilities:

Responsible for the development and administration of analytical data constructs/structures
Translated information into meaningful analysis using SQL within MS ACCESS and MS SharePoint (certified SharePoint administrator at McKesson)
Visualized and maintained current organizational metrics and workforce data
Managed, manipulated, and analyzed data in Microsoft Excel
Effectively communicated the analysis and conclusions