Data Microsoft Office

Abdourahmane Bah

**** **** ***, ***********, ** *0710 Mobile: 202-***-****

*********@*****.***

OBJECTIVE

To work in a collaborative environment where I can apply my Qualitative and Quantitative Analysis skills to provide predictive modeling, data mining, data management, data visualization using different tools like SAS Enterprise Miner, SQL, Python, Tableau, Machines Learning, R, Watson Analytics, and many more to become a distinctive asset to clients and significantly contribute in resolving programmatic challenges.

EDUCATION

University of Maryland University College College Park, MD

Master’s Degree, Data Analytics Sep 2016- Jul 2018

Prince Georges Community College Largo, MD

English as a Second Language Jan 2006- March 2010

University of Kankan Kankan, Guinea

Master’s Degree- Physics Oct 1996 - June 1998

Authentication Reference Number: 2759859 World Education Services- U.S

U.S. Equivalency: Bachelor’s Degree October 26th, 2015

Bachelor of Science in Mathematics Physics Dec 1994 - June 1996

(See World Education Services Transcript)

PROFESSIONAL TRAINING

Decision Management Systems; manage data analytics projects to ensure delivery of a successful data analytics initiative throughout its life cycle. Manage the quality, security, and privacy of data relevant to an organization to enhance its value.

Advanced to micro-computing

Proficiency with Power Business Intelligence (BI) to analyze and visualize data, MS Office and Intermediate Excel skill (VLOOKUP and Pivot tables)

Microsoft Windows, Word 2010, Excel 2010, Access 2010, and PowerPoint (See transcripts)

dbase III Plus Programming

CORE COMPETENCIES

MS in a technical field

Quantitative, Analytical and Statistical Skills

Predictive modeling technique: linear regression, logistic regression, Super Vector Machine, and ensemble models using SAS Enterprise Miner

Data mining models and algorithms for regression using R

Data visualization and management using Python and SQL Scripts

Retrieving Data, presenting Dashboard using Watson Analytics

Statistical computing and numerical analysis methods

Forecasting, Storytelling, Creating Dashboard using Tableau software, Time series, risk analysis

Data Analysis & Gathering Techniques

Performance Analysis and Quality Control

Microsoft Word, Excel, PowerPoint, Access, Power Business Intelligence, and SharePoint

SUMMARY OF QUALIFICATIONS

Possession of excellent data gathering, analytical, and problem-solving skills

High level of organization and attention to detail, ability to summarize/interpret complex analyses, strong deductive reasoning skills, and ability to maintain detailed documentation of data management and programming work.

Ability to show flexibility and innovation in dealing with ambiguous, fast-paced situations, as well superior clients/stakeholders interface skills.

Demonstrated project reporting.

Experienced with qualitative and quantitative tools, data collection & analysis, management information systems.

Written and oral communication skills in English, French, and reading ability in Spanish, and the ability to effectively collaborate, in a team environment.

Detail-oriented, self-starter with the ability to interact with technical and program management professionals as well as senior management.

Strong capability with Microsoft Office including, Excel, and Microsoft PowerPoint.

Adept to mastering new software applications.

RELATED EXPERIENCE

DHL Logistics Express Washington, DC 20018

Financial Analyst December 2016 - Present

Developed analysis and presents recommendations to senior management regarding financial and/or operational performance on such issues as productivity, operational statistics, cost trends, and revenue trends

Use analytics tools, such as Tableau, Power BI, and Excel for analyzing, visualizing, and summarizing the findings.

Analyze cost and rate changes variance, business impact, and evaluated data for corporate projects/initiatives utilizing statistical and computer modeling techniques

Use analytics tools, such as data mining R to test and train data for visualization

Developed and maintained decision and analysis models.

Analyzing and a strong aptitude and interest in data visualization

Use analytics tools, such as Python, and SQL Script.

ADDITIONAL EXPERIENCE

Apogee Trucking LLC Beltsville, MD 20705

Business Analyst January 2016 – November 2016

Assist customers with analyzing complex data sets, and developing prototypes and production systems to help find trends and patterns in data, present results in meaningful visualizations and assist customers in understanding their data and information needs.

Technique useful: machine learning, Writing short Scripts in SQL, data mining R, Python

Performed detailed revenue projections using statistical models such as regression and sensitivity models

Conducted monthly forecast calculations and reviews, to monitor and ensure that spending is within the company’s targets.

Provided Data analysis which includes working with large pools of data and manipulating information to perform analysis for management.

Performed multivariate analyses (e.g., linear, and logistic regression), data manipulation, prevalence comparisons, smoothing techniques, exploratory and descriptive analyses, correlation coefficients, weighting, etc.

Value City Furniture New Carrollton, MD 20784

Credit Analyst September 2013 – January 2016

Managed and coordinated data collection from customers

Established client accounts on reporting system.

Reconciled return information collected from multiple sources.

Maintained data feeds into and out of client reporting system.

Prepared management level reports analyzing data extracted from performance system including client, manager, and returns information.

Using Power Business Intelligence (BI), PowerPoint, Excel, and SharePoint

Filene’s Basement Washington, DC

Sales Associates January 2009- August 2013

Efficiently interacted and skillfully communicated with varied kinds of clients or customers to easily crack certain deals

Assisted the domestic and international clients for easily locating their products or merchandise Performed various duties of international shipping of sales support literature and handled the orders of the international shipments

Supervised telephonic calls, conveyed messages, and monitored the important retail sales emails

Looked after the proper data entry, and efficiently directed the staff members to carry out the specified work procedure

STATUS: US Citizen

INTERESTS/ ACTIVITIES

Reading, Writing, Biking, Playing Soccer, and Hiking.

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