Machine Learning Data Visualization

ALBERIC KOUADIO

San Antonio, TX *****

*************@*****.*** 713-***-****

Statistician, Economist, and Military Veteran with over 5+ years of administrative support, database management, statistical management, and experienced in Machine Learning, Data mining with large Structured and Unstructured large data sets, performing Data Acquisition, Data Validation, Predictive modeling, and Data Visualization. Financial service and industry experience in text mining, transposing words and phrases in unstructured data sets into numerical values.

TECHNICAL SKILL

DATA VISUALIZATION

Tableau 10, PowerBI, R, Python, SAS, Minitab, Excel V look up,

Expert level knowledge in Microsoft PowerBI

Data Analysis Expressions (DAX)

Power Query M language

Proficient level knowledge of data models and dimensional database design development

Proficient level knowledge of data mining and segmentation techniques

Proficient level knowledge of data hygiene and quality best practices

SOFTWARE TOOLS

SAS, Excel, PowerPoint, SPSS, STATA 13, Python, Data query and Data manipulation, in situ with SQL server, R, SAS, Python (+ NumPy, Pandas, SciPy, Jupyter, Spark, Seaborn, etc.), Advanced Excel, SharePoint online, Power Apps, power Automate.

HTML, JavaScript, GitHub, Databricks, AWS services (S3 buckets, AWS storage options, SageMaker, etc.).

LEADERSHIP

Demonstrated leadership and self-direction with willingness to both teach others and learn new techniques.

PRESENTATION

Proven capabilities in presenting technical findings to non-technical audiences

COLLABORATION

Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for design and assess improvements. Organized, self-motivated, and self-directed.

Being able to work independently once tasks and directions are provided.

Knowledge of a wide range of methods and techniques used in operations research studies and possession of analytical abilities.

projects and/or studies within established financial and/or time constraints.

COMMUNICATION

Ability to comprehend needs and concerns and provide easy to understand solutions. Have strong time management and organizational skills, attention to detail and ability to multitask. Good understanding of data structure and management.

Speaking fluently both English and French languages

Working with a goal-oriented mindset to improve reporting and analytics to achieve peak efficiency within a given business unit.

Ability to develop and utilize appropriate data collection techniques.

Ability to design, build, and use models and simulation techniques.

SKILLS

Analytical methods: Panel Data, Dynamics Panel Data, Advanced Data Modelling, Forecasting, time series Models, Regression Analysis, Predictive Analytics, Statistical Analysis (ANOVA, ANCOVA, AR, MA, and ARIMA), inferential statistics, Bayesian Statistics, descriptive Statistics, calculus.

Programming: SAS (base SAS and Macros), SQL, R, Python

Supervised Learning: linear and logistic regressions, decision trees, support vector machines (SVM)

Unsupervised Learning: K-means clustering, principal component analysis (PCA)

Python (NumPy, Pandas, Scikit-learn, Keras, TensorFlow), SQL (MySQL, Postgres, Microsoft SQL server) Time Series Forecasting, Productionizing Models, Recommendation Engines Customer Segmentation

Data Visualization: Excel, Google Sheets

WORK EXPERIENCE

JASINT Consulting and Technologies, LLC January 2024-Present

(federal Government Contractor)

General Services Administration (GSA)

Data Scientist (IT Support)

developed data visualizations and dashboards to communicate key insights using Tableau and Excel Power Query.

Developed and implemented NLP models for sentiment analysis, entity recognition, relation extraction, etc.

Analyzed the data using Python libraries such as Pandas, Scikit-Learn, TensorFlow to extract features and built statistical models in Python/JavaScript based on ML algorithms like SVM, Logistic Regression, Neural Networks.

Developed and implemented NLP models for sentiment analysis, entity recognition, relation extraction, etc.

Analyzed the data using Python libraries such as Pandas, Scikit-Learn, TensorFlow to extract features and built statistical models in Python/JavaScript based on ML algorithms like SVM, Logistic Regression, Neural Networks.

data wrangling via notebooks like Jupiter notebook

querying, validating, manipulating, and transferring data sets across multiple formats using SQL.

Natural Language Processing using python

Data cleaning using python Jupiter notebook, visual studio codes (VSC)

Writing SQL queries in a Squirrel SQL server environment across multiple platforms and automate in Python.

Create an ETL pipeline in Python with Pandas

Used google apps script to automate function in google sheet and excel sheet

Booz Allen Hamilton (DoD Contractor) September 2022 – January 2024

Joint Base Fort Sam Houston, San Antonio

HQ US Army Installation Management Command (HQ-IMCOM)

Provost Marshall Protection (PMP)

Senior Physical security Analyst

developed data visualizations and dashboards to communicate key insights using PowerBI and Excel Power Query.

Created and managed analytics impactful dashboards using PowerBI or Excel PowerQuery for data reporting.

Data analysis and reporting using Advanced EXCEL 365(Vlook up, PivotChart Powerpivot, Power Query, Pivot table, Formulas, Graph)

Model governance and review, including model deficiency identification and remediation, independent testing, ongoing performance monitoring, and compensating controls in all aspects of the model lifecycle.

Uses Power BI Extract Transform Load (ETL) to process data and increase performance from multiple sources

Statistical analysis using R and Python.

Design and deploy graphic visualizations using PowerBI.

Create calculated fields, combine fields, bins, sets, and hierarchies using PowerBI.

cleaned unstructured datasets.

data wrangling via notebooks like Jupiter notebook

querying, validating, manipulating, and transferring data sets across multiple formats using SQL.

Worked on source to target Data mappings in excel as well as Informatica Data Quality (IDQ) tool to deliver the application level specific rules to the developers and performed Data Profiling.

translate complex, technical findings into an easily understood narrative in graphical, verbal, or written forms.

Development and reporting of spending plans and Execution reports.

Processing financial documents.

Reconciliation of actual execution and programmed controls.

Develop and maintain annual and multi-year spending plans.

Track commitments, obligations, expenses, and disbursements for daily/weekly/monthly reporting requirements.

Extract, analyze, and distribute status of funds (SOF) reports, open commitments, and open obligations reports on current and prior fiscal year financial data for assigned program/project and organizational funds.

data analysis and reporting, including dashboard development, data cleansing, metrics analysis, and research.

Northside Independent School District, San Antonio Texas

Substitute Teacher

September 2021- September 2022

Created engaging lessons that encouraged critical thinking and posed higher order thinking questions

Implemented lessons that involved multiple instructional methods and were cross curricular to promote academic growth in a 9th to 12th grade classroom for twelve weeks

Strengthened the classroom management plan to increase students focus and motivation

Worked with teachers to develop standardized assessments

Collaborated with teachers on school wide behaviours management plan aimed at increasing cooperation

University of Texas at San Antonio

Statistics and Mathematics Teacher Assistant

San Antonio, TX January 2021- May 2023

Assessed students' learning to determine learning weaknesses and needs, successfully helping students perform 13% better in college algebra, precalculus, calculus, and statistics undergraduate courses.

Met with 30+ students per week through online learning platforms or in a 1:1 setting at the tutor centre.

Taught over 200 students concurrently while providing a high degree of education when required

Methodically planned and executed on lesson plans, including necessary resources to complete statistic lesson

Scheduled weekly appointments for students and set schedules for student statistics and math tutors.

Communicated with professors about curriculum and submitted reports 2 times per week to maintain up-to-date learning plans for students.

General Dynamics Information Technology (DoD contractor)

Stennis Space Center, Mi

Data Analyst/Data Scientist

July 2020- December 2020

Create Taxonomies, Glossaries and ontologies using TopBraid EDG for the Naval Meteorology and Oceanography Command

Made recommendation for the Naval oceanography enterprise Controlled vocabulary Governance (NAVY)

Manage Metadata for the Naval Meteorology and Oceanography Command

Created an XML document Transformed XML document into XLS, XLST

Handle Unstructured and structure Data to derive some information from which helps in development of the company

Write SPARSQL queries to perform advanced-level data extraction, transformation and data management tasks providing on the go responses to some management questions by performing complex joins and queries.

Analyze benchmarking data, reports, processes, and measurements for Naval meteorology and oceanography indicators.

Create an ETL pipeline in Python with Pandas

Used Python 3.0 (NumPy, SciPy, Pandas, SciKit-Learn, Seaborn, NLTK) to develop variety of models and algorithms for analytic purposes

Marathon Oil, San Antonio, Texas (USA)

Logistic Business Analyst/Metrics Reporting

Dec 2019- June 2020

Leads and performs activities to develop and execute tests to validate ATG system functionality against specifications

Conduct statistical inventory reconciliation on more than 600 underground storage tanks

Analyze inventories and dispensing data collected to determine whether tank system is leaking

Gather more than 200 metrics on uninterrupted basis for tanks and producing reports to communicate performance against goals, areas for improvement, and progress toward the desired state

Manage People.Net database to setup, delete, add drivers on implementing the Electronic Logging Devices

Collaborated with other analysts and key stakeholders to identify underlying trends, both internally and externally, impacting current and future enrolment and financial considerations, and incorporate trends into forecast models

Dealing with a large set of data coming from five different sources

Used analysis packages (e1071, catools, sklearn, dploy, ggplot) in programming languages (R, Python) in query, extraction, and manipulation.

Monitor daily 30 workflow using Salesforce software and integrated data system.

Development of requirements and specifications for the introduction of or change to business practices, procedures, and organization.

Utilization of Excel including pivot tables, graphing and mechanization, fast load

Enhanced already existing statistical models (linear models) for predicting the best prices for commercialization using Machine Learning Linear regression models, by applying a mix of linear regression and random forest regression.

Work on business process flow and able to convert business process in technical data flow Import, clean and validate large sets of data

Created impactful dashboards using Tableau or Excel for data reporting

Data analysis and reporting using Advanced EXCEL (Vlook up, PivotChart Powerpivot, Formulas, Graph)

Model governance and review, including model deficiency identification and remediation, independent testing, ongoing performance monitoring, and compensating controls in all aspects of the model lifecycle?

Design and deploy graphic visualizations using Tableau

Create calculated fields, combine fields, bins, sets, and hierarchies using Tableau

Implemented Data blending to blend related data from different data sources in Tableau

Utilization of MS Access including data import/export, query building, information extraction, and mechanization

U S Army, Fort Story (Virginia Beach, VA)

Transportation Analyst

May 2016 – Jan 2019

Oversaw the preparation of equipment, cargo, and personnel for travel to airports, seaports and railways. Coordinated, planned, managed, and maintained organization manning document and loading plans for rail, air, and vehicles.

Prepared and maintained records and files of transportation documentation to include government bills of lading, transportation control and movement documents, transportation movement requests, and other documentation

Completed statistical analysis and data computation in 100% compliance within department directives and standard operating procedures

Write complex SQL scripts (Store procedures, Functions, Indexes, Views) to maintain datasets

Create SQL queries to update, create tables, extract data for analysis and data consistency checks

Performed cargo analysis using propensity-score weighting statistics and generated detailed reports for further analysis by senior leadership

Collaborated with a team of 4 and coordinated with the lead transportation specialist, strategic planner, and team manager to complete assignments rated for timeliness and level of completion; lauded for excellent product distribution

Ensured top quality and confidentiality of work by standardizing functions and tracking metrics, while streamlining processes

EDUCATION

PhD in Data Science (In Progress) National University

Master of Science in Statistics and Data Science University of Texas San Antonio

Master of Science in economics College of Economics, University of Cocody

Bachelor of Science in Economics College of Economics, University of Bouake

Bachelor of Science in Mathematics concentrated in Statistics American Military University

Cyber Security Graduate Certificate University of Texas at San Antonio

Associate of Science in Petroleum Engineering Technology Houston Community College.

Contact this candidate