Ph.D. Organic & Materials Chemistry
Howard University Washington, D.C.
Tanti Ouattara, Ph.D.
EDUCATION
Google Cloud Certified Associate Engineer, Google Cloud Digital Leader Certified, AWS Certified Cloud Practitioner, Data Analytics (Wash U, STL), SQL (Coursera), Machine learning (Coursera) Post Graduate Certificates
SKILLS
Python:
- pandas, Keras, Pytorch, Sklearn, NLP, Tensorflow
AWS:
- SageMaker
Databases:
- PostgreSQL, MySQL, SQLite, Nosql, MongoDB
Data Visualization:
- Tableau, Google Data Studio, Streamlit, Plotly, Seaborn, Matplotlib, D3.js
Misc:
- Experience with Quantum Computing, RDKIT,
Cloud Environment:
- AWS, GPC
Quantum Computing:
- Introduction to quantum computing (IBM Qiskit)
CERTIFICATIONS
Google Cloud Certified Associate Engineer
Google Cloud
February 2024
AWS Certified Cloud Practitioner
AWS Cloud
June 2024
EXPERIENCE
CYINT Technologies
Data Science Research Fellow
September 2021 - Present
- Developed an application to help Kiva.org customers during their application process.
- Scraped LinkedIn and developed a dashboard for the most tools for a data science position.
- Participated as a team-member to a kaggle competition (not ranked).
- Built a machine learning model to predict Breast cancer presence in Cell Nuclei.
- Used machine learning to predict the potability of water (random Forest).
Brewer Science Inc. Rolla, MO
Scientist
January 2013 - Present
- Developing analytics solutions for Product, Sales, and Electrical & Chemical Engineering to enable testing and monitoring across the development lifecycle of compounds (used in the manufacture of silicon chips).
- Built a model to predict the minimum energy required to develop a compound based on various potential chemical compositions, in turn reducing the marginal cost of production by 40% (linear regression).
- Created a predictive model using regression to forecast the rate of chemical absorption and refractive index (determinants for enabling cost-efficient circuitry and electric conduction in chips).
Brewer Science Inc. Rolla, MO
Senior Associate
July 2008 - December 2012
- Queried continuous datasets of chemical properties (SQL), developed regressions, and displayed predictive visualizations to optimize the fabrication of novel epoxy adhesives (Google Data Studio, JMP).
- Built a dashboarding tool allowing stakeholders to change various input parameters involved in the testing pipeline (temp, pressure, solvents) to predict functional properties of the output material and impact on KPIs.
- Designed a standardized testing framework to scale the repetitive classification modeling process, allowing scientists to input observed traits and estimate one of various desired outcomes (stability, durability, etc.).