Gracia Tidatoa
Data Scientist | Machine Learning
Accra,Ghana--
Professional Profile
With over three years of software development and architecture experience, I am now advancing my career in Machine Learning. I specialize in
designing and implementing models using TensorFlow, PyTorch, and scikit-learn to solve real-world problems. My engineering background enables
me to build scalable, production-ready systems that efficiently integrate ML models. I’ve led projects achieving 99% accuracy and a 75% reduction in
computation time through feature engineering and optimization. Passionate about leveraging ML for innovation, I aim to deliver impactful solutions
across industries.
Education and Certifications
École Supérieure de Gestion, d'Informatique et des Sciences
Bachelor of Computer Science - Software Engineering Lomé, Togo 04/2021
DataCamp
- Certified Data Engineer, Data Analyst , and Data Scientist
- Certified in Data Literacy and AI fundamentals
Technical Skills
Python, Regression Analysis, Spark, Exploratory Data Analysis, AWS SageMaker, Machine Learning, Model
Interpretation, Database Design & Management, Natural Language Processing, Containerization, TensorFlow, Keras,
PyTorch, Scikit-Learn, Computer Vision, OpenCv, ETL (Extract Transform Load), SQL, Statistical Analysis, Power BI, AI
Soft Skills
Business Understanding, Collaboration, Attention to Detail, Creativity, Critical Thinking, Communication, Adaptability, Bilingual
Experience
British Airways Job Simulation
Data Scientist Intern Online (Virtual Work Experience)
07/2024
• Developed a web scraping and data extraction system to analyze customer review data, uncovering insights that contributed to British
Airways' operational success.
• Built a predictive model to analyze factors influencing customer buying behavior, improving decision-making in marketing strategies.
• Applied advanced analytics to enhance the accuracy of forecasts and business outcomes, contributing to strategic growth initiatives.
BCG Job Simulation
Data Scientist Intern Online (Virtual Work Experience)
07/2024
Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills, identifying essential client
data, and outlining a strategic investigation approach.
Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualization techniques for insightful trend
interpretation.
Completed the engineering and optimization of a random forest model, achieving a 99% accuracy rate in predicting customer churn.
Conceived a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on the
analysis
Isahit
Freelance
12/2021 - 05/2023
Collaborated with Isahit, an ethical data labeling platform specializing in AI and data processing, to streamline and enhance the data
annotation process for machine learning models.
Coordinated with a global team of data annotators to manage and validate data quality, employing rigorous quality control measures to
maintain consistency and reliability in labeled datasets
Contributed to the development of best practices and guidelines for ethical data handling and annotation, ensuring compliance with
industry standards and enhancing the overall quality of the data used for training AI models.
TRS Tech
Software Engineer Lomé,Togo
07/2019 - 03/2021
Spearheaded the development of TRS Tech's official website, delivering a modern, responsive, and high performance platform that served
as the company's primary digital interface for clients and partners in the IT and engineering sectors.
Designed and developed a suite of custom scripts to automate the extraction, transformation, and loading (ETL) of data from disparate
sources. This ensured seamless data integration across the organization
Designed and implemented comprehensive database architectures tailored to TRS Tech's needs, including both relational and nonrelational databases, to support various business functions
Implemented a software application for Linux that interfaces with Whois search services to execute queries across various internet
registries, including AfriNIC, RADb, RIPE, and others. This tool enables users to query multiple registries to retrieve information about internet
number resources, such as IP addresses and AS numbers, providing a consolidated view of registry data for enhanced network management
and analysis.
Languages
English, French
Portfolio
Github
