Imani Kirika - Consultant - Product, Data & Analytics ( CX ), Korn Ferry

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Network Power<100 people

Roles

✔️66%

🧨66%

Consulting

💰33%

Investor & VC

Geos

🇨🇦33%

Canada

🇺🇸33%

United States

Work Background

Startup BostonConsultant: Data & Technology Strategist

Jan. 2024Remote

Preserving Records Everywhere (PRE)Consultant: Chief Executive AI Officer, Product Manager

Aug. 2023Manage the Designing, Testing and Implementing AI solutions to enhance operational efficiently and stakeholder experience. Working on AI roadmaps for an organizations that includes automation and manual processes while ensuring alignment between AI solutions and technical infrastructure

Alvin TechnologiesBusiness Technology Strategist - Data Science Manager

May. 2022 - Nov. 2022Global RemoteAlvin Technologies

DianthusStaff Data Scientist

Mar. 2022 - Aug. 2022RemoteDianthus

InAlignment VenturesConsulting Partner

Jan. 2022RemoteA Business Consultancy offering services in the realm of Data, Client Experience & Product Support

Korn FerryGlobal Consultant - Product, Data Science & Analytics ( Client Experience )

Aug. 2021Global RemoteSkills: Client Services · Solution Architecture · Data Architecture

BestimateData Science / Developer Project Manager

Aug. 2021 - Dec. 2021Global RemoteNuclius

BloomTechData Science - Code Reviewer

Aug. 2021 - Nov. 2021

BloomTechData Scientist - Machine Learning-AI

Feb. 2021 - Aug. 2021Remote-Extensive and immersive Data Science apprenticeship. -A data scientist on a ready-to-deploy project, working alongside UX designers, web developers, and mobile developers to bring the project to fruition -Developed a solid foundation of descriptive and predictive statistics, including linear algebra, linear regression, hypothesis testing, data storytelling, feature engineering, and more -Gained hands-on experience engaging with machine learning, being able to understand unsupervised learning, natural language processing, and neural networks -Completed a deep dive into Data Engineering, working with databases, productization, and big data -Studied several modalities in Data Science, including but not limited to: Demonstrated mastery in the following subject areas: • Python (pandas, numpy, seaborn, scikit-learn, matplotlib) • Predictive analytics & exploratory data analysis (EDA) • Feature engineering, clustering, dimensionality reduction • Packages, containers (Docker), & unit testing • SQL (PostgreSQL, Flask, ETL pipelines) • Natural Language Processing (NLP), Image Processing • Tree ensembles, neural networks, gradient boosting, ensemble methods • Git workflow