About

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Data Scientist

Leveraging a combination of cutting-edge data science and strategic marketing acumen, I am a results-driven professional positioned to bridge the gap between technology and business. With a MSc in Data Science, an MBA in Marketing, and a BSc in Mathematics & Applied Physics with a minor in Computer Science, my profile encompasses a unique fusion of technical proficiency and business acumen. Holding AWS certifications and boasting a diverse skill set covering machine learning, big data analytics, statistical modeling, market mix modeling, AB testing, and NLP (including LLMs), I am a versatile problem-solver in the data-driven landscape. Having successfully managed the entire life cycle of machine learning products, from data collection and engineering to model deployment, I excel at transforming raw data into actionable insights. My expertise in model deployment, DataOps, and MLOps further fortifies my capacity to deliver data-driven insights that empower businesses. Eager to apply my skills in data science, analytics, and marketing, I am enthusiastic about driving strategic decision-making and enhancing customer experiences in roles that seamlessly connect these dynamic fields.

City:

Availability: Open to Work

Job Preferences

Job titles: Data Scientist · Machine Learning (ML/AI, MLOps) Engineering · Data Analyst · Data Engineering (DataOps) · Business Analyst
Workplaces: On-site · Hybrid · Remote (Open to relocate)
Job types: Full-time · Contract · Part-time · Internship · Temporary
Start date: Immediately · I'm actively applying

Skills

Python (Pandas, Numpy, Plotly, Matplotlib, Scikit-learn)100%

Data Engineering (ETL - Preprocessing, Integration, & Pipelines) 95%

R 85%

Software Engineering (C++, Java, JavaScript, React) 50%

Database management using SQL and NoSQL80%

Machine Learning (Reinforced, Supervised, Unsupervised and Transfer) 95%

Statistical Modeling & Experimental Design (A/B Testing, etc)90%

Natural Language Processing(NLP) (NLTK, SpaCy, Transformer-Based LLMs) 80%

AWS(Compute, Database, Analytics, Machine Learning, etc.) 90%

Deep Learning (TensorFlow, PyTouch) 90%

Big Data Analytics(Hadoop, Spark/PySpark, Kafka, Hive, Amazon EMR, Amazon Kinesis)60%

Web Development (HTML, JS, CSS, Node & React) 40%

CI/CD tools (Git,Puppet, Jenkins & Chef) 50%

Containerization (& Orchestration) Technology(Docker, Kubernetes, AWS EKS, ECS & ECR) 65%

Data Visualization (Tableau, PowerBI (DAX & VBA), Streamlit, Qlik Sense) 85%

Market-Ops Research & Market mix Modeling65%

Interests

Data Visualization & Presentation

Business Intelligence & Strategy

Cloud Solutions Architecture

Data Engineering & Data Warehousing

Cloud and Distributed Computing

Healthcare-Specific Data Analytics

Data Mining and Statistical Analysis

Operations & Market-Related Data Analytics

Reliability Engineering

Database Management & Architecture

Image Processing

Augmented & Virtual Reality

Certifications

This credential helps organizations identify and develop talent with critical knowledge related to implementing cloud initiatives. Earning AWS Certified Cloud Practitioner validates cloud fluency and foundational AWS knowledge.

AWS Certified Cloud Practitioner

This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Solutions Architect - Associate validates the ability to design and implement distributed systems on AWS.

AWS Certified Solutions Architect - Associate

This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Machine Learning - Specialty validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.

AWS Certified Machine Learning - Specialty

This certificate in TensorFlow development is intended as a foundational certificate for students, developers, and data scientists, demonstrating (and helps organizations identify and develop talent with) critical, practical machine learning skills through the building and training of models using TensorFlow

Kuzi Rusere

Passionate and Creative Data Scientist with a flair for innovation, adaptability, and a relentless drive to transform data into powerful, game-changing solutions using cutting-edge technologies.