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Data Scientist with 3+ years in AI & Machine Learning
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Assessing your cultural and operational fit
Data Science professional with expertise in advanced analytics, artificial intelligence, and machine learning applications. Proven ability to enhance retail risk management, optimize operational efficiency, and deliver actionable insights. Experienced in analyzing large datasets, building predictive models, and guiding AI models in statistical methods and learning algorithms.
WorldQuant University
Applied Data Science Lab & Applied AI Lab
February 1, 2025 – September 1, 2025
Michigan Technological University
Master of Science · Data Science
January 1, 2023 – December 1, 2024
Moi University
Bachelor of Science · Applied Statistics and Computing
September 1, 2014 – August 1, 2019
Walmart
Asset Protection Associate
September 1, 2025 – Present
India
Alignerr
AI Trainer for Statistics and Data Science
February 1, 2025 – September 1, 2025
India
International Scholars Program
Data Scientist & RPA Intern
January 1, 2025 – January 1, 2026
India
Michigan Technological University
Graduate Teaching Assistant
September 1, 2024 – December 1, 2024
India
Masaa Communications Ltd
Data Analyst
February 1, 2020 – December 1, 2022
India
Kenya Marine and Fisheries Research Institute
Research Intern
May 1, 2017 – December 1, 2017
India
Housing in Mexico
January 1, 2025 – February 1, 2025
Analyzed a dataset of 21,000 real estate listings from Properati.com to identify whether property size or location has a stronger influence on sale prices. Created scatter plots and box plots to visualize the distribution of property prices across locations and property sizes. Conducted correlation analysis to determine relationships between variables and draw data-driven conclusions.
Designing and Developing an E-commerce Website
September 1, 2024 – December 1, 2024
Designed a relational database to store and manage product, customer, and transaction data efficiently. Created a functional e-commerce platform leveraging PHP, HTML, SQL, and JavaScript for seamless user interaction and backend management. Implemented interactive features like product browsing, shopping cart functionality, and secure user authentication.
Optimizing Fitting Time, Efficiency and Productivity using MLFlow
February 1, 2024 – May 1, 2024
Explored and demonstrated the optimization of machine learning modeling and deployment processes using MLFlow. Leveraged containerized applications to enable scalable and efficient ML operations, addressing field-specific challenges and improving overall productivity.
Telco Customer Churn
February 1, 2023 – May 1, 2023
Built predictive and classification models using various machine learning algorithms to analyze customer behavior. Achieved highest performance with a Neural Network model (Kappa = 0.7321) for prediction and Gradient Boosting (87% accuracy) for classification of potential customer churn. Identified key predictors to support future forecasting and strategic decision-making for improving business performance.
Azure Fundamentals
Microsoft
September 1, 2024 – Present
Large Language Models and Embeddings for Retrieval Augmented Generation
ITHAKA
September 1, 2024 – Present
Python Basics
Constellate from ITHAKA
August 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and work experience demonstrate a strong interest in applying data science to various domains, including retail, telecommunications, and e-commerce. The 'AI Trainer' and 'Graduate Teaching Assistant' roles suggest a collaborative and knowledge-sharing mindset. The diversity of projects and roles indicates adaptability and a willingness to learn new areas, which generally contributes positively to cultural fit in dynamic environments. The academic nature of many projects, however, might indicate less exposure to fast-paced industry environments.
Soft Skills & Operational Fit
The candidate lists 'Work Ethic, Adaptability, Excellent communication' as soft skills. Project and work descriptions indicate an ability to work on diverse tasks and communicate findings, which aligns with operational needs for a Data Scientist. The AI Trainer role also suggests strong communication and teaching abilities.