Data Science Scientist

Precious Orekha

Data Science - AI Analyst

Philadelphia, Pennsylvania, United States (Open to Relocation) • ***************@*****.*** • +1-267-***-**** • https://www.linkedin.com/in/precious-orekha/ • https://github.com/moreira-presh As a committed Data Scientist and KaggleX Grantee with strong Project Management skills, I leverage AI and machine learning to deliver actionable insights and innovative solutions that address complex business challenges. PROFESSIONAL EXPERIENCE

AI Engineer Reality AI Lab United States Dec 2024–Present

● Collaborate with open-source communities to identify use cases for Gen AI, improving project outcomes by 20%

● Contribute to various open-source AI projects, fostering community engagement and knowledge sharing among data science enthusiasts

● Collaborated with a team to enhance AI algorithms' accuracy, resulting in improved model performance and client satisfaction

AI Engineer Contractor Outlier AI Remote (United States) June 2024 – December 2024

● Collaborated on training large language models by crafting and refining high-quality prompts for various reasoning and language tasks

● Provided subject matter expertise in STEM fields including mathematics, chemistry, physics, logic, and astrophysics to enhance LLM capabilities

● Developed content that strengthens advanced reasoning, problem-solving, and calculation skills in AI-driven chatbots

● Contributed to improving the performance of next-generation LLMs such as future versions of ChatGPT through targeted evaluations and feedback

● Supported multi-step task generation for LLM training, enabling more accurate understanding and contextual awareness in technical domains

● Assisted in error analysis and prompt adjustment to fine-tune model behavior across different difficulty levels and content types

Summer Data Science ConsumerAffairs Tulsa, Oklahoma, United States July 2024–August 2024

● Implemented predictive models using AutoML that identified high-converting leads, with the aim to improve client acquisition rates

● Executed comprehensive model interpretability analysis employing SHAP and LIME, fostering trust among stakeholders in AI-driven decisions

● Collaborated with marketing stakeholders to design and implement AI-driven solutions, optimizing campaign performance and streamlining workflows

KaggleX Practitioner- Data Science Kaggle California, United States July 2023–November 2023

● Engineered a computer facial recognition model with a 95% accuracy rate for emotion detection, contributing to advancements in mental health monitoring

● Led a health study on emotion recognition, developing a dashboard that tracks mental health trends, aiding healthcare professionals in preventive care

● Published an article detailing project methodologies and results, and created a video presentation demonstrating the model's applications

Junior Data Scientist Hamoye AI Labs Lagos, Nigeria July 2020–July 2022

● Led a team of 3 junior data scientist to develop a Named Entity Recognition System using NLP, enhancing security awareness by 30% through improved identification of critical events

● Trained over 600 aspiring data scientists in AI/ML techniques through webinars, and content creation, showcasing leadership and communication skills

● Collaborated with teams across different sectors such as renewable energy, finance, transportation, etc., to implement machine learning models, improving project outcomes PERSONAL PROJECTS

Developed two domain-specific LLM-powered applications - https://lnkd.in/eRXj3kQS

● Medical Diagnosis Extractor: Built an intelligent NLP pipeline using GPT-based LLMs to extract key symptoms, conditions (e.g., Multiple Sclerosis), and medications from clinical notes, aiding faster triage and diagnostic workflows.

● Retail Q&A Bot: Designed a natural language chatbot for retail inventory management that responds to product availability, sales trends, and restocking queries using LangChain, semantic search (ChromaDB), and Supabase.

● Employed RAG architecture, vector databases, and prompt engineering for domain adaptation and contextual accuracy.

● Focused on accessibility, enabling non-technical users (e.g., store managers, health staff) to interact via simple queries through a Streamlit interface

PUBLICATIONS (ResearchGate -Precious Orekha)

Predictive Cyber Defense: Harnessing AI and ML for Anticipatory Threat Mitigation (DOI:10.55248/gengpi.5.0924.2669) AI and Reinforcement Learning in Algorithmic Trading: Optimizing Market Execution, Liquidity, and Risk Exposure (DOI: 10.56726/IRJMETS68800)

Integrating machine learning in business analytics consulting for proactive decision- making and innovation (DOI: 10.30574/wjarr.2025.25.1.0251)

EDUCATION

Drexel University College of Computing & Informatics Philadelphia, USA June 2025 Master of Science - MS, Data Science (Minor in Project Management) GPA: 3.96/4.0 University of Benin Benin City, Nigeria December 2019 Bachelor of Engineering - B.ENG, Chemical Engineering GPA: 3.40/4.0 SKILLS

Data Analysis

Machine Learning

Predictive Modeling

Big Data

Power BI/Tableau

LangChain/LangGraph

Python R Programming

SQL/MySQL

AWS Cloud Computing

LLM

Microsoft Azure

AI Agents

Data Visualization

Project Management

Geospatial Analysis

GEN AI

SnowFlake

Prompt Engineering

PROJECT MANAGEMENT

Gantt Chart Wrike Jira Trello CRM PERT

CERTIFICATES

Azure Data Science Associate (in progress) Microsoft Azure 2025 AWS Certified Cloud Practitioner AWS 2022 - 2025 Generative AI vs. Traditional AI LinkedIn / 2025 Advanced SQL DataCamp 2024

Advanced Google Analytics Google Analytics 2023

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