U Dekontee Kun

About U Dekontee Kun

I am a results-driven Data Scientist and Senior Data Analyst who transforms raw, complex datasets into strategic insights that support informed decision-making. I bring hands-on experience across Python, SQL, NoSQL (MongoDB), Power BI, and data engineering fundamentals, with a focus on building end-to-end analytics solutions from data ingestion to visualization.My work includes analyzing large, multi-year datasets, developing forecasting and time-series models evaluated using statistical metrics such as R² and MAE, and designing interactive dashboards that support both operational and executive reporting. I have built analytics pipelines that process decades of historical data, integrate relational and NoSQL data sources, automate data preparation workflows, and enable consistent, repeatable analysis across teams.I focus on bridging technical complexity with real-world value by aligning analytical outputs with business and organizational goals. Whether modeling long-term trends, modernizing analytics workflows, or collaborating with cross-functional stakeholders, my approach emphasizes clarity, reliability, and actionable insights.Core Strengths and Impact AreasAdvanced analytics, statistical modeling, and exploratory data analysisSQL and NoSQL (MongoDB)–based data extraction, transformation, and validationPython workflows for ETL, time-series analysis, and analytical modelingDevelopment of automated dashboards in Power BI for executive and operational reportingData storytelling that translates analytical results into decisions stakeholders can act onCross-functional collaboration with engineers, analysts, and business leadersI am currently focused on applying data science, NoSQL, and business intelligence practices to help organizations modernize analytics pipelines, improve data quality, and scale decision-ready insights.

Experience

1. Data Analyst Upwork Remote

   Independent Consultant

   Dec 2022 — Present · US

   Engineered end-to-end ML models (classification, regression, NLP) using Python, Scikit-learn, and R, generating insights that improved decision-making accuracy by 30%- Designed analytics dashboards using Power BI, Tableau, Matplotlib, and Seaborn, reducing reporting cycles by 40% and enabling executives to monitor KPIs in real time- Designed and automated SQL-based pipelines for data cleaning, transformation, and feature engineering, cutting manual processing time by 60%- Developed AI/NLP solutions including sentiment analysis, keyword extraction, and a Retrieval-Augmented Generation (RAG) pipeline that improved query response relevance by 45%- Authored Jupyter notebooks, GitHub documentation, and technical reports to communicate model performance and insights across non-technical and technical teams- Collaborated with stakeholders to translate analytical findings into strategic recommendations that supported resourcing, product direction, and operational efficiency.** Tools & Technologies: Python, SQL, Power BI, Tableau, Machine Learning, NLP, Scikit-learn, Pandas, ETL, GitHub, Jupyter, Data Visualization, Predictive Analytics, R, Seaborn

Education

• Per Scholas

  Certification, AWS Cloud Practitioner

• Keller Graduate School of Management of DeVry University

  Masters of Information Systems/Project Management , Management Information Systems

  2016 — 2018

• African Methodist Episcopal University-Liberia

  Bachelor’s Degree, Public Administration

  2007 — 2011