Bruno Yonng Leopoldo

Bruno Yonng Leopoldo

$40/hr
Research Data Analyst
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
31 years old
Location:
Luanda, Luanda, Angola
Experience:
1 year
BRUNO YONNG LEOPOLDO Luanda, Angola |-|- | https:// linkedin.com/in/brunoyonngleopoldo PROFESSIONAL SUMMARY Geological Engineer, Research Data Analyst and Data-driven innovative with 3 years of experience in analysing complex datasets, building predictive models, and delivering actionable insights. Proficient in Python for research data analysis, BI tools, SQL, and machine learning techniques. Adept at problem-solving, data visualization, and collaborating with cross-functional teams to drive business outcomes. PROFESSIONAL EXPERIENCE: Production Geologist & Data Analyst Yetwene Mining Society | June 2023 – December 2024 - Developed and deployed predictive models that increased higher diamonds recovery by 15% using Python libraries (Pandas, Scikit-learn). Collaborated with cross-functional teams to extract insights from large datasets, leading to data-driven decision-making. Automated data preprocessing and reporting workflows, reducing turnaround time by 30%. Designed and implemented interactive dashboards using BI tools to visualize key performance indicators in diamond industry. Supported the integration of data from various sources (SQL databases, CSV files, APIs) into a centralized data warehouse. Built regression and classification models that improved company revenue predictions by 10%. EDUCATION - Geological Engineering – University of Moa, Cuba • September 2014 - June 2019 Graduated with distinction. CERTIFICATION - IBM Program Data Science Professional Certificate - Oil & Gas Industry Operation and Markets – Duke University - Statistics with Python Specialization – University of Michigan February 2025 February 2025 March 2025 TECHNICAL SKILLS Programing and Tools: Python, R, SQL Jupyter Notebook, Pandas, NumPy, Scikit-learn, TensorFlow, Keras Data Visualization: Tableau, Matplotlib, Seaborn, Power BI Machine Learning & Statistics: Regression, Classification, Clustering, Time-Series Analysis, Hypothesis Testing Big Data & Databases: Hadoop, Spark, MongoDB database Geological Tools: Petrel, ArcGIS, Datamine, Leapfrog Geo, Google Eearth Other: Data Wrangling, Data Cleaning, Statistical Analysis, Predictive Modeling. LANGUAGES: Portuguese (Native), English (intermediary), Spanish (Avanced)
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