Hello, I'm
Darlan Tane
Data Analyst, Agronomy and agro-industry engineer
Passionate about transforming data into actionable insights. With expertise in Python, SQL, and data visualization tools.
# About Me
I am a passionate data analyst with a background in engineering and a strong focus on turning complex data into clear, actionable insights. I specialize in using Python, SQL, and various data visualization tools to solve business problems and improve decision-making processes.
My journey in data began during my engineering studies, where I discovered my passion for statistical analysis and data-driven decision making. Since then, I've expanded my skills to include machine learning techniques, business intelligence tools, and data visualization platforms.
Languages
Interests
Data Analysis Journey
Discovering Data Analysis
First exposure to data analysis with R and python during my engineering studies and my internship projects at Kumofoods and Sainte Lucie: Production costs optimization using an R language algorithm, and line performance indicators (KPIs) analysis using a Deep Learning program
Mastering Python & SQL
Developed strong coding skills for data manipulation through projects at Jedha : Air_pollution, Titanic survival pollution, Startup's profitability
Business Intelligence
Learned to create insightful dashboards with Power BI, Tableau and Looker studio at Jedha with projects like an Imdb_movies dashboard, and a SuperStore Dashboard
Machine Learning
Expanded skill set to include predictive analytics through certifications at Coursera
# Education
JEDHA Bootcamp
Data Science Developer
Subjects & Topics:
- Python Programming: Data Exploration and Visualization (Pandas, Numpy, Seaborn, Matplotlib)
- SQL: Data Queries and Modeling (Google Cloud Platform, Microsoft Azure, Snowflake)
- Business Intelligence: Data Formatting, Exploration and Presentation (Power BI, Tableau, Looker Studio)
- Predictive Analysis and Machine Learning (Dataiku)
UniLaSalle
Master's Degree
Subjects & Topics:
- Data Analysis and Biostatistics
- Food Production, Quality and Safety
- Supply Chain and Logistics
- agri-food product environment
- Innovation and entrepreneurship
PrépaVogt
Intensive Preparatory Program for Engineering Schools
Subjects & Topics:
- Computer Science Fundamentals
- Biology and biochemistry
- Geography, geology and Environment science
# Professional Experience
- Collected, cleaned and analyzed historical data using dashboards to anticipate demand peaks, price variations, and quarterly transportation costs
- Optimized goods routing by 30% through analysis of delivery reports and real-time tracking of merchandise
- Collaborated with cross-functional teams to improve supply chain efficiency
- Analyzed production line performance indicators (KPIs) using Deep Learning to predict performance values
- Created 25 work instruction documents, ensuring operators' skill advancement in production activities
- Planned production schedules based on human and material resources availability
- Optimized production costs by 20% using an R algorithm to estimate costs and correlate them with KPIs
- Initiated continuous improvement plans (5S) based on data analysis
- Managed production flows and organized production teams
# Projects
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# Skills
Programming Languages
Python
SQL
R
JavaScript
Data Analysis Tools
Pandas
NumPy
Excel
Jupyter Notebook
Visualization Tools
Power BI
Tableau
Looker Studio
Seaborn
Matplotlib
Other
Hubspot
VS Code
# Certifications
# Contact Me
Get In Touch
Interested in collaborating or have a project in mind? Feel free to reach out to me using the contact form or through my email or phone.