I am a dedicated WASH Data Analyst with a passion for harnessing data to drive meaningful improvements in access to safe water and sanitation. With a strong background in data collection, cleaning, analysis, and visualization, I have honed my skills using tools like Python, SQL, Power BI, and MS Excel. My experience extends to research, remote sensing, and GIS, particularly in applications that support WASH initiatives.

I am seeking a full-time data analyst role where I can contribute my expertise to impactful WASH projects, helping organizations make data-driven decisions that lead to sustainable outcomes.

Core Skills:

~ Data Analysis: Proficient in Excel, MySQL, and Python for thorough data cleaning, analysis, and interpretation, ensuring actionable insights. ~ Data Visualization: Experienced in creating insightful dashboards and reports in Power BI, translating complex data into clear visual narratives. ~ Research & Data Collection: Skilled in designing surveys, collecting field data, and maintaining high standards of data quality to support robust analysis. ~ GIS & Remote Sensing: Knowledgeable in applying GIS and remote sensing techniques for spatial data analysis, particularly in WASH contexts. ~ Communication & Collaboration: Adept at conveying complex data insights to both technical and non-technical audiences, fostering effective teamwork and informed decision-making.

Personal information
Full name: Collins Acheampong
User name: cacheamp
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Master's on Water Engineering (Pan African University)
LinkedIn profile
Github profile
Volunteer availability
Start date: Oct. 1, 2024
End date: None
Hours available per week: 10
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
GIS tools
SQL
Data in Text Files
Data in Relational Databases
Data from Sensors
Geospatial
Data > 1TB
Data Visualization
Experience working on real-world problems using data
Data Analysis
Time Series Models
Unsupervised models
Random Forests
Decision Trees
SPSS

Volunteer projects

No volunteer work yet.