Gham Power Nepal
Data Analyst (Super Krishak)
About the Organization
Gham Power is a Nepal-based clean energy company focused on expanding access to reliable and affordable solar power for productive use in rural and underserved communities. Since its inception, Gham Power has deployed solar solutions for irrigation, agro-processing, and small enterprises, enabling income generation while reducing dependence on fossil fuels and grid unreliability.
Through its long-term engagement with farmers and agri-based enterprises, Gham Power identified that energy access alone is not sufficient to improve agricultural productivity and resilience. Farmers also face challenges related to limited advisory services, inefficient resource use, climate variability, and weak market linkages. In response, Gham Power has begun developing and piloting digital agriculture initiatives that complement its core energy solutions.
These initiatives, including the Super Krishak platform, integrate solar-powered IoT devices, satellite data, and mobile-based advisory tools to support climate-smart farming practices, efficient irrigation, and data-driven decision-making. The Keeling Curve Fellowship will directly contribute to strengthening this agriculture-focused initiative by supporting research, product development, and implementation of data-driven tools that enhance climate impact and farmer outcomes.
By bridging clean energy infrastructure with emerging digital agriculture solutions, Gham Power aims to accelerate climate mitigation and adaptation outcomes while creating sustainable value for smallholder farmers and agri-businesses in Nepal.
Fellowship Description:
Super Krishak already uses an admin dashboard to track feature level analytics but the platform generates much richer datasets that go beyond basic usage metrics. To strengthen advisory accuracy, content planning and farmer impact evaluation, we are seeking a Data Analyst who can use Python for data cleaning and Power BI for advanced insights and custom reporting.
This role focuses on transforming raw agricultural and user datasets into meaningful insights that improve decision making across product development and field operations.
Responsibilities
Clean, preprocess and structure datasets from Super Krishak using Python (Pandas, NumPy etc.)
Conduct exploratory data analysis (EDA) on:
Crop issues, pest and disease patterns
Soil nutrient variations by geography
Seasonal crop trends
Resource management data (fertilizer, water, satellite layers)
Build custom Power BI reports that go beyond the existing admin dashboard, supporting:
Agri expert advisory improvements
Content planning (articles, trainings, podcasts)
Location/crop specific insights for field outreach
Impact measurement for internal teams and partners
Identify patterns that can help refine training modules, disease models or advisory frequency
Support monitoring and evaluation by generating clean, analysis ready datasets
Collaborate with Agri Tech to translate insights into feature improvements
Qualifications:
Strong Python skills for dataset handling
Experience developing deeper analytical views using Power BI
Ability to work with agricultural or user behavior data
Strong communication skills to present insights clearly to non technical teams
Time Commitment: 20 hours / week