Abinash Dhakal
@abinashdhakal
Data Analyst with expertise in Python, SQL, and machine learning.
What I'm looking for
I am a detail-oriented data analyst with a strong background in physics and astrophysics. With a 2:1 degree in MPhys from the University of Bath, I have developed a solid foundation in data analysis and machine learning. My experience spans across various industries, including sustainable agriculture, e-commerce, and EV infrastructure, where I have utilized my skills in Python, SQL, and machine learning to drive informed decisions.
Throughout my career, I have demonstrated my ability to analyze complex data, create informative dashboards, and develop predictive models. I am proficient in a range of tools, including Power BI, Excel, and Python, and have a strong understanding of cloud-based technologies such as Microsoft Azure.
I am a driven individual with a passion for data-driven insights and a keen interest in staying up-to-date with the latest advancements in machine learning and data science.
Experience
Work history, roles, and key accomplishments
EOS Data Analyst
Space Generation Advisory Council (SGAC)
Jun 2022 - Present (3 years 1 month)
Leading a research project utilizing the proprietary EOS Data Analytics platform for satellite-based crop monitoring and health prediction.
Data Scientist
SpaceChallenge
Jun 2022 - Sep 2022 (3 months)
Developed machine learning models achieving 92% accuracy in biome classification from multispectral satellite images and utilized vegetation indices to enhance crop health monitoring.
Data Energy Accelerator
Fast Futures
Feb 2022 - Jun 2022 (4 months)
Analyzed trends indicating a projected 68% growth in EV ownership and a 32.56% increase in public EV charge points.
Data Scientist
TechLabs
Jul 2021 - Dec 2021 (5 months)
Developed a web scraping application in Python to gather data on EV charging station locations and created an application using Google Maps API.
Education
Degrees, certifications, and relevant coursework
University of Bath
MPhys, Physics with Astrophysics
2018 - 2023
Grade: 2:1
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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