Jhanavi Hegde
Consultant @ Valley Consulting Group
About
I'm currently a freshman at UC Berkeley studying data science in the College of Computing, Data Science, and Society. I have a strong interest in using data to drive innovative solutions across fields, whether it be for sustainability or business. My experience includes applied machine learning, statistics-based testing, and research focused on energy systems and environmental data, where I’ve worked with visualization tools and remote sensing datasets. Outside of my academic and career interests, I love traveling, eating good food, working out, and wellness philosophy.I'm always happy to chat! Feel free to contact me at jhanavi.hegde@berkeley.edu
United States
Los Altos
Information Technology & Services
Product Management, Data Analysis, Strategic Consulting, XGBoost, Data Visualization, Youth Entrepreneurship, Strategic Planning, Communication, Computer Simulations, Environmental Awareness, Data Mining, Python (Programming Language), Pandas (Software), Geospatial Modeling, Remote Sensing Applications, Statistical Data Analysis, Data Modeling
Experience
Consultant
Valley Consulting Group
Berkeley, CA
Valley Consulting Group (VCG) is a UC Berkeley student-run strategy consulting organization that serves Fortune 500 tech clients. Recent clients include Spotify, Nike, Snap, Reddit, Google, and LinkedIn.
COSMOS @ UCLA
UCLA
Los Angeles, CA
- Selected participant in COSMOS at UCLA, a competitive four-week residential STEM research program for high-achieving students - Conducted ecological data analysis to study mycorrhizal fungi distribution and its symbiotic relationship with landscape characteristics across diverse ecosystems - Applied foundational statistical modeling techniques to transform raw field data into clear, presentable insights - Collaborated with a multidisciplinary student research team to produce a formal scientific analysis and poster presentation under faculty mentorship
Machine Learning and Climate Data Researcher
Polygence
The Enefit challenge is a Kaggle challenge with the goal of creating an energy prediction model of prosumers (both producers and consumers of energy) to reduce energy imbalance costs. This challenge poses a very real situation that has been propelling global warming discussions in recent years: How can we reduce energy usage, and ultimately, fossil fuel consumption? By participating in this challenge, I applied my machine learning skills to a real-world issue. Through my work, I would like to share my insights with other programmers around the world and contribute to collective knowledge in data science with new features or methods for developing models and analyzing data.
Sustainable Summer Program
Cornell University
Ithaca, NY
- Studied environmental science in the context of business, technology, and ethics at the Sustainable Summer program held at Cornell University - Simulated real-world environmental challenges and presented innovative sustainable methods to counter the looming crisis of climate change
Education
University of California, Berkeley
Data Science
Relevant Courses: Data 8 Data C88C Math 52 Math 54
Mountain View High School
Jhanavi Hegde's Contact Information
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