Bhavya Goel

Software Engineer

Bengaluru, Karnataka, India5 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Strong foundation in data science and machine learning.
Experience in developing data-driven solutions.
Proven ability to tackle complex challenges.

Stackforce AI infers this person is a Data Science and Machine Learning professional with SaaS experience.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

BlockchainC (Programming Language)C++Core JavaData AnalysisData StructuresDeep LearningKerasNeural NetworksPyTorchPythonPython (Programming Language)TensorFlow

About

Currently contributing as a Software Engineer - 2 at Airbnb, leveraging a strong foundation in data science, machine learning, and data structures. Graduated with a Bachelor of Technology in Computer Science from Vellore Institute of Technology, bringing technical expertise and a drive for innovation to the team. At Airbnb, focused on employing data-driven solutions to optimize processes and tackle complex challenges. Skilled in creating impactful solutions, with a demonstrated commitment to technological growth and problem-solving. Passionate about advancing capabilities in data science and machine learning to drive meaningful results.

Experience

Airbnb

3 roles

Software Engineer - 2

Promoted

Aug 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · Remote

Data ScienceMachine LearningData Structures

Software Engineer

Jul 2023 – Aug 2024 · 1 yr 1 mo · Bengaluru, Karnataka, India · Remote

Engineering Intern

Jan 2023 – Jul 2023 · 6 mos · Bengaluru, Karnataka, India · Remote

Amazon

Amazon ML Summer School

Jun 2022 – Jul 2022 · 1 mo · Remote

Learned about Probabilistic Graphical Models, Sequential Learning, Causal Inference, Reinforcement Learning, Dimensionality Reduction, Unsupervised Learning, and more.

Samsung r&d institute india

Research Intern

May 2022 – Oct 2022 · 5 mos · Bangalore Urban, Karnataka, India · Remote

My current project involves analyzing user browsing patterns and performing predictive analysis to model user patterns in order to recommend URLs based on user interest, categorization, and grouping of tabs based on genre and interest. Also analyzing downloaded files, grading them based on relevance and use, and finally recommending users to delete files. The deliverable involved would be a browser extension fulfilling all the aforementioned requirements.

Rbg labs, iit madras

Research Intern

May 2022 – Aug 2022 · 3 mos · Remote

My current assigned task involves working with GIS images to devise a metric for classifying their quality. I am also actively evaluating various tools and frameworks to optimize the data pipeline proposed, and reduce any performance bottlenecks. Finally, a proof of concept would be established on the devised algorithm.

Machine LearningPython (Programming Language)Data Science

Pixelvision

Data Science Intern

Nov 2021 – Feb 2022 · 3 mos · Gurugram, Haryana, India · Remote

Developing a Python Module for Crop Analysis of drone photos, made interactive using Django to give an optimized and user-friendly interface to analyze drone images. Using WebODM, FieldImageR, EarthPy, RasterIO, and several other technologies, to examine drone surveys.

Tezos developers community, vellore

Community Lead

May 2021 – Jan 2022 · 8 mos · Remote

Tezos india

Campus Ambassador

May 2021 – Jan 2022 · 8 mos · Remote

I've led Tezos Developers Community Vellore and helped and mentored students as they construct Tezos Blockchain-based projects. I've led and hosted numerous workshops, sessions, and a Hackathon.

Team fourth dimension

2 roles

Director

Promoted

Jan 2021 – Jan 2022 · 1 yr · Remote

Tech Team Member

Dec 2019 – Jan 2021 · 1 yr 1 mo · Remote

Iet on campus vit

4 roles

Technical Head

Jan 2021 – Jan 2022 · 1 yr

I've guided and mentored the team to organize, attend, and win various technical events and hackathons and hold in-core sessions to improve the team's skills and complete projects. During my time at the college, I have given over ten seminars on Machine Learning, Statistical Models, Computer Vision, Natural Language Processing, and the Application of Artificial Intelligence (AI). Open-source development has grown as a result of this encouragement.

Quantum Series Founder

Promoted

Jan 2021 – Jan 2022 · 1 yr

With the Quantum Series, I hope to bring more regular, in-depth events within the core. Workshops, discussions, and intense competition among peers are all possibilities.