Shreya Shahane

AI Researcher

Bangalore Urban, Karnataka, India1 yr 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expertise in deep learning and feature engineering.
  • Presented research at international conferences.
  • Contributed to innovative AI applications in agriculture.
Stackforce AI infers this person is a Data Scientist with a focus on AI applications in Agritech.

Contact

Skills

Core Skills

Microsoft AzureArtificial Intelligence (ai)Feature EngineeringModel BuildingData ScienceResearch Skills

Other Skills

Python (Programming Language)Analytical SkillsData AnalysisData OptimizationCommunicationTableauMicrosoft Power BIGraph Neural Networks (GNN)Convolutional Neural Networks (CNN)Generative Adversarial Networks (GANs)NeuroscienceSQLFuzzy LogicNoSQLBig Data Analytics

About

At EdgeSeanara, the pioneering "Cognitive-Based Quality Inspection of Fruits" project benefited from my expertise in feature engineering and model building. Tasked with developing deep learning models, I honed my skills in non-destructive techniques and data optimization, significantly contributing to the subclass identification and classification of fruits. My academic journey at the Global Academy of Technology, nearing culmination with a Bachelor of Engineering in AI and Data Science, anchors my analytical prowess. With presentations at esteemed conferences and several publications, my focus remains on advancing AI applications and empowering teams with actionable insights.

Experience

1 yr 8 mos
Total Experience
1 yr 8 mos
Average Tenure
1 yr 8 mos
Current Experience

Mu sigma inc.

2 roles

Trainee Decision Scientist 2

Jan 2026Present · 5 mos · Bengaluru, Karnataka, India · On-site

Trainee Decision Scientist 1

Oct 2024Jan 2026 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Microsoft AzurePython (Programming Language)

Edgeseanara

AI Intern

Oct 2023Jan 2024 · 3 mos · Bengaluru, Karnataka, India · Remote

  • Engaged in pioneering research within the "Cognitive-Based Quality Inspection of Fruits" project, focusing on non-destructive techniques, deep learning model selection and construction for subclass identification and classification of fruits. Conducted thorough texture analysis, feature engineering , data analysis and optimization.
Analytical SkillsArtificial Intelligence (AI)

Indian institute of science (iisc)

Presenter

Dec 2022Dec 2022 · 0 mo · Bengaluru, Karnataka, India · Hybrid

  • First paper presentation on "Periocular Biometrics : Advancing into the future" at IEEE International Conference for Women in Innovation, Technology and Entrepreneurship (ICWITE-2022) organized by IEEE Women in Engineering Bangalore Affinity Group
Research SkillsCommunication

Indian institute of information technology allahabad

Research Intern

Oct 2022Jan 2023 · 3 mos · Prayagraj, Uttar Pradesh, India · Hybrid

  • Machine Learning generative and discriminate Naive Bayes Classifier
Data AnalysisData Science

Education

Global Academy Of Technology

Bachelor of Engineering - BE — Artificial Intelligence and Data Science

Dec 2020Jul 2024

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