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BhagyasriUddandam/README.md

Bhagya Sri Uddandam

Hi There, I'm Bhagya Sri!

Applied AI & ML Enthusiast | Northeastern University

bhagyasriuddandam

🌱 I’m currently focused on enhancing my skills in Machine Learning, Deep Learning, and cloud technologies relevant to Data Science and Artificial Intelligence.

Portfolio


Connect with me:

bhagyasri-u linkedin Β Β  bhagyasriuddandam github Β Β  bhagyasriramarao instagram Β Β  bhagii vercel portfolio

πŸ† Accomplishments:

  • Recipient of Advanced AWS AI/ML Scholarship among Top 500 Students with Udacity (Summer Cohort 2024)
  • Qualified for the Amazon Web Services (AWS) AI/ML SCHOLARSHIP (Winter Cohort 2023) and received a USD 4000 sponsorship to attend Udacity's AI Programming with Python Nanodegree.
  • Selected as one of the top 500 participants for the AWS AI/ML Scholarship, displaying commitment and aptitude in AI/ML. Additionally, supported by Udacity's Advanced Machine Learning Nanodegree program.

πŸ“¦ Hackathon Achievement

πŸ† Finalist – AIRBUS | AIRBUS Aerothon 6.0 | Hacker Earth

πŸ† Top 500 scholar – AMAZON | Amazon Web Services (AWS) AI/ML SCHOLARSHIP | $4000 | 2 Nano Degrees- Udacity

πŸ”ΉSkyPulse

πŸ“„ Research Paper

πŸ“š Machine Learning Exploration of Bank Marketing Data with Apache Spark - IJRASET

[PAPER ID: IJRASE8T61287]

Following up on my interests in machine learning and big data, I explore various topics through research and practical applications. One such exploration is detailed in the paper titled

πŸ› οΈ Tech Stack

Languages & Frameworks:

javascript python typescript react flask scikit_learn tensorflow pytorch pandas cplusplus java html5 css3 plotly

Tools & Platforms:

aws azure googlecloud git linux docker kubernetes jenkins firebase mysql mssql oracle

GenAI:

OpenAI Hugging Face

πŸ“Š My GitHub Stats

Top Languages GitHub Streak

πŸ’» Projects:

  • Pioneered image classification using Python for advanced AI programming, achieving 95% accuracy in identifying and categorizing flowers.
  • Employed diverse floral datasets for precise categorization, optimizing the image classification pipeline for enhanced efficiency.
  • Transfer learning improved classification accuracy by 90% in predicting dog breeds.
  • Developed an efficient image classification system that obtained 95% accuracy in classifying over 10,000 photos.

WashIt Up - Laundry Service Website

  • Utilized Angular and React.js frameworks for front-end development, optimizing user experience with Bootstrap, resulting in a 25% increase in conversions and a 40% decrease in bounce rate.
  • Launched the website, achieving a 40% increase in online orders within the first month due to its user-friendly design and seamless payment integration.
  • Enhanced user satisfaction and retention, decreased page load time by 25%, and improved website performance through thorough testing and analysis.

Architecting a Virtual Private Cloud (VPC) Infrastructure on AWS

  • Created a scalable and secure AWS VPC infrastructure, incorporating network ACLs, security groups, subnets, NAT, internet gateways, and routing tables; increased system efficiency by 40% and security by 60%.
  • Configured VPC components such as VPN connections and Load Balancers, ensuring optimal performance and seamless communication.

🌐 Spoken Languages:

English Hindi Telugu Turkish German (Beginner) Italian (Beginner)

A Little More About Me:

I was born in Tata Nagar and raised in Visakhapatnam, India. I completed my schooling and undergraduate studies at GVPCEW and have lived here since then.

I love to travel; although I haven't traveled much in my adulthood, I really want to do it. I also enjoy learning new languages and have a passion for history, which are hobbies I cherish. Additionally, I indulge in binge-watching various sitcoms and KDramas.

Interests:

  • Travel
  • Learning New Languages
  • History
  • Binge-Watching Sitcoms and KDramas

Β© 2024 GitHub, Inc.

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  6. TSF-GRIP-ExploratoryDataAnalysis-Retail TSF-GRIP-ExploratoryDataAnalysis-Retail Public

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