stymrj Goto Github PK

followers: 10.0 following: 11.0 repos: 31.0 gists: 1.0

Name: Satyam Raj

Type: User

Company: DIT University, Dehradun

Bio: Learning new skills every day to achieve the pinnacle of perfection.

Twitter: stymrj_

Location: Dehradun

Blog: asksatyam.in

𝐇𝐞𝐥𝐥𝐨, <𝚌𝚘𝚍𝚎𝚛𝚜/👋 !

This is Satyam Raj 👋

🌱 Learning Something New Everyday...
🔭 Highly interested in Cloud Computing and Programming..
🌱 Currently learning more about Blockchain.
🔭 I’m currently working on improving my development skills
👯 I’m looking to make more friends.
⚡ I’m looking for help with contributing to open source projects
💬 Ask me about tech related stuffs at

Connect With Me

I'm a programmer and an insightful learner who is passionate about growing in teams with dreams.

Let's be friends and get connected!!

About Me

🌱 I’m currently learning [],
I am passionate to learn new technologies. I am persistent,focused to learn new things and create an opportunity to implement those. I have preferred to work in teams and find that collaborative nature is one of my strongest attribute.I love to work on projects and work on real world problems. I am an enthusiastic and social person who loves to take up new challenges and learn new skills. I love meeting new people, exchanging ideas and spreading knowledge and positivity. With a keen interest in coding and programming, aiming to build a career in the field of Software Developments.
📫 How to reach me:

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📈 Stats

Support:

Satyam Raj's Projects

This project aims to develop a customer segmentation system using three different clustering algorithms: DBSCAN, K-Means, and Model-Based Clustering. The system is designed to help businesses identify distinct customer groups based on their purchasing behaviors, demographics, or any other relevant features.

design-development-of-blockchain-technologies

dit-projects

Projects which i have submitted during my academic years

frt-project

gender-age-prediction

This project focuses on gender and age detection using the UTK Crop Faces dataset. The goal is to accurately classify the gender and approximate age group of individuals based on facial images.