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Suraj-singh048/README.md

Hi there 👋

💻 Suraj Singh

🚀 Data Analytics | Machine Learning | Visualization Expert

Portfolio
LinkedIn
GitHub

🎓 About Me

Hi! I'm Suraj Singh, a Data Analytics Enthusiast and Machine Learning Specialist, currently pursuing a B.Tech in Computer Science and Engineering at the Central University of Haryana (Graduating in 2025, GPA: 8.3). I love transforming data into actionable insights, building predictive models, and creating impactful visualizations.

  • 🧑‍💻 Open to internships and full-time roles in Data Science, Machine Learning, and Analytics.
  • 🌐 Constant Learner exploring Deep Learning, Cloud Computing, and MLOps.

🔥 Highlights

🚀 Professional Experience

  • Research Intern (NIT Kurukshetra)

    • Enhanced Gen-AI recommendation accuracy by 15%.
    • Conducted advanced data analysis and evaluation of AI models.

  • Data Analyst Intern (ECom Express)

    • Analyzed 1,000+ data points, improved decision-making efficiency by 20%.
    • Built classification and regression models using Scikit-Learn, PyTorch, and TensorFlow.

  • Business Analyst (Uolo.com | Internship, Dec 2024 - Present, Gurugram, Haryana, India)

    • Built a chatbot for Uolo’s EdTech platform, reducing manual support inquiries by 30%.
    • Streamlined the data pipeline for chatbot analytics, cutting data processing time by 40%.
    • Automated repetitive data analysis tasks, freeing team bandwidth for strategic initiatives.

🛠️ Skills

  • Programming & Data Processing: Python, R, SQL, MySQL, PostgreSQL
  • Visualization Tools: Tableau, Power BI, Excel, Matplotlib, Seaborn
  • Machine Learning & AI: Scikit-Learn, TensorFlow, PyTorch
  • Tools for Workflow: ETL Pipelines, Data Mining, Figma, Adobe XD
  • Additional Interests: MLOps, Docker, AWS (S3, EC2), GCP

📂 Featured Projects

📊 1. Next-Gen Recommendation System

🎯 Cross-domain and session-based recommendations for personalized experiences.
🔗 Repository Link

📝 2. Free ATS Scorer

✅ An open-source tool to evaluate résumés based on ATS (Applicant Tracking System) criteria.
🤝 Helps job seekers optimize their résumés for better visibility and higher interview rates.
🔗 Repository Link

📈 3. User Engagement Tracker

📊 Tracked user trends post-platform updates, leveraging SQL, Python, and Excel.
🔗 Repository Link

❤️ 4. Heart Disease Predictor

📉 Simplified early detection with 92% model accuracy for proactive health interventions.
🔗 Repository Link

Explore all repositories (👨‍💻 15+ Repositories).

🎓 Certifications

  1. Google Data Analytics (Coursera)
  2. Machine Learning with Python (IIT Delhi - NPTEL)
  3. Data Analytics with Python (IIT Madras - NPTEL)
  4. Data Science for Engineers (IIT Madras - NPTEL)
  5. Advanced R for Business Analytics (IIT Kanpur - NPTEL)
  6. UI/UX Design (Google - Coursera)

📈 Visuals & Insights

📌 GitHub Stats

GitHub Stats
Top Languages

📌 GitHub Summary

  • 🌟 Repositories: 15+
  • 🏆 Commits in 2024: 50+ (and growing!)
  • 💻 Projects Focused on Analytics & ML: 10+

📌 Skills Overview

  • Data Processing: Python, SQL
  • Visualization: Tableau, Power BI
  • Machine Learning: TensorFlow, PyTorch

🌟 Leadership & Contributions

  • Chapter Lead (Google Developer Group)
  • Designing Head (Coding Ninjas, 2023)
  • Active Open Source Contributor

🌐 Contact Me

✉️ Email: [email protected]
📱 Phone: +91 9870374339

Thank you for visiting my profile! Feel free to connect, collaborate, or discuss opportunities in Data Science, Machine Learning, or Analytics.

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  1. Dog-Breed-Recognition-Using-Deep-Learning Dog-Breed-Recognition-Using-Deep-Learning Public

    This project focuses on developing a deep learning model capable of accurately recognizing dog breeds from images. Utilizing Convolutional Neural Networks (CNNs), the model is trained on a dataset …

    Jupyter Notebook

  2. Heart-Disease-Predictor Heart-Disease-Predictor Public

    Leveraging the power of Machine Learning models, our app provides accurate predictions about the likelihood of heart disease, with accuracy rate of 92%. Addressing the challenge of early detection …

    Jupyter Notebook

  3. Customer_Segmentation_Analysis Customer_Segmentation_Analysis Public

    The goal of this analysis is to explore if the acquisition channel (e.g., Twitter, Instagram, etc.) has any correlation with how much students engage with the learning content, as measured by metri…

    Jupyter Notebook

  4. Next_Gen_Recomendation_Systems Next_Gen_Recomendation_Systems Public

    We developed three distinct recommendation systems, each exploring a different approach and catering to unique use cases.

    Jupyter Notebook 1

  5. Tracking-User-Engagement-with-SQL--Excel--and-Python Tracking-User-Engagement-with-SQL--Excel--and-Python Public

    This project aims to analyze user engagement on our company’s platform, especially following several new feature releases at the end of 2021. By leveraging SQL, Excel, and Python.

    Jupyter Notebook

  6. Free-ATS-Scorer Free-ATS-Scorer Public

    Free ATS Scorer is a web application that compares candidate resumes against a given job description. It uses NLP techniques (via NLTK), fuzzy matching, weighted skills, and TF-IDF cosine similarit…

    Python