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S84v/README.md

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📝 About Me

Adept in Python and Machine Learning, with a knack for analytical thinking and problem-solving. Excelling in delivering high-quality solutions across diverse global markets, ensuring client satisfaction. Skilled in machine learning and data science, consistently fostering team collaboration and professional growth.

Professional Summary

  • 🔧 Skilled in handling large, complex databases and maintaining production-grade code.
  • 🧠 Analytical mindset for identifying problems and implementing solutions.
  • 🤝 Experienced in collaborating with cross-functional teams to deliver high-quality solutions on time.
  • 💬 Strong communication skills for client interaction and issue resolution.
  • 📈 Dedicated to maintaining a high quality of solutions and ensuring client satisfaction.

Skill Set

Technical Skills

Programming
Python NumPy
scikit-learn SQL
Pandas Optuna
Exploratory Data Analysis Feature Engineering

Supervised Machine Learning
1. XGBoost 9. K Nearest Neighbors (KNN)
2. LightGBM 10. Logistic Regression
3. Gradient Boosted Decision Trees (GBDT) 11. Linear Regression
4. Boosting 12. Lasso Regression
5. Bagging 13. Ridge Regression
6. Random Forest 14. ElasticNet Regression
7. AdaBoost 15. Decision Trees
8. Support Vector Machines (SVM)

Unsupervised Machine Learning
KMeans Clustering
Agglomerative Hierarchical Clustering
Density-Based Spatial Clustering of Applications with Noise (DBSCAN)
Principal Component Analysis (PCA)

Data Visualization
Plotly.js
seaborn
matplotlib
Tableau

Soft Skills

Non-tech skills
💬 Communication 🎯 Problem-Solving
🔄 Adaptability 📈 Business Acumen
⏰ Time Management 🛡️ Data Ethics
🧐 Analytical thinking 🔍 Attention to detail
🎨 Creativity 👥 Teamwork

Education

🎓 Bachelor of Engineering in Computer Engineering, Mumbai University, 2021

Certifications


🌐 Socials:

LinkedIn Kaggle

💻 Tech Stack:

Languages

Python

Libraries

scikit-learn Pandas
NumPy Plotly
Matplotlib

Other Technologies

Visual Studio Code Microsoft Excel
Jupyter Notebook Markdown
Kaggle Notepad++
GitHub Windows
Git Windows Terminal

📊 GitHub Stats:


🔝 Top Contributed Repo

🧑‍💻 Coding Stats

S84v's WakaTime stats

✍️ Random Dev Quote

🤝 Connect with Me

GitHub LinkedIn Kaggle Gmail

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  1. Customer-segmentation-clustering Customer-segmentation-clustering Public

    Project to demonstrate various clustering algorithms for customer segmentation.

    Jupyter Notebook

  2. credit-risk credit-risk Public

    This project focuses on analyzing credit risk to predict the likelihood of default on loans. It leverages various data analysis and machine learning techniques to assess borrower risk.

    Jupyter Notebook

  3. oil-and-gas-prediction oil-and-gas-prediction Public

    This project provides a thorough analysis of the crude oil production data from the Volve field, offering valuable insights into production trends and future forecasts.

    Jupyter Notebook 1