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Saurabh S.

@Saurabhs6762

5,0
8
2,7
2,7
100%

✅ ML, ✅ AI, ✅ Data Science , ✅ Desktop , ✅ Web

$25 USD / giờ
・
Cờ của
India (6:41 SA)
・
Đã tham gia vào tháng 3 21, 2023
$25 USD / giờ
・
Full Stack Developer adept in Python, machine learning. Experienced in website development, cloud management (AWS, Azure), and database administration. Strong communicator and problem solver with a proactive mindset. Eager to apply skills and leadership to drive innovation as a Python Full Stack Developer or Machine Learning Engineer. ✅Frontend(HTML/CSS/React.js/Angular/JavaScript/GraphQl / Redux /JQuery) ✅ Backend ( Python (Django, Flask, FASTAPI) / NodeJs) ✅ Database ( MYSQL, MongoDB, PostgreSQL, Elastic Search (ES)) ✅ GUI development ( PYQT / Tkinter ) ✅ Web Scrapping ( BeautifulSoup / Selenium / Scrapy) ✅ Automation ( Selenium webdriver) ✅ Data Analysis & Visualization ( Numpy, Pandas /Matplotlib / Seaborn /Tablue) ✅ Data-Driven Web Apps (Plotly / Streamlit) ✅ Artificial intelligence / Machine learning (Scikit-Learn / Tensorflow/ keras/pytorch ) ✅ AWS (Amazon Web Services) ✅ AZURE
Xác thực
Đúng thời hạn
100%
Đúng ngân sách
84%
Tỉ lệ chấp nhận
71%
Freelancer Python Developers India
Xem tất cả về Python Developers tại India

Portfolio

Portfolio

11922283
I have extensive experience in designing relational and NoSQL databases to ensure data integrity, scalability, and optimal performance. My designs focus on efficient schema structuring, normalization, and indexing strategies to support robust data management and fast query execution.
Data Base Desgin
11887014
Web traffic Analysis using tablue framework
Web Traffic Analysis
11879743
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
11843611
Our House Loan Eligibility Prediction System, powered by Python Flask and Machine Learning, assesses user input to determine loan eligibility quickly and accurately. It features an intuitive interface where users input parameters like income, credit score, and loan amount. Utilizing advanced machine learning algorithms trained on historical data, the system provides dynamic predictions and transparent decision-making, empowering users to understand the factors influencing loan approval. Administrators can customize parameters to adapt to varying lending criteria. Built on a scalable architecture with stringent data security measures, the system ensures seamless integration with existing financial systems. With instant feedback on eligibility status and optimized decision-making processes, it offers a reliable solution for individuals and institutions alike, enhancing the loan application experience.
House Loan Eligibility Prediction System
Our House Loan Eligibility Prediction System, powered by Python Flask and Machine Learning, assesses user input to determine loan eligibility quickly and accurately. It features an intuitive interface where users input parameters like income, credit score, and loan amount. Utilizing advanced machine learning algorithms trained on historical data, the system provides dynamic predictions and transparent decision-making, empowering users to understand the factors influencing loan approval. Administrators can customize parameters to adapt to varying lending criteria. Built on a scalable architecture with stringent data security measures, the system ensures seamless integration with existing financial systems. With instant feedback on eligibility status and optimized decision-making processes, it offers a reliable solution for individuals and institutions alike, enhancing the loan application experience.
House Loan Eligibility Prediction System
Our House Loan Eligibility Prediction System, powered by Python Flask and Machine Learning, assesses user input to determine loan eligibility quickly and accurately. It features an intuitive interface where users input parameters like income, credit score, and loan amount. Utilizing advanced machine learning algorithms trained on historical data, the system provides dynamic predictions and transparent decision-making, empowering users to understand the factors influencing loan approval. Administrators can customize parameters to adapt to varying lending criteria. Built on a scalable architecture with stringent data security measures, the system ensures seamless integration with existing financial systems. With instant feedback on eligibility status and optimized decision-making processes, it offers a reliable solution for individuals and institutions alike, enhancing the loan application experience.
House Loan Eligibility Prediction System
Our House Loan Eligibility Prediction System, powered by Python Flask and Machine Learning, assesses user input to determine loan eligibility quickly and accurately. It features an intuitive interface where users input parameters like income, credit score, and loan amount. Utilizing advanced machine learning algorithms trained on historical data, the system provides dynamic predictions and transparent decision-making, empowering users to understand the factors influencing loan approval. Administrators can customize parameters to adapt to varying lending criteria. Built on a scalable architecture with stringent data security measures, the system ensures seamless integration with existing financial systems. With instant feedback on eligibility status and optimized decision-making processes, it offers a reliable solution for individuals and institutions alike, enhancing the loan application experience.
House Loan Eligibility Prediction System
11922283
I have extensive experience in designing relational and NoSQL databases to ensure data integrity, scalability, and optimal performance. My designs focus on efficient schema structuring, normalization, and indexing strategies to support robust data management and fast query execution.
Data Base Desgin
11887014
Web traffic Analysis using tablue framework
Web Traffic Analysis
11879743
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
In the prescription management system, users can upload their prescriptions in any document format and have the ability to edit or delete their information and documents. The system caters to two types of users: the administrator, who enjoys full access, and regular users, who have limited access. Our website is designed to be user-friendly and straightforward, utilizing HTML, CSS, JavaScript, and Django to ensure a seamless experience for all users.
prescription management system
11843611
Our House Loan Eligibility Prediction System, powered by Python Flask and Machine Learning, assesses user input to determine loan eligibility quickly and accurately. It features an intuitive interface where users input parameters like income, credit score, and loan amount. Utilizing advanced machine learning algorithms trained on historical data, the system provides dynamic predictions and transparent decision-making, empowering users to understand the factors influencing loan approval. Administrators can customize parameters to adapt to varying lending criteria. Built on a scalable architecture with stringent data security measures, the system ensures seamless integration with existing financial systems. With instant feedback on eligibility status and optimized decision-making processes, it offers a reliable solution for individuals and institutions alike, enhancing the loan application experience.
House Loan Eligibility Prediction System
Our House Loan Eligibility Prediction System, powered by Python Flask and Machine Learning, assesses user input to determine loan eligibility quickly and accurately. It features an intuitive interface where users input parameters like income, credit score, and loan amount. Utilizing advanced machine learning algorithms trained on historical data, the system provides dynamic predictions and transparent decision-making, empowering users to understand the factors influencing loan approval. Administrators can customize parameters to adapt to varying lending criteria. Built on a scalable architecture with stringent data security measures, the system ensures seamless integration with existing financial systems. With instant feedback on eligibility status and optimized decision-making processes, it offers a reliable solution for individuals and institutions alike, enhancing the loan application experience.
House Loan Eligibility Prediction System
Our House Loan Eligibility Prediction System, powered by Python Flask and Machine Learning, assesses user input to determine loan eligibility quickly and accurately. It features an intuitive interface where users input parameters like income, credit score, and loan amount. Utilizing advanced machine learning algorithms trained on historical data, the system provides dynamic predictions and transparent decision-making, empowering users to understand the factors influencing loan approval. Administrators can customize parameters to adapt to varying lending criteria. Built on a scalable architecture with stringent data security measures, the system ensures seamless integration with existing financial systems. With instant feedback on eligibility status and optimized decision-making processes, it offers a reliable solution for individuals and institutions alike, enhancing the loan application experience.
House Loan Eligibility Prediction System
Our House Loan Eligibility Prediction System, powered by Python Flask and Machine Learning, assesses user input to determine loan eligibility quickly and accurately. It features an intuitive interface where users input parameters like income, credit score, and loan amount. Utilizing advanced machine learning algorithms trained on historical data, the system provides dynamic predictions and transparent decision-making, empowering users to understand the factors influencing loan approval. Administrators can customize parameters to adapt to varying lending criteria. Built on a scalable architecture with stringent data security measures, the system ensures seamless integration with existing financial systems. With instant feedback on eligibility status and optimized decision-making processes, it offers a reliable solution for individuals and institutions alike, enhancing the loan application experience.
House Loan Eligibility Prediction System
Đã lưu thay đổi
5.0 · 8 Reviews
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Machine Learning Developer for Error Solving in Fraud Credit Card Detection System • ₹850 INR
The machine learning error-solving project was completed flawlessly within just 2 hours, demonstrating exceptional efficiency and precision. The solutions were implemented with expert-level accuracy, resolving all issues seamlessly. An outstanding example of skill and speed in action.
Jo A.
@JoAsh07
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Cờ của
Kolhapur, India
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2 tháng trước
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Data Augmentation Using Python • $20 AUD
Great work. good communication and expert in the subject
Redeaglelife
@Redeaglelife
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Burwood East, Australia
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5 tháng trước
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Python Specialist for Simple Data Analysis • $35 USD
Very Genuine work, completed task in 3 hours
Amulya B.
@Shruthi0008
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Beech Grove, United States
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5 tháng trước
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