MERN STACK

@saba106

I am an expert statistician, Research Writer, and data analyst with more than eight years of experience. I have full command of Excel analysis, SPSS, STATA, R LANGUAGE, AND PYTHON. I am an expert in creating time series prediction models, working with survey data, conducting marketing analysis, building estimators, and medical analysis. I am a perfect match for your project share other details of the work so I can start working on your project. Will complete task on time.

@avinashdubeyg209

Hi there, I am an ML engineer. I can start right away and deliver within the deadline. So, Let’s have a quick conversation. I can be more specific once we get all the requirements and information required to execute the project. Thank you!!

@anchalsingh0005

As an accomplished and highly enthusiastic AI/ML developer, I believe I am the best pick for your research project. With over 7 years of experience, I have honed my skills in Python; a language I consider my native. Throughout my career, I have consistently demonstrated an insatiable appetite for new technologies and innovative challenges - a trait that is at the very core of your project's requirements. One of the key aspects of any ML/AI project is data preprocessing and exploratory data analysis (EDA), skills I've honed to art. I am highly adept at feature engineering using Python libraries like NumPy, Pandas, Scikit-learn amongst others. Additionally, model implementation and evaluation have been my forte - be it Regression models such as Logistic Regression or ensemble models like Random Forest or even complex Deep Learning models like CNN or LSTM. Having worked on challenging projects involving Statistical techniques, ML algorithms and Computer Vision, I have an intuitive knack for problem-solving which has equipped me with an astute understanding of how to deal with novelty-based tasks. As an added bonus, I firmly believe that clean code and proper documentation are critical enablers for future improvements and insights within a work. Thus, committing to provide well-documented Python code accompanied by comprehensive performance metrics elucidating your project's outcomes will be a top priority for me.

@NaveenSingh09

Hello, With over four years of full‑stack Python development, I’ve delivered robust data‑driven solutions using Flask, Django, and FastAPI. For this research project, I’ll begin by cleaning and engineering features in Pandas, then conduct exploratory analysis with Seaborn to uncover patterns. I’ll implement and benchmark Logistic Regression, Random Forest, SVM, XGBoost, and a neural network built in TensorFlow, evaluating each with accuracy, precision, recall, F1, confusion matrices, and ROC‑AUC. Results will be visualized and documented in clear, reproducible Python scripts. I previously built a predictive model for patient readmission rates and a time‑series forecasting tool for retail sales, both published in peer‑reviewed journals. I’m ready to start immediately and efficiently and would love to discuss how this approach fits your research goals. Best Regards Naveen Thakur

@lalitdeveloper7

Hi I can build and evaluate multiple machine learning models for your research project, including data preprocessing, feature engineering, EDA, and comparison of models such as Logistic Regression, Random Forest, SVM, XGBoost, and deep learning approaches if needed. The deliverables will include well-documented Python code, clear evaluation metrics with visualizations, and optional explainable AI analysis using SHAP or LIME for better model interpretation. Please let me know further. Thanks

@rabialiaquat1997

I am an experienced Python and machine learning developer with strong expertise in building and evaluating models using Scikit-learn, TensorFlow, and PyTorch. I can handle data preprocessing, EDA, feature engineering, and implement models such as Logistic Regression, Random Forest, SVM, XGBoost, and deep learning models with proper evaluation and visualizations. I will provide clean, well-documented code, model comparisons, and can also suggest novelty-based research topics suitable for publication. Samples are attached

@hassam945

As an AI and ML developer with a focus on research-level projects, I'm confident I have the skills and experience you're looking for. Equipped with a Bachelor of Science degree in Software Engineering and a strong understanding of the principles of Artificial Intelligence, Machine Learning, and Deep Learning, I possess the breadth and depth to handle your project effectively. Throughout my career, I've successfully tackled diverse challenges spanning Computer Vision, NLP, Video Analysis, Pose Estimation, and 3D Medical Imaging. To address your project's requirements intimately, I am proficient in Python and libraries such as NumPy, Pandas and seaborn. Versed across models like ANNS, CNNs, RNNs, LSTMs, Transformers, GANs, Vision Transformers (ViTs), my knowledge extends from data preprocessing to model optimization and establishment of other trained smart systems into real-world applications. Moreover, I have hands-on experience working with TensorFlow and PyTorch ensuring my ability in implementing complex models. My work in healthcare includes developing Diabetic Retinopathy Classification and 3D Medical Image Analysis systems which achieved high diagnostic accuracy. Alongside that, I have crafted solutions for projects resembling yours - conducting end-to-end data analysis on raw datasets - cleaning, transforming and visualizing insights to inform predictive modeling.

@ffulb

Hey! This MERN project for academic purposes sounds familiar; I've built

@HemantManglani01

Hello, I’m Hemant Manglani, a Senior Python Backend Engineer with 5+ years of hands-on experience in building scalable and reliable software systems. I mainly work on MERN Tech, cloud-based systems, and real-time applications. I have worked with startups, product-based companies, and as a freelancer. I usually handle projects end to end from understanding requirements and designing the system to deployment, monitoring, and performance improvement. I like building systems that are stable, easy to maintain, and useful for real business needs. I would love to join your team and discuss more on the project requirements. If sounds good we connect to dicsuss more on that. Best Regards, Hemant

@Hemantt841

I understand you require an AI/ML developer to build and evaluate various machine learning models, including Logistic Regression, Random Forest, SVM, XGBoost, and potentially deep learning models like CNN or LSTM, while ensuring thorough data preprocessing and feature engineering. You also need clear Python code with proper documentation and evaluation metrics such as accuracy, precision, recall, and ROC-AUC. With over 15 years of experience and more than 200 projects completed, I specialize in Python-driven AI development, including data analysis with NumPy and Pandas, machine learning using scikit-learn, and deep learning frameworks like TensorFlow and PyTorch. My background includes delivering research-focused solutions with clean, well-documented code and visualizations using Matplotlib and Seaborn. For your project, I will start with exploratory data analysis and preprocessing to prepare the dataset, then build and compare the specified models using a structured workflow. I’ll evaluate their performance with the requested metrics and provide visualizations and explanations. If needed, I can also integrate explainability techniques like SHAP or LIME. I aim to deliver the initial results within a week, ensuring clarity and usability for your research. Feel free to reach out so we can discuss your project details and goals further.

@PyMLExpert1

With a strong background in AI/ML/DL, I have the skills necessary to tackle your research project from end-to-end. I am well-versed in Python, NUMPy, Pandas, Scikit-learn, TensorFlow and PyTorch - these libraries help me build intelligent models and evaluate them through performance metrics you've specified like accuracy, F1-Score, ROC-AUC etc. Over the years, I have implemented various ML models like Logistic Regression, Random Forest, Support Vector Machine, XGBoost and Deep Learning models such as CNN and LSTM when required. Utilizing these models have allowed me to develop powerful and efficient solutions for numerous clients' real-world problems. Furthermore, I carry out data preprocessing and feature engineering with precision ensuring data integrity. What sets me apart is my ability to translate complex research-based projects into user-friendly solutions while maintaining clean code and optimal performance. Additionally, I understand the vital importance of proper documentation; therefore, you can expect thorough details on methodology and well-documented Python code alongside elaborate visualizations for model comparison results and evaluation metrics. Novelty-based topics are my forte and I am eager to lend my expertise in this domain to your project. Let's collaborate and set new milestones in AI/ML/DL research!

@ahmetTC

Hope you are doing well! Extensive experience developing MERN Stack applications with React.js frontends, Node.js/Express.js backends, and MongoDB databases, including user authentication, CRUD operations, and dashboard functionality. Past projects required clean, modular code structure with proper comments and responsive UI design to ensure usability across devices. Common challenges such as secure authentication, state management, and database indexing were addressed using best practices in JWT, Redux, and MongoDB schema design. Source code, inline documentation, and brief setup guides have been delivered in previous projects to allow smooth hand-off and academic evaluation. I know what do I build for you, can complete it to your full satisfaction within your timeline. I am ready for you and waiting here. Thank you.

@armaanr52

Hi, Your project aligns well with the type of AI/ML work I regularly handle, particularly research-focused model development and evaluation in Python. I can build a complete pipeline starting from data preprocessing and exploratory data analysis to feature engineering, model training, and performance evaluation. I will implement and compare multiple machine learning models including Logistic Regression, Random Forest, Support Vector Machines, and XGBoost, ensuring that each model is properly tuned and evaluated. If the dataset requires deeper pattern extraction, I can also develop deep learning models such as CNN or LSTM using TensorFlow or PyTorch. For evaluation, I will generate clear performance metrics including Accuracy, Precision, Recall, F1-score, Confusion Matrix, and ROC-AUC. The results will be presented with clean visualizations using Matplotlib and Seaborn so that the comparisons between models are easy to interpret. To make the research more insightful, I can also integrate Explainable AI techniques such as SHAP or LIME to show which features influence the model’s predictions. You will receive well-structured, well-documented Python code using libraries like NumPy, Pandas, and Scikit-learn, along with a concise explanation of the methodology and model comparison results. I would be happy to discuss your dataset and research goals so we can choose the most suitable modeling approach. Looking forward to working with you.

@sumanm596

Hello, Greetings! I have gone through your project details and I want to know more about this project. I have a team member who is doing research work in ML. Let’s connect and discuss more about this. Thanks Suman

@mayankrajoriya20

I can do this project best because, i have done some projects in Machine Learning and this is also beneficial for me as a engineering student, This project help me to increase my skill experience.

@janshir9

Data Scientist with 5+ yrs exp building ML models (25% accuracy boost via scikit-learn/NumPy/Pandas). Expert in Python preprocessing, EDA, Logistic Reg/RF/SVM/XGBoost + full evaluation (F1/ROC-AUC/Confusion Matrix/viz). Delivered documented research models + SHAP explainability. Clean code guaranteed. Available immediately!

@prajaktag16

Hello, I am a Computer Engineering student with hands-on experience in machine learning model development, research workflows, and Python-based data analysis. I can build and evaluate multiple ML models while ensuring clean, reproducible code suitable for research projects. For your project I can: • Perform data preprocessing, feature engineering, and EDA • Implement and compare models including Logistic Regression, Random Forest, SVM, and XGBoost • Evaluate models using Accuracy, Precision, Recall, F1-score, Confusion Matrix, and ROC-AUC • Provide well-documented Python code using Pandas, NumPy, Scikit-learn, and visualization libraries • Deliver clear model comparison results and methodology documentation Relevant Experience • Built an ML pipeline for pancreatic cancer subtype prediction (~90% accuracy) using transcriptomic data. • Developed a predictive maintenance model for automotive brake lamps, improving failure detection recall from 20% to 83% using XGBoost. • Conducted trader behavior analysis and profitability prediction using logistic regression. • Research intern at Bioinformatics Centre, SPPU, working on ML analysis of high-dimensional biological datasets. • Author of an IEEE conference publication on ML-based cancer subtype classification. I would be happy to review the dataset and discuss the best modeling strategy for your research project. Available immediately! Best regards, Prajakta

@dimisv

Hi, I'm a backend developer with 15+ years of experience, and over the past few years I've expanded into data engineering and machine learning — most recently completing a Data Analyst Bootcamp (2025) and applying ML/data modeling in production environments. For this project, I can deliver: • EDA, data preprocessing & feature engineering using Pandas and NumPy • Model implementation & comparison: Logistic Regression, Random Forest, SVM, XGBoost, and Deep Learning (CNN/LSTM via TensorFlow/PyTorch) • Full evaluation suite: Accuracy, Precision, Recall, F1, Confusion Matrix, ROC-AUC, with Matplotlib/Seaborn visualizations • Explainable AI using SHAP for model interpretation (preferred option) • Clean, well-documented Python code structured for research use My background in building data pipelines with Python and pandas (processing thousands of records daily in previous roles) gives me a solid foundation for the preprocessing and engineering side of this work. I take documentation seriously and deliver code that's readable and reproducible.

@maneeshk61

Project Proposal — AI/ML Model Development & Evaluation I’m an AI/ML developer with strong experience in Python-based machine learning, model evaluation, and research workflows. I can build, train, and compare multiple ML models including Logistic Regression, Random Forest, SVM, XGBoost, and deep learning models (CNN/LSTM if required). My workflow includes: • Data preprocessing, feature engineering, and detailed EDA • Clean, modular Python implementation using NumPy, Pandas, Scikit-learn, and TensorFlow/PyTorch • Robust evaluation using Accuracy, Precision, Recall, F1-score, ROC-AUC, and Confusion Matrix • Clear visualizations with Matplotlib/Seaborn • Model comparison reports with performance insights • Optional Explainable AI using SHAP/LIME for interpretability I prioritize research-grade code quality, documentation, and reproducibility. I’ve completed similar ML research and analytics projects involving model benchmarking, feature optimization, and performance tuning. I can deliver well-structured code, results, visual reports, and methodology documentation within deadline.