You will get a custom AI/ML model with accurate, scalable, and ready-to-use results.
Project details
You will get a fully customized Machine Learning or Deep Learning solution designed to turn your raw data into actionable insights and reliable predictions. With a 1 year of professional experience as a Data Scientist, I specialize in building end-to-end AI/ML pipelines. This includes data preprocessing, feature engineering, exploratory data analysis, model training, evaluation, and deployment. I work with popular frameworks like TensorFlow, Keras, PyTorch, and Scikit-Learn to deliver scalable and production-ready solutions. My services cover a wide range of tasks such as image classification, object detection, sentiment analysis, time series forecasting, and predictive modeling. Every project I deliver comes with clean, well-documented code and a clear explanation of results. Data confidentiality and client satisfaction are my top priorities, and I ensure that the solution is tailored to meet your specific business goals.
Machine Learning Tools
ChatGPT, GitHub Copilot, Keras, Microsoft Power BI, MLflow, NumPy, OpenCV, pandas, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$90
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 3 | 5 | 9 |
Number of Model Variations | 3 | 5 | 9 |
Number of Scenarios | 3 | 5 | 9 |
Number of Graphs/Charts | 5 | 8 | 14 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $30
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$10
Additional Scenario
(+ 1 Day)
+$10
Additional Graph/Chart
(+ 1 Day)
+$5
Model Documentation
(+ 1 Day)
+$5
Data Source Connectivity
(+ 1 Day)
+$10
Source Code
(+ 1 Day)
+$10Frequently asked questions
About Kaushal
Data Science and AI / ML Engineer
Ahmedabad, India - 6:16 am local time
Hello! I’m Kaushal, an AI/ML Engineer and Data Scientist with strong expertise in building end-to-end solutions using Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing (NLP). My background in Software Engineering combined with hands-on experience in real-world projects allows me to design intelligent systems that are accurate, scalable, and production-ready.
🔹 What I Do Best
Data Science & Analytics: Data cleaning, preprocessing, feature engineering, statistical analysis, and exploratory data analysis with rich visualizations.
Machine Learning: Classification, regression, clustering, predictive modeling, feature selection, and model evaluation using Scikit-Learn, XGBoost, Random Forests, and SVM.
Deep Learning & AI: CNNs, RNNs, LSTMs, Transformers, and custom architectures using TensorFlow, Keras, and PyTorch.
Computer Vision: Image classification, object detection, image segmentation, satellite image analysis, and domain-specific vision tasks.
NLP & Time Series: Sentiment analysis, text classification, and forecasting models.
Deployment: Deploy ML/DL models into Flask, FastAPI, or Streamlit apps for real-world usability.
🔹 Tools & Frameworks
Python | TensorFlow | Keras | PyTorch | Scikit-Learn | Pandas | NumPy | Matplotlib | Seaborn | OpenCV
🔹 Why Work With Me?
✔️ Strong foundation in AI/ML algorithms.
✔️ Ability to handle both small-scale research projects and large datasets
✔️ Clear communication, well-documented deliverables, and on-time results
✔️ Focused on tailoring solutions to each client’s unique problem
💡 Whether you need a machine learning model, AI-driven solution, or a complete data science pipeline, I’ll help you bring your ideas to life with quality and precision.
📩 Let’s connect and discuss how I can help with your project!
Steps for completing your project
After purchasing the project, send requirements so Kaushal can start the project.
Delivery time starts when Kaushal receives requirements from you.
Kaushal works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & scope
Confirm goals, use cases, success metrics, and deliverables.
Data access & audit
Securely receive data; check quality, schema, leakage, imbalance.