I will do machine learning projects
Machine Learning, Quantitative Finance, Data
About this Gig
Hi! Im Aniket Wathore, experienced machine learning specialist who loves breaking down complex problems into smart, efficient code. Im a big fan of analytical thinking and enjoy the challenge of making models work exactly the way they should, whether thats predicting the next big trend or spotting objects in a frame.
I help students (high school to university) nail their academic projects and build enterprise-level solutions for real-world business needs. If you need a custom model thats fast, lightweight, and actually works, Im your guy.
What I Do
- Machine Learning: Regression, Classification (Random Forest, SVM, KNN), Clustering, XGBoost, and Predictive Analytics.
- Deep Learning: CNNs, RNNs, LSTMs for Computer Vision (Object Detection/Segmentation) and Sequence modeling using TensorFlow or PyTorch.
- Data Science: Everything from messy data cleaning and EDA to Web Scraping, Sentiment Analysis, and Time Series.
I specialize in squeezing high performance out of tight resource constraints. Lets build something cool together drop me a message and let's get started!
Programming language:
Python
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SQL
Frameworks:
Scikit-learn
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SimpleCV
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Keras
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PyTorch
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Panda
Tools:
Jupyter Notebook
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OpenCV
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OpenNN
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TensorFlow
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Excel
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Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Can you help me explain the code for my university project or viva?
Absolutely! If you’re a student, I don’t just deliver the code; I provide a clear walkthrough. I’ll explain the logic behind the choice of algorithms (like why we used Random Forest over SVM) and how the evaluation metrics work so you can present your project with total confidence.
Which libraries and tools do you typically use?
My primary stack includes Python (Pandas, NumPy, Scikit-learn) for core ML, and TensorFlow/PyTorch for Deep Learning. For specialized enterprise projects, I use C++ and WASM for high-performance edge deployment, and OpenCV for computer vision tasks.
Do you provide documentation and a final report?
Yes. Every project includes well-commented code. For enterprise solutions, I provide technical documentation. For students, I can provide a structured project report including Exploratory Data Analysis (EDA), model performance graphs (Accuracy/Loss curves), and a summary of findings.
Can you integrate ML models into our existing infrastructure?
Yes. I don't just build models in isolation. I can deliver solutions as REST APIs (using FastAPI or Flask), Docker containers for easy cloud deployment, or as WASM modules for direct browser integration. I ensure the model fits seamlessly into your current tech stack with minimal friction.
