You will get a trained and deployed machine learning model with a live API
Project details
You will get a trained machine learning model that actually gets evaluated honestly and, if you choose, deployed live — not just a notebook that sits unused.
I bring 25 years of civil engineering and field survey experience, currently as Survey Manager on India's Mumbai–Ahmedabad Bullet Train (MAHSR) project. I applied that same rigor to a deployed ML model: while validating it, I found the score looked suspiciously good, traced it to data leakage in my own feature set, and reported the honest result instead of the inflated one. That model is now live on Google Cloud Run.
I bring the same standard to your project — train the right model for your data, evaluate it against a real baseline, and tell you plainly what the numbers do and don't mean. If you need it live, I wrap it in FastAPI and deploy it to Cloud Run with a real public endpoint.
Most freelancers hand you a notebook. I hand you a working result you can actually check yourself, and if you need it, a link you can click.
I bring 25 years of civil engineering and field survey experience, currently as Survey Manager on India's Mumbai–Ahmedabad Bullet Train (MAHSR) project. I applied that same rigor to a deployed ML model: while validating it, I found the score looked suspiciously good, traced it to data leakage in my own feature set, and reported the honest result instead of the inflated one. That model is now live on Google Cloud Run.
I bring the same standard to your project — train the right model for your data, evaluate it against a real baseline, and tell you plainly what the numbers do and don't mean. If you need it live, I wrap it in FastAPI and deploy it to Cloud Run with a real public endpoint.
Most freelancers hand you a notebook. I hand you a working result you can actually check yourself, and if you need it, a link you can click.
Machine Learning Tools
Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlowWhat's included
| Service Tiers |
Starter
$120
|
Standard
$220
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 2 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
Frequently asked questions
About Venkataramanaiah
25yr GIS Expert + ML/GeoAI | ArcGIS Pro | QGIS | GEE | PostGIS
Narasaraopet, India - 12:41 am local time
QGIS · GEE · PostGIS · Python · TensorFlow · FastAPI · Cloud Run
When your project needs maps that decision-makers can trust — not just pretty visuals — that's where I come in. And when it needs a working model, not just a notebook, I ship that too.
I am a GIS Expert, Civil Survey Engineer, and GeoAI practitioner with 25 years of field-to-cloud experience, including India's Bullet Train corridor (L&T MAHSR, 45 km C3 Section). I deliver satellite analysis, spatial databases, hazard maps, and deployed machine learning models that are technically precise AND ground-truth verified.
⚙️ What I Deliver
🗺️ Flood & Hazard Mapping — weighted overlay, multi-criteria, GEE + QGIS (Kolhapur: 488 km², 225,646 people mapped)
🌱 NDVI & LULC Analysis — Sentinel-2, 36 districts, time-series 2019–2023
🏥 Accessibility Gap Analysis — 7,604 hospitals, 36 districts, PyQGIS automated
🗄️ PostGIS Urban Risk Modeling — spatial queries, ETL pipelines, materialized views
🤖 ML Model Deployment — trained + deployed a live risk-classification API on Google Cloud Run (FastAPI + Docker), macro-F1 0.988 vs. 0.212 baseline
🌊 Deep Learning Segmentation — U-Net flood-extent detection (PyTorch), diagnosed and fixed a failing baseline through feature engineering and leak-safe evaluation (IoU 0.048 → 0.092)
🛰️ Remote Sensing — raster processing, change detection, classification (OA 68%, Kappa 0.60)
💡 Why Clients Choose Me
Most GIS freelancers work from a desk. I have spent 25 years in the field — RTK GPS, total station, large infrastructure coordination. My analysis reflects ground reality, not just algorithm output. And unlike most GIS freelancers, I don't stop at the map — I can also train, evaluate, and deploy the machine learning model behind it, live on the cloud.
🛠️ Tools
QGIS 3.40 · Google Earth Engine · PostGIS · Python · GeoPandas · Rasterio · ArcGIS Pro · TensorFlow/Keras · PyTorch · FastAPI · Docker · Google Cloud Run · EPSG:32643
📬 Message me — I respond within 24 hours.
Steps for completing your project
After purchasing the project, send requirements so Venkataramanaiah can start the project.
Delivery time starts when Venkataramanaiah receives requirements from you.
Venkataramanaiah works on your project following the steps below.
Revisions may occur after the delivery date.
Data review & preprocessing
I inspect your data, clean and prepare it, and confirm the right model type (classification, regression, or segmentation) for your use case.
Model training & evaluation
Train the model and evaluate it honestly against a baseline metric, so you know exactly how well it performs before anything ships.