Upwork home
Sign up
Project Catalog
DesignDesign
Video & AudioVideo & Audio
Development & ITDevelopment & IT
MarketingMarketing
Writing & TranslationWriting & Translation
MoreMore

You will get robust english to relevant data fetching pipeline

Sarath L.Status: Offline
Sarath L.
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Sarath, priced and ready to go.
Sarath L.Status: Offline
Sarath L.
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Sarath, priced and ready to go.

Project details

You will get a robust english to sql to relevant data (from your dataset provided) pipeline which let's you access the relevant data using plain english. It can be used to generate timely reports and required plots as well.
AI Algorithms
Large Language Model, Transformer Model
AI Applications
AI Chatbot, Natural Language Understanding
AI Development Language
Python
AI Tools
Hugging Face, PyTorch, Streamlit
AI Models
BERT, ChatGPT, LLaMA

What's included $50

These options are included with the project scope.

$50
  • Delivery Time 14 days
    • AI Model Integration
    • Database Integration
    • Detailed Code Comments
    • Model Deployment
    • Model Documentation
    • Model Testing & Optimization
    • Model Tuning
    • Natural Language Processing
    • Prompt Engineering
    • Setup File
    • Source Code
Sarath L.Status: Offline

About Sarath

Sarath L.Status: Offline
Data Scientist | Machine Learning | LLMs | Python | SQL
Bengaluru, India - 2:32 pm local time
With four years of experience in the end-to-end data science lifecycle, I bring a proven track record of transforming raw data into actionable insights and production-ready machine-learning solutions.

I have a deep command of traditional supervised and unsupervised approaches, including linear and logistic regression, decision trees, ensemble methods (random forests, gradient boosting machines, XGBoost, LightGBM, CatBoost), and clustering algorithms. Beyond these, I’ve leveraged advanced frameworks such as MLflow to manage experiment tracking and model versioning, ensuring reproducibility and rapid iteration. I have also spent quite some time in extracting raw data (form APIs, html webpages etc) and generating training datasets for ML models.

More recently, I’ve extended my skill set to the cutting edge of natural-language processing and large-language models (LLMs). I designed and implemented a Natural-Language-to-SQL (NL2SQL) pipeline that translates plain-English queries into optimized SQL statements—streamlining data exploration for nontechnical stakeholders and reducing analysis turnaround times.

My technical toolkit includes:

* **Programming & Scripting:** Python (pandas, NumPy, scikit-learn, PyTorch), SQL (PostgreSQL, BigQuery, ClickHouse)
* **Workflow Orchestration & Cloud Platforms:** Apache Airflow, AWS (Lambda, S3, EC2), GCP (BigQuery, AI Platform)
* **Model Management & Deployment:** MLflow for experiment tracking; Sagemaker for LLM deployment, containerized deployments using Docker;
* **Data Storage & Analytics:** Relational and columnar databases (PostgreSQL, ClickHouse), data warehouses (BigQuery)

Steps for completing your project

After purchasing the project, send requirements so Sarath can start the project.

Delivery time starts when Sarath receives requirements from you.

Sarath works on your project following the steps below.

Revisions may occur after the delivery date.

Ingest the relevant data into a database

Develop a natural language to sql query generation pipeline

Creates a sql query for each question asked by the user

Review the work, release payment, and leave feedback to Sarath.