You will get help regarding Machine learning and Data Engineering using python.
You will get help regarding Machine learning and Data Engineering using python.
Project details
Hello!
I am a computer engineer by profession. I am a MEAN and MERN stack developer with 3+ years of experience with these technologies.
Following are my areas of expertise:
Machine Learning
Deep Learning
Text mining
Data Analysis
NLP using spaCy and NLTK
Sentiment Analysis
RNN
ETL Pipelines
Data Engineering
I assure timely delivery and fulfilling the requirements as described by the buyer. I expect to hear from you soon!
NOTE: Before placing the order, contact me first.
I am a computer engineer by profession. I am a MEAN and MERN stack developer with 3+ years of experience with these technologies.
Following are my areas of expertise:
Machine Learning
Deep Learning
Text mining
Data Analysis
NLP using spaCy and NLTK
Sentiment Analysis
RNN
ETL Pipelines
Data Engineering
I assure timely delivery and fulfilling the requirements as described by the buyer. I expect to hear from you soon!
NOTE: Before placing the order, contact me first.
What's included
| Service Tiers |
Starter
$30
|
Standard
$90
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 5 days | 5 days |
Number of Revisions | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Can
Full-Stack Web, AI and Data Engineer | Node JS | Python
Canberra, Australia - 4:05 am local time
My communication in English is fluent, so it won't be a barrier at all.
Following are the areas that I am proficient at:
**** Web apps
✅ React JS
✅. Vue JS
✅. FAST API
✅. HTML, CSS, Javascript, jQuery
✅. Express JS
✅. Node JS
✅ Databases (MySQL, SQLite, Postgresql, MongoDB, Firebase)
✅ Web Scraping using Selenium, Beautifulsoup, and Scrapy
✅ REST APIs/ GraphQL
✅ Unit testing using Pytest, JEST
✅. Elasticsearch
**** Data Engineering
✅. Ingest data from data sources.
✅. Databases (Redshift, Bigquery, PostgreSQL, MySQL, MongoDB, etc).
✅. Build and maintain Data warehouse.
✅. Schedule and automate ETL pipelines using Airflow.
✅. Optimize queries.
✅. BI tools/dashboards
**** Artificial Intelligence
✅. Statistical Inference
✅. Machine Learning
✅. NLP using spaCy and NLTK
✅. Deep Learning
✅. Neural Networks
✅. Time-series Analysis
✅. Recommendation Engine
As a top-rated seller, I always try to meet the client's satisfaction with my top-quality work. Feel free to reach out anytime.
Steps for completing your project
After purchasing the project, send requirements so Can can start the project.
Delivery time starts when Can receives requirements from you.
Can works on your project following the steps below.
Revisions may occur after the delivery date.
collect client's question
analysis the question and provide potential solution