You will get a machine learning proof-of-concept app


Project details
I will analyze your dataset and make a machine learning model if the problem is feasible.
Then, I will build a Flask or Stremlit app to let you interact with the model.
Then, I will build a Flask or Stremlit app to let you interact with the model.
Programming Languages
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | ||
Content Upload | - | ||
Responsive Design | - | - | - |
Source Code | - |
About Maria
Mathematician | Data Extraction | Excel & Automation
New York City, United States - 9:54 am local time
🟢 PhD in Mathematics from Columbia University (20 years ago)
🟢 15+ years of experience in research + industry
🟢 $30K+ earned on Upwork | 26 projects completed | 150+ hours | 5★ rating
🟢 Clear communication with both technical and business clients
📊 WHAT I DO
🔹 Machine Learning: end-to-end models, custom algorithms, advanced analytics
🔹 Natural Language Processing: NER, topic modeling, summarization, embeddings (BERT, word2vec)
🔹 Data Extraction & Ingestion: clean pipelines, structured outputs, scalable solutions
🔹 Excel & Data Trackers: financial data, ConEdison consumption, ETF analysis, automated dashboards
🔹 Data Analysis: statistical modeling, reporting, decision support
💻 TECH STACK
🟠 Python (Pandas, NumPy, Scikit-learn, SpaCy, Gensim, NLTK)
🟠 R, SQL
🟠 Excel (advanced formulas, automation, dashboards)
🟠 QuickBooks (manual workflows, integration-ready)
⭐ WHY CLIENTS HIRE ME
💠 PhD-level math background with practical industry focus
💠 Track record of delivering both ML models and business-ready Excel tools
💠 Strong finance-related experience (ETFs, utilities, structured data trackers)
💠 Responsive, reliable, and easy to work with
💬 CLIENT FEEDBACK
🌟 "Super capable, super responsive! A true expert and someone you can count on for effective solutions."
🌟 "Extremely quick and helpful. She went above and beyond to get the project on track."
🌟 "Maria goes above and beyond to make sure I understand everything and can reproduce on my own. Amazing work."
Steps for completing your project
After purchasing the project, send requirements so Maria can start the project.
Delivery time starts when Maria receives requirements from you.
Maria works on your project following the steps below.
Revisions may occur after the delivery date.
Gather requirements
Validate the dataset