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Fiverr Pro
Português
$
USD
I will do eda, ai, ml, nlp and data visualization in python
Data Scientist, Python and EDA Expert, AI, ML, DL, NLP
Hi, I’m Aryan! I turn messy data into clear, actionable stories.
Raw data is a headache. If you're staring at spreadsheets wondering what it all means, that's where I come in. I specialize in Explora...
Sobre este Serviço
Algorithms are only as good as the data you feed them.
Hi, I'm Aryan, a data scientist and a developer who builds end to end data pipelines. I don't just clean spreadsheets, I build intelligent, full-stack data solutions from raw data extraction to interactive web interfaces and predictive modeling.
My Expertise Includes:
- Data Wrangling & EDA: Advanced cleaning, feature engineering and statistical analysis using Python, Pandas and SQL.
- Interactive Dashboards: Bringing data to life through intuitive, interactive UI development using Streamlit.
- Machine Learning: Training robust predictive models, including ensemble methods (LightGBM, CatBoost) to forecast trends, classify data or predict outcomes.
- Full Pipeline Delivery: Structuring clean, well-commented code that is ready for deployment.
Whether you need a quick dataset cleaned up for analysis or a custom machine learning architecture built from scratch to predict your next business cycle, I deliver clean, production-ready results.
Lets build something great.
Linguagem de programação:
Python
•
R
•
SQL
•
Colab
•
JAVA
Tecnologia:
Python
•
fluxo tensor
•
PyTorch
•
opencv
•
keras
•
scikit-learn
Perguntas frequentes
Is my data kept confidential and secure?
Yes, I treat all client data with strict confidentiality. I am happy to sign an NDA if required and I permanently delete all datasets from my local machine once the order is approved and completed.
What file formats do you accept?
I can work with almost any structured data format. The most common files I accept are CSV, Excel(.xlsx), JSON and SQL database exports.
How do you deliver the Streamlit dashboard?
I will provide the fully commented Python script and a requirements.txt file so you can easily run it locally. If needed, I can also deploy it to the Streamlit Community Cloud so you can access it via a web link.
My dataset is very messy and missing a lot of values. Is that okay?
Absolutely, real-world data is rarely perfect. Handling missing values, removing duplicates, formatting dates and structuring chaotic data is a core part of the Data Cleaning and EDA packages I offer.
