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I will do data science, ai, machine learning, and deep learning
Data Scientist, Machine Learning Engineer, Software Engineer Expert
A passionate and performance-driven Machine Learning & Deep Learning Engineer hands-on experience in building intelligent systems and data-driven applications. I've already contributed to real-world p...
About this Gig
Thanks for visiting the gig!
I'm Shoiab Ahmed, an expert in AI, Machine Learning (ML), and Deep Learning with Python.
With a strong background in data-driven problem solving, I have successfully delivered projects ranging from predictive models and recommendation systems to business insights powered by AI.
Whether you need to tackle complex challenges, develop advanced ML/DL models, or unlock actionable insights from your data, I'll guide you every step of the way.
Professional, reliable, and results-driven,
Clear communication & tailored solutions
Cutting-edge tools: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy
Let's bring your AI, ML, or Deep Learning project to life and take it to the next level!
What I offer:
- Exploratory Data Analysis (EDA)
- Customer Segmentation & Classification
- Image Processing & Computer Vision
- Text & Sentiment Analysis (NLP)
- Machine Learning Models
- Clustering Algorithms
- Feature Engineering & Model Building
Why Choose Me?
- Expertise & Experience
- End-to-End Solutions
- Custom Approach
- On-Time Delivery
- Clear Communication
Tools I Use:
- Python
- PyTorch
- TensorFlow
- Keras
- N8N
- OpenCV
- Roboflow
- NumPy
- Pandas
- Scikit-learn
- Matplotlib
- Seaborn
Programming language:
Python
•
SQL
•
Colab
•
Java
•
NoSQL
Frameworks:
Scikit-learn
•
DeepPy
•
Keras
•
PyTorch
•
Panda
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab
FAQ
How can data science help businesses?
Data science helps businesses make data-driven decisions, predict trends, understand customer behavior, optimize operations, reduce costs, and improve products or services through insights from data.
What is machine learning ?
Machine learning is a branch of artificial intelligence (AI) that enables computers to learn from data and improve their performance over time without being explicitly programmed. in simple: Machine learning = Data + Algorithms → Learn patterns → Make predictions or decisions.
What kind of data can be analyzed in a data science gig?
Data science can analyze various types of data numerical, categorical, text, or images from sources like databases, surveys, web scraping, and social media. In practice, this includes customer data, sales data, usage logs, financial records, and more to uncover insights and support decision-maki
How can Machine Learning & Data science help Medical and Producations?
In medicine, ML and data science aid in diagnosis, treatment, imaging, and drug discovery. In production, they improve quality, predict maintenance needs, forecast demand, and optimize processes, boosting efficiency and reducing costs.
How long does a data science project take?
The time for a data science project varies: small tasks take 1–2 weeks, medium ones 3–8 weeks, and large projects 2–6 months. Duration depends on data quality, project complexity, and goals. Data cleaning often takes the most time.
What programming languages are commonly used in data science or Machine Learning ?
Python, R, SQL, Java, and C++ are commonly used in data science and machine learning. Python is the most popular due to its simplicity and powerful libraries like Pandas, NumPy, and TensorFlow.
