You will get Professional Data Analysis & AI Insights using Python & R
Top Rated
Project details
I have successfully delivered multiple data-driven projects using Python, R, and AI-powered tools, helping clients transform raw datasets into actionable business insights. In my recent projects, I worked closely with startups and researchers to analyze complex datasets, select the most suitable statistical and machine learning approaches, and develop clear, meaningful visualizations.
My role included:
Cleaning and preprocessing real-world datasets
Selecting appropriate analytical and AI models
Building visual dashboards and reports
Providing structured recommendations for implementation
Each project concluded with a professional summary document outlining key findings, business implications, and clear next steps — enabling stakeholders to confidently make data-driven decisions.
I specialize in turning complex data into strategic insights that drive measurable impact.
My role included:
Cleaning and preprocessing real-world datasets
Selecting appropriate analytical and AI models
Building visual dashboards and reports
Providing structured recommendations for implementation
Each project concluded with a professional summary document outlining key findings, business implications, and clear next steps — enabling stakeholders to confidently make data-driven decisions.
I specialize in turning complex data into strategic insights that drive measurable impact.
Machine Learning Tools
Apache Spark MLlib, BERT, ChatGPT, Fiddler.ai, GitHub Copilot, Google Data Studio, Keras, MATLAB, NumPy, OpenCV, pandas, Python, PyTorch, R, SAS, scikit-learn, Scrapy, SPSS, SQL, Stata, TextBlob, Vertex AI, Weka, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$25
|
Standard
$40
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 6 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
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About Tayyab
Data Scientist | Python & R | Machine Learning & Deep Learning Models
100%
Job Success
Sahiwal, Pakistan - 8:43 pm local time
I'm a Data Scientist with 2+ years of experience in Data Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning, Computer Vision, and NLP. I work primarily in Python and R/RStudio.
𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨:
📊 Statistical Analysis, Time Series Analysis, Quantitative & Predictive Analysis using Python and R
🤖 Designing, developing, and fine-tuning ML/DL models that deliver real impact
🚀 Building models from scratch or optimizing existing ones in both Python and R
Background: Currently pursuing a Master's in Data Science with hands-on experience across Machine Learning, Deep Learning, and Advanced Analytics using Python and R.
𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬:
Languages: Python 🐍, R 📈
Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, XGBoost, LightGBM, CatBoost, OpenCV, FastAPI, Flask, Streamlit
Libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Statsmodels, SciPy (Python) and tidyverse, ggplot2, caret (R)
Data Tools: Selenium, Scrapy, SQL, Power BI, Tableau, AWS (S3, Glue, Redshift), GCP, Azure ML
Others: MATLAB, Git, Docker, Google Earth Engine
Project Experience: I've delivered projects across healthcare, finance, computer vision, and geospatial analytics using both Python and R. Some highlights:
Built deep learning models for drought prediction using 20 years of satellite data
Developed medical image classification systems for cervical cancer detection using DenseNet, ResNet, and EfficientNet architectures
Designed sales forecasting pipelines and stock market analysis dashboards with interactive visualizations
Ran statistical analyses and regression models in R for research-focused projects
Created an AI voice assistant for paramedics
Built a real-time multi-camera object tracking system
Developed a student pressure dashboard powered by D3.js
Explored XAI methods (GradCam, SHAP, LIME) for model interpretability
Implemented models for churn prediction and match outcome forecasting
These projects combine machine learning, deep learning, and data science (in Python and R) to deliver practical, impactful solutions.
𝐖𝐡𝐚𝐭 𝐈 𝐎𝐟𝐟𝐞𝐫:
✅ Machine Learning Models: Build, fine-tune & deploy high-performance ML solutions
✅ Deep Learning Architectures: Custom DL models tailored to your needs
✅ Python & R Programming: Clean, optimized code for ML & data science tasks
✅ Data Analytics & Visualization: Insightful analysis and compelling visuals
✅ Data Scraping & Parsing: Data extraction using BeautifulSoup, Scrapy, and Selenium
𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞:
✨ Strong expertise in both ML and DL
✨ Clear communication throughout projects
✨ Fast delivery with professional support
✨ Focus on quality and client satisfaction
I take pride in delivering solutions that work. My approach is straightforward: build powerful models, provide actionable insights, and ensure clients are happy with the results.
Let's Work Together: If you need someone who can take your machine learning projects to the next level in Python or R I'm here to help turn your ideas into reality. 🚀
Steps for completing your project
After purchasing the project, send requirements so Tayyab can start the project.
Delivery time starts when Tayyab receives requirements from you.
Tayyab works on your project following the steps below.
Revisions may occur after the delivery date.
Review Client Dataset
Analyze the dataset structure, identify missing values, and understand the client’s goals to plan the analysis effectively.