You will get clean, analysis-ready data with duplicates, errors & missing values fixed


Project details
I'll take your messy Excel, CSV or database export and return a clean, analysis-ready dataset: duplicates removed, formats standardised, missing values handled properly, with a log of every change.
WHAT YOU GET
✔ Cleaned dataset in your format (CSV, Excel, Google Sheets or database table)
✔ Duplicate detection and removal (exact + fuzzy matching)
✔ Standardised dates, currencies, phone numbers, addresses and categories
✔ Missing-value treatment: imputed or flagged, never silently guessed
✔ Outlier and error report so you know what was wrong
✔ Reusable Python or R script so future files clean themselves
HANDLES
Merged cells, inconsistent headers, mixed encodings, data split across tabs, multi-file merges, 1M+ row files.
PROCESS
1. Send a sample file and tell me what "clean" means for you
2. I clean, document every rule, and return it
3. You spot-check, I revise anything that doesn't match your logic
WHY ME
Top 10% on Upwork. 100+ projects delivered. Under 1 hour response time. NDA available on request.
Send a sample file first so I can quote accurately.
WHAT YOU GET
✔ Cleaned dataset in your format (CSV, Excel, Google Sheets or database table)
✔ Duplicate detection and removal (exact + fuzzy matching)
✔ Standardised dates, currencies, phone numbers, addresses and categories
✔ Missing-value treatment: imputed or flagged, never silently guessed
✔ Outlier and error report so you know what was wrong
✔ Reusable Python or R script so future files clean themselves
HANDLES
Merged cells, inconsistent headers, mixed encodings, data split across tabs, multi-file merges, 1M+ row files.
PROCESS
1. Send a sample file and tell me what "clean" means for you
2. I clean, document every rule, and return it
3. You spot-check, I revise anything that doesn't match your logic
WHY ME
Top 10% on Upwork. 100+ projects delivered. Under 1 hour response time. NDA available on request.
Send a sample file first so I can quote accurately.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$80
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 6 days |
Number of Revisions | 2 | 3 | 5 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10Frequently asked questions
About Muhammad Fasih
DataScience|Data Analysis|Machine Learning|Data Visualization|Python|R
Islamabad, Pakistan - 10:37 am local time
🎖️ 2+ Years of Experience | 100+ Projects Delivered
⏱️ Under 1 Hour Response Time | Cross-Industry Expertise
🌐 Supporting Startups, Enterprises & Tech Teams Worldwide
🚀 Unlock the Power of Data with Expert AI & Data Solutions
I help businesses build AI-powered products, automate workflows, and extract actionable insights. With hands-on experience in machine learning, cloud deployment, and analytics, I deliver scalable, production-ready solutions tailored to your goals.
🎯 Looking to develop smart AI systems, automate decision-making, or launch powerful dashboards? Let’s get started.
💡 Core Expertise Areas
🔹 Generative AI and LLM Applications (GPT, RAG, Fine-tuning)
🔹 Predictive Modeling and Business Intelligence
🔹 Deep Learning (Computer Vision, NLP, Transformers)
🔹 Custom AI Chatbots and Natural Language Understanding
🔹 ML Ops, Cloud Deployment, and CI/CD Automation
🔹 Advanced Data Pipelines and Data Warehousing
🔹 Real-time KPI Dashboards and Performance Tracking
🛠️ Skills I Possess
💻 Programming & Libraries
👉 Python (NumPy, Pandas, Scikit-learn, Polars, TensorFlow, Keras)
👉 R
👉 SQL (PostgreSQL, MySQL, SQLite)
📊 Machine Learning Techniques & Statistics
👉 Regression, Gradient Boosting, Maximum Likelihood Estimation
👉 Probabilistic Graphical Models, Deep Learning
👉 Hyperparameter Tuning, Feature Engineering
⚙️ Data Processing & Engineering
👉 Apache Spark, Python Polars, AWS Glue
👉 Apache Airflow, dbt, Mage
📈 Visualization & Dashboards
👉 Tableau, Looker Studio, Power BI, Seaborn, Plotly
☁️ Cloud & Infrastructure
👉 AWS (S3, Lambda, SageMaker, Athena)
👉 GCP (BigQuery, Vertex AI)
👉 Docker, Streamlit, CI/CD
📦 Databases & Storage
👉 PostgreSQL, MySQL, SQLite
👉 AWS Athena, GCP BigQuery
👉 Data Lakes and Warehouse Architecture
💼 Services I Offer
🤖 ML/AI Product Development
👉 Transform your ML vision into a clear product plan with a defined roadmap and timeline.
🧪 Machine Learning & Data Software Engineering
👉 I can start from scratch or quickly integrate into your existing project. I specialize in optimization, scalability, and fast delivery within 24 hours.
☁️ Cloud Development
👉 Deploy, monitor, and optimize ML or data pipelines in AWS or GCP environments.
📊 Business Intelligence & Automation
👉 Build intelligent dashboards and automate your business processes to unlock time and efficiency.
📈 Technical Stack Summary
🧠 Languages: Python, R, SQL
🧠 Libraries: Scikit-learn, TensorFlow, PyTorch, Pandas, Polars, Hugging Face
🧠 Visualization Tools: Looker Studio, Tableau, Power BI, Seaborn, Plotly
🧠 Cloud Platforms: AWS, GCP
🧠 Deployment: Docker, Streamlit, CI/CD
🧠 Workflow Tools: Apache Airflow, Mage, dbt
🧠 Databases: BigQuery, Athena, PostgreSQL, MySQL
🌟 Why Clients Choose Me
✅ Scalable and Production-Ready Solutions
✅ Business-Aligned AI and Data Strategies
✅ Fast Onboarding with Clear Communication
✅ Thorough Documentation and Smooth Handoff
✅ SEO-Friendly, High-Performance Deliverables
✅ Agile Collaboration and Frequent Progress Updates
🎯 Ideal If You Need
🔍 Generative AI or Custom LLM Integration
🔍 Full-Stack Machine Learning Solutions
🔍 Real-Time KPI Dashboards
🔍 Predictive Analytics or Time Series Forecasting
🔍 Chatbots and NLP-Driven Tools
🔍 Automated Business Workflows
🔍 Deep Learning in Vision or Language
🔍 Data Pipelines using dbt, Airflow, Glue
🔍 Cloud-Based Deployment and MLOps
📨 Ready to turn your data into intelligence and automation? Message me today and let’s build something impactful together.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Fasih can start the project.
Delivery time starts when Muhammad Fasih receives requirements from you.
Muhammad Fasih works on your project following the steps below.
Revisions may occur after the delivery date.
Data audit & rules confirmation
I profile your file and report exactly what's wrong: duplicate counts, format inconsistencies, missing values and outliers. You confirm the cleaning rules before I change a single row.
Cleaning, dedup & standardisation
I remove duplicates, standardise dates, currencies, names and categories, and handle missing values by the rules we agreed. Every change is logged so nothing happens invisibly.