You will get a Data Entry project done within 24hrs
Rising Talent
Rising Talent
Project details
I can work on your data entry, research, data mining, and lead generation project for a limit of 100 rows. Delivery is within 24hrs of receiving the data
Data Entry Type
Copy Paste, Data Cleansing, Document Conversion, Error Detection, Online ResearchData Entry Tool
Google Docs, Google Sheets, Microsoft Excel, Microsoft Office, Microsoft WordWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 2 days | 1 day |
Number of Revisions | 2 | 2 | 1 |
Number of Hours of Work | 3 | 5 | 6 |
Formatting & Clean Up | |||
Graph & Table Creation | - | - | - |
About Anas
AI SaaS Developer | Agentic Automation | Full-Stack ML Engineer
Islamabad, Pakistan - 9:19 am local time
I utilize an agent-driven development stack to ensure rapid iteration and high code quality. My proficiency in these platforms allows me to focus on system architecture and user experience while AI agents handle the boilerplate and logic.
- AI-Native IDEs: Cursor, Windsurf, Claude Code, Zed.
- Rapid Prototyping and SaaS Builders: Lovable, Bolt.new, v0.dev, Replit Agent.
- Autonomous Agents and CLI: Aider, Cline, Roo Code, OpenCode.
Core Technical Capabilities:
Natural Language Processing and LLMs I build intelligent systems that understand and generate human-like text, focusing on RAG (Retrieval-Augmented Generation) and agentic workflows.
- Tools: LangChain, OpenAI API, VoiceFlow, DialogFlow, Rasa.
- Applications: Intelligent Chatbots, Automated Summarization, Voice Cloning, Speech Synthesis (TTS/STT).
- Computer Vision I develop systems capable of high-precision visual recognition and analysis.
- Algorithms: YOLO (v8-v11), SIFT, SURF, Semantic Segmentation.
- Applications: Object Detection, Image Classification, OCR, Super-Resolution, Image Reconstruction.
- Machine Learning and Deep Learning I design and deploy custom models tailored to specific data patterns and business needs.
Architectures: Transformers, CNNs, RNNs, GANs, Variational Autoencoders.
- Methods: Predictive Analytics, Recommendation Systems, Time Series Forecasting, Reinforcement Learning.
Technical Stack and Frameworks
- Programming Languages: Python, R, JavaScript.
- Frameworks: PyTorch, TensorFlow, Keras, Django, FastAPI, Flask.
- Libraries: OpenCV, Scikit-Learn, Pandas, NumPy, MediaPipe, Tesseract.
- Cloud and Deployment: AWS, Azure, GCP, Docker, Heroku.
Data Visualization: Power BI, Tableau, Matplotlib.
Professional Philosophy
My approach is rooted in the belief that AI should be accessible and highly functional. I focus on delivering innovative solutions that are research-grounded and industry-tailored.
I maintain a 100% job success orientation by ensuring reliable delivery within agreed timelines and maintaining clear, transparent communication throughout the project lifecycle.
Let's collaborate to bring your AI vision to life with speed and precision.
Steps for completing your project
After purchasing the project, send requirements so Anas can start the project.
Delivery time starts when Anas receives requirements from you.
Anas works on your project following the steps below.
Revisions may occur after the delivery date.
1
send me the requirements I'll work on the project I'll give you sample of the project then you can make decision