You will get AI-Powered Predictive Modeling & Data-Driven Insights | Python & ML
Project details
Looking for data-driven solutions to improve decision-making and business performance? I specialize in predictive modeling using machine learning to identify patterns, trends, and actionable insights from data. From sales forecasting to customer behavior analysis and anomaly detection, I develop customized ML solutions tailored to specific business needs.
🔹 Core Expertise Includes:
âś” Time Series Forecasting (Sales, Demand, Market Trends)
âś” Customer Behavior & Retention Prediction
âś” Fraud Detection & Risk Analysis
âś” Predictive Maintenance for Equipment & IoT Systems
âś” AI-Based Recommendation Systems
🔍 Transparent & Explainable AI:
I focus on building interpretable models that provide clear insights, including feature importance, data visualizations, and result explanations to support confident decision-making.
With a strong academic background in Computer Science from Politehnica University of Bucharest and ongoing Master’s studies, I combine technical expertise in Machine Learning and Artificial Intelligence to deliver scalable, accurate, and ethical predictive solutions across various industries.
Let’s turn your data into intelligent business decisions!
🔹 Core Expertise Includes:
âś” Time Series Forecasting (Sales, Demand, Market Trends)
âś” Customer Behavior & Retention Prediction
âś” Fraud Detection & Risk Analysis
âś” Predictive Maintenance for Equipment & IoT Systems
âś” AI-Based Recommendation Systems
🔍 Transparent & Explainable AI:
I focus on building interpretable models that provide clear insights, including feature importance, data visualizations, and result explanations to support confident decision-making.
With a strong academic background in Computer Science from Politehnica University of Bucharest and ongoing Master’s studies, I combine technical expertise in Machine Learning and Artificial Intelligence to deliver scalable, accurate, and ethical predictive solutions across various industries.
Let’s turn your data into intelligent business decisions!
Machine Learning Tools
ChatGPT, GitHub Copilot, Google Data Studio, GPT-3, MATLAB, MLflow, NumPy, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$49
|
Standard
$69
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 3 | 2 | 2 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - | - | - |
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SA
Sherdil A.
Jun 24, 2026
Python Script for AI Disease Prediction from Symptoms
It was a great experience working with shafiqa. She was professional, responsive, and provided clear requirements, which made the process smooth and efficient. Communication was excellent, and I appreciated the collaboration throughout the project.
About Shafiqa
AI & ML Engineer | Python | Bioinformatics & Data Analysis
Gilgit, Pakistan - 9:21 am local time
I'm an AI/ML Developer and Python Engineer with a background in Bioinformatics, specializing in building intelligent, data-driven applications for medical, biological, and scientific domains. I combine machine learning, deep learning, and domain expertise to deliver tools that are technically sound and genuinely useful in the real world.
What I build:
AI/ML models for healthcare and biological data: classification, regression, prediction, and risk scoring using scikit-learn, XGBoost, Random Forest, TensorFlow, and PyTorch
Medical web applications with clean clinical UIs using Python Flask and React
Bioinformatics pipelines: sequence alignment, mutation analysis, phylogenetic tools using BLAST, Clustal Omega, MEGA, and PyMOL
Data dashboards and visualization systems using Matplotlib, Seaborn, and Pandas for scientific and research data
REST API development, automation scripts, and data pipeline integrations
Recent work:
BloodMark: An early screening system for Thalassemia built on real CBC hematological data. Includes automated risk scoring, interpretability charts, and a clinical-grade UI. Designed to reduce missed diagnoses in low-resource healthcare settings.
Multilingual Triage App: A rule-based clinical decision support web app with red-flag detection, risk visualization, and bilingual support (English/Urdu). Built entirely in Python with a safety-first design.
Bioinformatics Intern @ The Freelance Bubble: Performed sequence alignment, phylogenetic analysis, and protein structure prediction using BLAST, Clustal Omega, MEGA, and PyMOL.
My tech stack:
Python · Flask · React · scikit-learn · TensorFlow · PyTorch · XGBoost · Pandas · NumPy · Matplotlib · Seaborn · SQL · REST APIs · BLAST · MEGA · PyMOL · SWISS-MODEL · Webflow · WordPress
Why clients work with me:
I understand the domain, not just the code — I build ML models that make sense for your specific data and use case
Clean, well-documented deliverables — production-ready code, not messy notebooks
Clear communication and reliable deadlines
Actively expanding into Generative AI, LLM integration, prompt engineering, and embeddings through HEC-certified training
Best fit for: Medical AI · Healthcare data analysis · Bioinformatics tools · Python automation · ML model development · Scientific web apps · NLP · Predictive analytics · Disease prediction · Genomics data analysis
Keywords:
Python & Dev
Python · Flask · Django · FastAPI · REST API · React · Full Stack · SQL · PostgreSQL · MongoDB · Git · Docker
AI & ML
Machine Learning · Deep Learning · NLP · Computer Vision · scikit-learn · TensorFlow · PyTorch · XGBoost · Random Forest · Neural Networks · Predictive Analytics · Model Deployment
Data
Pandas · NumPy · Matplotlib · Seaborn · Data Analysis · Data Visualization · Feature Engineering · Data Pipeline · ETL
Healthcare/Bio
Bioinformatics · Medical AI · Clinical Decision Support · Healthcare Data · Disease Prediction · BLAST · PyMOL · Genomics · Sequence Alignment
GenAI
LLM Integration · Prompt Engineering · OpenAI API · Embeddings · RAG · Chatbot Development · Generative AI
Steps for completing your project
After purchasing the project, send requirements so Shafiqa can start the project.
Delivery time starts when Shafiqa receives requirements from you.
Shafiqa works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Data Understanding
Understand project goals, analyze dataset structure, and define model objectives.