Imtiaz Ahmad

Machine learning Engineer

Upwork • Freelance

Mar 2022 - Present • 4 yrs 4 mos

I am a Machine Learning Engineer and Data Scientist with 5+ years of experience building intelligent systems that transform raw data into measurable business results. My expertise spans Machine Learning, Deep Learning, Predictive Analytics, Data Science, MLOps, and AI-powered automation solutions. I specialize in designing and deploying end-to-end AI systems from data collection and preprocessing to model training, optimization, API deployment, and cloud-based production environments. Key Strengths & Expertise: 🦾 Machine Learning & Predictive Analytics using Scikit-learn, TensorFlow, PyTorch, XGBoost, and LightGBM 🦾 Deep Learning solutions for classification, forecasting, recommendation systems, and intelligent automation 🦾 Data Science & Analytics with Pandas, NumPy, SQL, and advanced statistical modeling 🦾 Time Series Forecasting for sales prediction, demand forecasting, customer behavior analysis, and business intelligence 🦾 NLP applications including text classification, sentiment analysis, chatbot development, and LLM integrations 🦾 End-to-End Data Pipelines for automated data collection, transformation, validation, and monitoring 🦾 Production Deployment using FastAPI, Docker, AWS, Google Cloud Platform (GCP), and scalable cloud infrastructure 🦾 MLOps implementation including model versioning, monitoring, CI/CD pipelines, and automated retraining workflows 🦾 Database and Data Engineering experience with PostgreSQL, MySQL, MongoDB, APIs, and cloud data platforms 🦾 Full-stack AI integrations connecting machine learning models with web applications and business systems Technical Stack: Python • Scikit-learn • TensorFlow • PyTorch • FastAPI • Docker • AWS • Google Cloud • Pandas • NumPy • SQL • Git • Jupyter • MLflow Whether you need a predictive model, AI-powered automation, forecasting system, data pipeline, or a complete machine learning solution, I am committed to delivering results that create real business impact. #datascience#python

Machine learning internship

elevvo.tech • Período integral

Jul 2025 - Aug 2025 • 1 mo

During my Machine Learning Internship, I worked on developing, training, and deploying machine learning models to solve real-world problems. I was responsible for data preprocessing, feature engineering, model selection, and performance evaluation. I successfully deployed ML models into production environments and created interactive data visualizations to present insights clearly to stakeholders. I used tools such as Python, Pandas, NumPy, Scikit-learn, and visualization libraries like Matplotlib and Seaborn to analyze and interpret data effectively. This experience enhanced my skills in model optimization, deployment strategies, and transforming raw data into meaningful business insights.