AI/ML Services Offered by ZoomInData
AI/ML Strategy & Consulting
- Business problem identification and ML opportunity mapping
- Feasibility analysis and success criteria definition
- Model selection strategy (classification, regression, clustering, etc.)
- AI roadmap and MLOps architecture planning
Machine Learning Model Development
- Data preprocessing and feature engineering
- Supervised & unsupervised model development (e.g., SVM, RF, XGBoost, KMeans)
- Model evaluation, hyperparameter tuning, and cross-validation
- Integration-ready model packaging (e.g., Pickle, ONNX, TensorFlow SavedModel)
Deep Learning Solutions
- Neural Network design using TensorFlow / PyTorch
- Computer Vision (Image classification, Object Detection, OCR)
- NLP (Text classification, Named Entity Recognition, Sentiment Analysis)
- Time Series Forecasting with LSTM/GRU models
Data Integration & Pipeline Development
- ntegration with data sources: SQL, NoSQL, cloud storage (S3, GCS, Azure Blob)
- ETL pipeline development with Apache Airflow, Azure Data Factory, or custom Python pipelines
- Data lake and warehouse integration (Snowflake, BigQuery, Redshift)
- Scalable data ingestion via APIs, Kafka, or stream processing tools
AI/ML Model Deployment & MLOps
- Model deployment using Flask, FastAPI, or Django
- Docker containerization and deployment to cloud (AWS, GCP, Azure)
- CI/CD pipeline setup for model updates
- Monitoring model drift and retraining triggers
AI-Enabled Business Intelligence
- Predictive dashboards using AI-generated insights
- Embedding ML outputs into Power BI/Tableau dashboards
- Real-time anomaly detection and alerting
- Decision intelligence with explainable AI (XAI) techniques
AI/ML Training & Workshops
- Training programs for beginners to advanced ML practitioners
- Customized workshops: scikit-learn, TensorFlow, NLP, CV, MLOps
- Hands-on training with real-world datasets and projects
- Certification guidance and career mentorship
AI Governance, Ethics & Security
- Responsible AI principles implementation
- Model fairness, bias mitigation, and explainability
- Secure handling of sensitive data (GDPR, HIPAA compliant)
- Model version control, audit trails, and access governance
