📄️ Ab Testing Setup
Design and implement A/B test for model comparison including experimental design, traffic splitting, statistical power analysis, and significance testing.
📄️ Ad Hoc Analysis Workflow
Enable data analysts to perform ad-hoc analysis with data access, SQL/Python notebooks, visualization tools, and sharing capabilities.
📄️ Anomaly Detection System
Implement automated anomaly detection for metrics and KPIs using statistical methods, ML models, alerting, and root cause analysis.
📄️ Api Data Integration
Integrate external API as data source including authentication, pagination, rate limiting, error handling, and incremental sync.
📄️ Api Integration Framework
Build reusable API integration framework with authentication, request/response handling, rate limiting, circuit breaker, and monitoring.
📄️ Attribution Modeling
Build marketing attribution model to understand channel contribution including multi-touch attribution, model comparison, and ROI calculation.
📄️ Automated Reporting
Automate report generation and distribution with scheduling, templating, data refresh, export to multiple formats, and email delivery.
📄️ Backup And Recovery
Implement automated backup and disaster recovery including full/incremental backups, point-in-time recovery, backup testing, and restoration procedures.
📄️ Backup Automation
Automate infrastructure and database backups with scheduling, encryption, versioning, and restore testing.
📄️ Batch Processing Pipeline
Implement large-scale batch processing with chunking, parallel execution, checkpointing, and progress tracking.
📄️ Cicd Pipeline Setup
Build CI/CD pipeline with automated testing, building, deployment, rollback capability, and deployment gates.
📄️ Cohort Analysis
Perform cohort analysis to understand user behavior over time including cohort definition, metric calculation, retention analysis, and visualization.
📄️ Container Orchestration
Deploy containerized applications with Kubernetes including cluster setup, deployment manifests, service discovery, and auto-scaling.
📄️ Continuous Deployment
Automated deployment pipeline to staging and production
📄️ Continuous Integration
Set up or update CI pipeline for automated testing and validation
📄️ Cost Optimization
Analyze and optimize cloud infrastructure costs with rightsizing, reserved instances, spot instances, and resource cleanup.
📄️ Dashboard Creation
Build interactive dashboards with KPIs, charts, filters, drill-down capability, and automatic refresh using BI tools.
📄️ Data Governance Setup
Implement data governance framework including data catalog, lineage tracking, access control, PII detection, and compliance policies.
📄️ Data Migration
Migrate data between systems/databases including extraction, transformation, validation, incremental sync, and cutover planning.
📄️ Data Performance Optimization
Optimize data pipeline and query performance including indexing, partitioning, caching, query tuning, and infrastructure scaling.
📄️ Data Quality Checks
Implement comprehensive data quality validation including schema validation, null checks, range checks, uniqueness constraints, and referential integrity.
📄️ Data Visualization Library
Build reusable visualization component library with consistent styling, interactivity, responsiveness, and accessibility.
📄️ Data Warehouse Management
Manage data warehouse including star/snowflake schema design, fact/dimension tables, SCD handling, and OLAP optimization.
📄️ Dataset Preparation
Automated dataset preparation including data collection, cleaning, labeling, augmentation, and splitting for ML model training.
📄️ Deployment Rollback
Rollback failed deployment to previous stable version
📄️ Disaster Recovery Plan
Implement comprehensive disaster recovery strategy with backup sites, failover procedures, RTO/RPO targets, and regular DR drills.
📄️ Error Handling Framework
Build comprehensive error handling system with retry strategies, circuit breakers, dead letter queues, and error analytics.
📄️ Etl Pipeline Creation
Design and implement Extract-Transform-Load pipeline with error handling, incremental loading, idempotency, and monitoring for batch data processing.
📄️ Feature Engineering Pipeline
Systematic feature engineering including selection, transformation, encoding, scaling, and dimensionality reduction with feature importance analysis.
📄️ Forecasting Pipeline
Build time series forecasting pipeline including data preparation, model selection, training, validation, and automated forecast generation.
📄️ Funnel Analysis
Analyze conversion funnels to identify drop-off points including funnel definition, step tracking, conversion calculation, and optimization recommendations.
📄️ Infrastructure Provisioning
Provision cloud infrastructure using IaC (Terraform, CloudFormation)
📄️ Kpi Tracking System
Set up automated KPI tracking with data collection, calculation, trend analysis, target monitoring, and alerting on deviations.
📄️ Log Aggregation Pipeline
Set up centralized logging with log collection, parsing, indexing, searching, and retention policies.
📄️ Model Deployment
Deploy trained ML model to production including containerization, API endpoint creation, load balancing, versioning, and rollback capability.
📄️ Model Evaluation
Comprehensive model evaluation using cross-validation, multiple metrics, confusion matrices, ROC/PR curves, and performance comparison against baselines.
📄️ Model Fine Tuning
Fine-tune pre-trained models on custom datasets including transfer learning, learning rate scheduling, early stopping, and model comparison.
📄️ Model Monitoring Drift Detection
Set up continuous monitoring for deployed models including data drift detection, concept drift detection, performance degradation alerts, and automated retraining triggers.
📄️ Model Training Pipeline
Complete supervised learning model training pipeline from data ingestion to model artifact storage with experiment tracking and hyperparameter optimization.
📄️ Monitoring Automation Setup
Implement automated monitoring with health checks, metric collection, alerting rules, and incident automation.
📄️ Monitoring Observability Stack
Deploy full observability stack with metrics (Prometheus), logs (Loki), traces (Jaeger), and dashboards (Grafana).
📄️ Monitoring Setup
Set up application monitoring, logging, and alerting
📄️ Multi System Sync
Synchronize data across multiple systems with conflict resolution, eventual consistency, change detection, and sync monitoring.
📄️ Notification System Setup
Implement multi-channel notification system (email, SMS, Slack, webhook) with templating, scheduling, and delivery tracking.
📄️ Prompt Engineering Workflow
Systematic prompt engineering for LLMs including prompt design, few-shot examples, chain-of-thought prompting, evaluation, and version control.
📄️ Queue Management System
Set up message queue system with topic-based routing, consumer groups, priority queues, and visibility timeout management.
📄️ Rag Pipeline Setup
Build end-to-end Retrieval-Augmented Generation pipeline including document ingestion, chunking, embedding, vector store, retrieval, and LLM integration.
📄️ Real Time Streaming Pipeline
Build real-time data streaming pipeline using Kafka/Kinesis including producers, consumers, stream processing, and exactly-once semantics.
📄️ Scaling Policies
Implement auto-scaling policies with horizontal and vertical scaling, load-based triggers, and cost optimization.
📄️ Scheduled Job Orchestration
Set up cron-based or interval-based job scheduling with dependency management, concurrency control, and execution history.
📄️ Schema Management
Database schema version control, migration generation, rollback capability, and schema documentation for evolving data models.
📄️ Security Hardening
Apply security best practices to infrastructure including OS hardening, firewall configuration, secret management, and compliance scanning.
📄️ Server Provisioning
Automate server provisioning with infrastructure-as-code, configuration management, security hardening, and idempotency.
📄️ Webhook Event Handler
Implement webhook receiver with signature verification, event processing, idempotency, queuing, and failure recovery.
📄️ Workflow Automation Setup
Design and implement business process automation including workflow orchestration, task scheduling, dependency management, and error recovery.