Uttam A.
AI Engineer | AI/ML, Neo4j, Elasticsearch, AI Dashboard, AI SaaS Dev.
๐ 100% ๐๐ผ๐ฏ ๐ฆ๐๐ฐ๐ฐ๐ฒ๐๐ ๐ฆ๐ฐ๐ผ๐ฟ๐ฒ | ๐ ๐ข๐๐ฒ๐ฟ $100๐ธ ๐๐ฎ๐ฟ๐ป๐ฒ๐ฑ | ๐ ๐ง๐ฟ๐๐๐๐ฒ๐ฑ ๐ฏ๐ ๐๐น๐ถ๐ฒ๐ป๐๐ ๐My Tech Stack Development Expertise:- โ Python Development โ Machine Learning โ Bigdata โ NLP โ AI Automation โ DevOps โ Dashboard Development โ Data Visualization โ Data Analytics โ Data mining โ BI Tools & KPI โ ChatGPT โ Artificial Intelligence โ Full Stack Development โ Back-end development โ Front-end development โ API Integration โ Google Analytics โ GTM โ SEO & Google Ads Data Visualization & Visual Analytics Expertise: Web & Interactive Visualization: D3.js, WebGL, Three.js Business Intelligence & Dashboards: Power BI, Looker / Looker Studio, Tableau, Qlik Sense, GoodData, Domo, Zoho Analytics Monitoring & Observability: Kibana, Grafana, ChronoGraph Open-Source BI Platforms: Apache Superset, Redash, Metabase Geospatial Visualization: Kepler.gl, ArcGIS 3D & Simulation Engines: Unity, Unreal Engine, Blender, ParaView In Full Stack development, I can offer the following services: Frontend: 1. HTML/CSS: Structure, styling, and layout 2. JavaScript: Syntax, frameworks (e.g., React, Angular), and libraries (e.g., jQuery) 3. Responsive design: Mobile-friendly and adaptive UI 4. UI/UX: User experience and interface design principles 5. Frontend frameworks: React, Angular, Vue.js, Ember.js Backend: 1. Programming languages: Python, Ruby, PHP, Java, Node.js 2. Frameworks: Express.js, Django, Ruby on Rails, Laravel 3. Databases: Relational (e.g., MySQL) and NoSQL (e.g., MongoDB) databases 4. API design: RESTful APIs, API security, and documentation 5. Serverless architecture: AWS Lambda, Azure Functions, Google Cloud Functions Databases: 1. Database modeling: Entity-relationship diagrams, schema design 2. Querying: SQL, NoSQL, query optimization 3. Database performance: Indexing, caching, scaling Testing and Deployment: 1. Unit testing: Jest, PyUnit, unittest 2. Integration testing: End-to-end testing, API testing 3. Deployment: Containerization (e.g., Docker), cloud platforms (e.g., AWS, Azure) Some examples of questions I can answer: - How do I create a responsive navigation menu using CSS and JavaScript? - What's the difference between monolithic architecture and microservices? - How do I implement authentication and authorization in a Node.js Express app? - What's the best way to optimize database queries for performance? - How do I deploy a React app to a cloud platform like AWS? Feel free to ask me any Full Stack, Machine Learning, and Dashbords-related questions, and I'll do my best to provide helpful guidance.