Harsh C.

The Technical Stack: ✔️ GenAI: OpenAI/Anthropic APIs, LangChain, RAG, Vector Databases, BERTopic. ✔️ Automation: n8n, Python (FastAPI/Flask), Selenium, Scrapy, Playwright. ✔️ Data Science: Scikit-learn, TensorFlow, Keras, Pandas, NumPy. ✔️ BI & Viz: SQL, Plotly, Seaborn, Matplotlib, Google Analytics (GAIQ). Education & Credentials: ➕ Masters of Engineering | M.S. University, Baroda ➕ Bachelors of Engineering | G.E.C. Modasa ➕ Machine Learning Certification | Stanford University ➕ Deep Learning Specialization | DeepLearning.ai ➕ Python for Everybody Specialization | University of Michigan ➕ Google Analytics Individual Qualification | GAIQ Combining a Master’s in Engineering with specialized training from Stanford and Google and 7 years of hands-on experience, this practice bridges the gap between complex data science and practical business automation. The focus is on architecting autonomous AI Agents and high-volume data pipelines that transform raw information into revenue-driving insights. All-In-One Solutions: Autonomous AI Agents: Engineering "Reasoning" workflows using LLMs (GPT-4o/Claude) and n8n to automate decision-making and operational tasks. Intelligent Data Pipelines: Architecting resilient, anti-bot scrapers (Selenium/Scrapy) to harvest high-value data from complex, large-scale web environments. Machine Learning & NLP: Deploying advanced models for trend discovery (BERTopic), sentiment analysis, and predictive forecasting. Data Science & Analytics: Transforming disorganized datasets into structured intelligence and interactive executive dashboards (Plotly/Dash).