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zenklinov/README.md

Amanatullah Pandu Zenklinov

Generative AI/ML & LLM Engineer | Data Scientist | Statistics Practitioner

Building production-ready AI, scalable analytics, and statistically grounded machine learning.

Profile Views

Professional Summary

  • Head of Statistics & AI Engineer with extensive experience bridging theoretical statistics with production-grade AI/ML applications.
  • Generative AI Specialist: Expert in deploying LLM systems (RAG), utilizing tools like LangChain, Ollama, and Llama 3 for enterprise solutions.
  • Scalable Big Data: Proven track record with Apache Spark, Hadoop, and Google BigQuery for handling large-scale datasets.
  • Applied Research: Published author in community detection algorithms and statistical risk analysis, combining rigorous math with modern code.
  • End-to-End Delivery: Comfortable managing the full lifecycle from data retrieval (SQL/ETL) to model deployment and visualization (Streamlit/Tableau).

Tech Stack

Languages & Scripting

Python R SQL Bash Matlab HTML5

AI, Machine Learning & LLM Ecosystem

Hugging Face Transformers LangChain Model Context Protocol Ollama PyTorch TensorFlow Scikit-Learn Pandas OpenCV NLTK

Statistical Analysis & Geospatial

IBM SPSS Minitab EViews ArcGIS GeoDa

Big Data & Streaming

Apache Spark Hadoop Hive Apache Kafka

Cloud, DevOps & Tools

AWS Google Cloud Azure Docker Kubernetes Jenkins Git Heroku Selenium

Databases

PostgreSQL MongoDB MySQL Oracle SQLite BigQuery

Business Intelligence & Visualization

Tableau Power Bi Looker Streamlit Seaborn

GitHub Stats

GitHub Trophies

zenklinov trophies

Stats & Languages

zenklinov github stats zenklinov top languages>

Resume / CV

My full professional CV is available here:  Download / View My Professional CV

Contact

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  1. Deep-Learning-CNN-vs-RNN Deep-Learning-CNN-vs-RNN Public

    This repository contains a Jupyter Notebook that compares the performance of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) architectures for image classification tasks using…

    Jupyter Notebook 1

  2. Hotelling-T-Square Hotelling-T-Square Public

    This repository contains the implementation of a multivariate control chart with dimension reduction techniques, namely Factor Analysis of Mixed Data (FAMD) and Autoencoder. The control chart is de…

    Jupyter Notebook

  3. nasapower nasapower Public

    Getting Data NASA POWER, such as Precipitation in Regional by Single Point approach. Example Precipitation / Rainfall Data in East Java 2018-2022

    R 1

  4. Streamlit-CSV-excel-xlsx-Llama3-Ollama-PandasAI Streamlit-CSV-excel-xlsx-Llama3-Ollama-PandasAI Public

    This project is a simple web application for data analysis using Streamlit and PandasAI, integrating the Meta Llama 3 language model via Ollama. Users can upload CSV or XLSX files and interact with…

    Python 8 2