I specialize in transforming complex datasets into intuitive and visually appealing representations, making it easier for non-data professionals to understand and act on insights. This includes creating interactive dashboards, charts, graphs, infographics and comprehensive reports.
The following list represents some of my highlighted machine learning projects (excluding open-source contributions and other proprietary or small projects).
Dashboards
Apache Superset dashboard prototype based on strategic marketing project (channel prioritization, budget allocation, ROI forecasting)
— Apache Superset dashboard prototype based on strategic marketing project (channel prioritization, budget allocation, ROI forecasting)Dashboards
Marketing analytics dashboard for audience segmentation and multi-channel ROI analysis with ETL, implemented with Dash and Airflow
— Marketing analytics dashboard for audience segmentation and multi-channel ROI analysis with ETL, implemented with Dash and AirflowComputer vision, dashboards
Medical image/video processing: optical flow (Farneback, Lucas-Kanade, DL), CBIR (SIFT/ORB/CNN embeddings), object detection and Dash interactivity
— Medical image/video processing: optical flow (Farneback, Lucas-Kanade, DL), CBIR (SIFT/ORB/CNN embeddings), object detection and Dash interactivityDashboards
Full-stack data analytics platform using REST API integrations, sentiment/trend analysis and real-time interactive dashboards built with Python, Flask and Dash, aggregating social media data from Twitter, Facebook, Instagram, Discord, Medium, Reddit, YouTube and TikTok for marketing insights
— Full-stack data analytics platform using REST API integrations, sentiment/trend analysis and real-time interactive dashboards built with Python, Flask and Dash, aggregating social media data from Twitter, Facebook, Instagram, Discord, Medium, Reddit, YouTube and TikTok for marketing insightsDashboards
Real‑time/historical analytics dashboard suite unifying multi‑source enterprise data (social media, server, HR, financial, marketing, transactions) using data integration, streaming, visualization and ML techniques (Apache Superset, Grafana, Kafka, Prometheus, Python, React)
— Real‑time/historical analytics dashboard suite unifying multi‑source enterprise data (social media, server, HR, financial, marketing, transactions) using data integration, streaming, visualization and ML techniques (Apache Superset, Grafana, Kafka, Prometheus, Python, React)Customer analytics
End-to-end analytics suite that integrates churn/CLV prediction, customer segmentation and lead scoring into a solution with data pipelines and an interactive dashboard
— End-to-end analytics suite that integrates churn/CLV prediction, customer segmentation and lead scoring into a solution with data pipelines and an interactive dashboardComputer vision
A complete road traffic analysis system for roundabouts: real-time processing from multiple cameras, integration with Kafka for messaging, InfluxDB for time series storage and Grafana for interactive dashboards. Processes RTSP streams or local .mp4 files, computes per-road vehicle count and intensity (vehicles per minute), supports parallel processing.
— A complete road traffic analysis system for roundabouts: real-time processing from multiple cameras, integration with Kafka for messaging, InfluxDB for time series storage and Grafana for interactive dashboards. Processes RTSP streams or local .mp4 files, computes per-road vehicle count and intensity (vehicles per minute), supports parallel processing.Question answering, big data analysis
LLM-based Q&A on preloaded docs, raw data, Wikipedia articles and scraped web pages with knowledge graphs, analytics, charts and Streamlit interface
QASATIK is an app dedicated to helping interrogate large volumes of documents, data files and web pages. Built with Streamlit, it supports file uploads, online article scraping and querying using configurable language models (OpenAI, LangChain and LlamaIndex). In addition, it provides interactive knowledge graph visualizations, analytics and charting utilities to help explore and understand the data.
— LLM-based Q&A on preloaded docs, raw data, Wikipedia articles and scraped web pages with knowledge graphs, analytics, charts and Streamlit interfaceText analysis
Streamlit-based interface for uploading Telegram chat exports and obtaining detailed statistics/visualizations using various data analysis techniques and natural language processing. Also supports chat exports from WhatsApp.
— Streamlit-based interface for uploading Telegram chat exports and obtaining detailed statistics/visualizations using various data analysis techniques and natural language processing. Also supports chat exports from WhatsApp. 
