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shahbazbaig38/README.md

🧠 About / Professional Summary

As an RDI Specialist at Savonia University of Applied Sciences and a PhD candidate at the University of Eastern Finland, I work at the intersection of AI, IoT, and sustainability. My expertise includes data science, spatial analysis, and renewable energy systems, with a strong track record in research, teaching, and leading AI-driven innovation projects.

I have led and contributed to interdisciplinary initiatives such as ÄLLITÄ (AI-powered energy efficiency analytics) and AMBITIOUS (smart water management leveraging AI, 5G, and IoT), applying advanced Python-based exploratory analysis, AWS-powered cloud analytics, and real-world AI deployments in infrastructure environments. My work supports regional development through projects advancing energy, climate resilience, and circular bioeconomy.

🌟 Highlighted Projects & RDI Contributions

ÄLLITÄ – Smart Energy & AI Innovation

  • Regional project advancing predictive energy analytics, building energy efficiency, and renewable energy forecasting for North Savo.
  • Performed exploratory data analysis on hourly electricity consumption (Jan 2023–Apr 2024), engineered features, and built predictive models to optimize energy management.
  • Published project progress and insights on Savonia’s DigiCenter platform.

AMBITIOUS – Smart Water Management with AI, 5G, IoT

  • EU-funded consortium (Finland, Sweden, Italy, Greece, Netherlands) for flood prediction and climate resilience using sensor networks and low-latency communication.
  • Designed and integrated AI-powered flood prediction systems using real-time sensor, climate, and WaterLAB testbed data.
  • Supported pilot deployments in the Kuopio Water Cluster, enhancing infrastructure resilience.

🔹 Experience Bullets

Savonia University of Applied Sciences (RDI Specialist)

  • Lead analytics for ÄLLITÄ, modeling energy consumption patterns and performing advanced feature engineering for smart buildings.
  • Developed flood prediction and climate resilience models for AMBITIOUS, utilizing sensor, climate, and WaterLAB data.
  • Authored web articles and visualizations on project progress for Savonia’s DigiCenter.

University of Eastern Finland (Visiting Researcher)

  • Conduct doctoral research on renewable energy systems, LiDAR data processing, and spatial analytics.
  • Supported regional RDI efforts.

🏆 Achievements & Certifications

  • International Conference Publication:
    “Spatio-Temporal Analysis to Predict Environmental Influence on Malaria” — funded by Pakistan’s Higher Education Commission; recipient of grant and Laptop Award. Savonia Heroes Award

  • Teaching Excellence:
    Punjab Government Star Teacher Award (taught mathematics and computer science for five years).

  • Certifications:

    • AWS Educate (cloud ops, compute, security, storage, RDS, EC2)
    • freeCodeCamp (Data Analysis with Python)
    • McKinsey Forward Program
    • InfoCom.gr Conference (AI/Analytics)
    • DigiSkills.pk (Data, Cloud, Analytics)

Pinned Loading

  1. DeepLearningExercises DeepLearningExercises Public

    Jupyter Notebook

  2. public_building_helsinki_electricity_forecasting public_building_helsinki_electricity_forecasting Public

    This repo contains electricity data from Päiväkoti Les Galopins, Helsinki using Nuuka open API. Analysis and ML forecasting of electricity data is the focus of this repo.

    Python

  3. vulnerability_analysis_hugging_face vulnerability_analysis_hugging_face Public

    Vulnerability Severity Classification

    Python

  4. vuosaari_elec_forecasting vuosaari_elec_forecasting Public

    Real time electricity forecasting for Vuosaari School in Helsinki

    Jupyter Notebook 3