Hello, I'm

Shankar Sapkota

AI Researcher | IT Specialist

PhD Candidate in Human-AI Science and IT Support Specialist with 6+ years of experience in technical operations, project coordination, and data analysis. Transforming complex data into strategic business impact with a strong background in automation, Business Intelligence, performance management, and AI policy. Based in Helsinki, Finland.

View Work 
class ITSpecialist:
  def __init__(self):
    self.role = "IT Specialist"
    self.status = "PhD Candidate"
    
  def integrate_and_analyze(self, data):
    return "AI Integration & Analysis"

About Me

Key Major Skills

Business Intelligence Predictive Modeling Chatbot & AI Agent Development API Integration Customer Support

Core Skills

IT Support & Troubleshooting
Ticketing (Jira, Asana, Monday)
Network & System Monitoring
IAM (Auth0, Entra ID)
UEM (Microsoft Intune)
Automation (Power Automate, Zapier)
BI (Tableau, Power BI, Excel)
Incident & Client Governance
Cloud & OS (Linux, Windows, AWS)
Python, SQL & AI Tools
6+ Years
Experience
MSc LUT
University
PhD Candidate
(2026)

Tech Stack & Tools

Python OpenAI / LLMs Supabase LangChain Hugging Face PyTorch Docker AWS SQL Power BI

Featured Projects

Infrastructure & AI

Infrastructure Monitoring & Alert AI

  • Deployed containerized monitoring stack using Docker & Grafana for real-time metrics across servers.
  • Implemented Git-based Infrastructure-as-Code (IaC) for server configuration management.
  • Designed alert rules and dashboards tracking CPU, memory, disk, and network, reducing incident detection time by 40%.
  • Developed conversational AI chatbot for server status queries, daily health summaries, and incident alerts.
  • Deployed an autonomous AI Agent acting as a tech support handler to resolve server problems.
Docker Grafana IaC AI Agent
ML & Agents

Personal Agent Monitoring

  • Designed an ML-driven anomaly detection system using Python to analyze real-time streaming data for project scrap identification.
  • Integrated predictive modeling to enable proactive issue resolution, achieving a 25% reduction in unplanned system downtime.
  • Configured and personally deployed the OpenClaw Agent framework integrated with a customized LLM model.
  • Developed an automated content pipeline to manage a personal project blog system, ensuring daily posting and maintenance.
  • Built self-monitoring agent hooks to track posting health, detect delivery anomalies, and auto-recover from system interruptions.
Python Anomaly Detection OpenClaw LLM
Data Science

Customer Churn & Market Basket

  • Engineered a customer segmentation pipeline using K-Means clustering algorithms on large-scale historical transaction databases.
  • Identified high churn-risk customer segments through behavioral pattern classification and predictive analytics.
  • Formulated and executed targeted retention campaigns that successfully achieved a 45% reduction in customer churn.
  • Conducted Market Basket Analysis (association rule mining) to map customer purchase relationships and co-occurrences.
  • Integrated insights into a strategic business framework to drive product placement, cross-selling, and promotion planning.
K-Means Clustering Churn Prediction Analytics
Data Center

Data Center Operations Analysis

  • Conducted performance analysis on server logs using SQL and Python to identify optimization opportunities.
  • Documented findings and strategic recommendations for infrastructure improvement.
SQL Python Log Analysis Operations
LUT University

IBM Stock Market AI

Forecasted stock performance using Advanced ML (RNN, LSTM, Transformers) to optimize investment strategies.

Transformers LSTM Finance
Imbibe

Breast Cancer Prediction

Developed predictive algorithms for early tumor detection, analyzing health data for medical professionals.

Python Healthcare AI
Imbibe

AI Virtual Trading

Simulated trading platform with $1000 virtual funds and real-time AI buy/sell recommendations.

Trading Bot MySQL
Imbibe

Nirvana AI Horoscope

Innovative platform blending traditional astrology with AI to deliver personalized future predictions.

Astrology GenAI App
LUT University

NASA Sensor Failure

Predicting turbofan failures using PCA and computational analysis for predictive maintenance.

PCA Engineering Data
Imbibe

ML Plagiarism Detect

Ensuring academic integrity using cutting-edge ML for text analysis and sentiment ratings.

NLP Security ML
Nokia

Risk Heatmap & BI

Designed visual frameworks for strategic performance evaluation and risk assessment.

Tableau Strategy BI
Research

Kepler Humanoid Robot

AI Humanoid Robot built using Python, Raspberry Pi, and Arduino with 7+ sensors and app integration.

Robotics IoT AI
Research

KTMSAT Satellite

Portable satellite prototype utilizing sensors for temp, humidity, and altitude data transmission.

C++ Arduino Sensors
Web

Library System

Complete software solution for library management including fines, book tracking, and staff portal.

PHP MySQL Java
App

Track the Number

Flask app integrated with TrueCaller API to track phone number details and location.

Python Flask API
Experimental

Einstein the Jyotish

Digital astrology platform providing futures predictions using Python datasets and astrological algorithms.

Python Data Algorithm
Web

Timer Clock

Interactive web-based timer and clock utility with custom alerts.

JS HTML CSS

My Journey

Information Technology Specialist

Imbibe Profession, Finland

Aug 2025 – Present
  • Drive performance improvements, automations, & system architecture discussions
  • Maintain Grafana Enterprise Logs & implement CI/CD pipelines using GitLab CI
  • Manage identity & access management (IAM): Auth0 / Microsoft Entra ID
  • Administer device management (UEM) through Microsoft Intune for enterprise security
  • Implement automation workflows using Power Automate and Zapier
  • Configure role-based access controls (RBAC) and Zero Trust Network Access (ZTNA)
  • Create IT documentation in Confluence and design troubleshooting guides in Asana
  • Implemented agile frameworks improving team velocity by 30% and reducing cycle time by 20%

Business Strategy & Admin - Performance Management

Nokia (Espoo, Finland)

Jun 2024 – Jul 2025
  • Developed and implemented performance management frameworks and metrics to align organizational goals
  • Contributed to the design and analysis of the Risk & Opportunity Heatmap and Analysis System
  • Automated project performance management using Python, PowerApps, Node, and MS Planner
  • Conducted Business Intelligence analysis utilizing PowerBI, Stata, Python, Tableau, and Dundas
  • Managed B2B client governance through Salesforce Marketing and Studio 360
  • Collaborated with cross-functional teams and presented performance reports to senior management
  • Configured Azure Reporting and Credentials management processes (Azure, AWS)
  • Led Python ML development using Matplotlib, PyTorch, Scikit-learn, Pandas, and TensorFlow

Technical Solutions Analyst (CX)

Imbibe Profession, Finland

Aug 2023 – May 2024
  • Built interactive dashboards in Tableau and Power BI, reducing report generation time by 40%
  • Monitored and maintained 20+ servers and cloud instances, achieving 99.5% system uptime
  • Facilitated daily stand-ups and stakeholder meetings to improve team alignment and reduce bottlenecks
  • Created and maintained comprehensive IT documentation and troubleshooting guides for support teams
  • Assisted clients with API integration setup, reducing onboarding time by 20%

Master's of Science in Computational Engineering, Business Analytics

LUT University, Finland

Sep 2022 – Sep 2024
  • Proficiency in ML & algorithms for advanced pattern recognition and prediction tasks
  • AI Model development: training, fine-tuning existing models, and probabilistic simulation
  • Advanced decision processing, big data mining, and statistical parameter estimation
  • Raw data preprocessing, semi-supervised modeling, and GPT API integration
  • Thesis: Predicting smart contract vulnerabilities in blockchain systems to prevent fraud and financial loss
  • Activities: European Engineering Union, TEK Member, MBAN Community, Finland-Developers Society

Team Lead - Analyst(Customer Experience & Governance)

InOne Smart Technology (China)

March 2022 – Sept 2022

Plan, Design, Monitor & Evaluate System for Smartphone Manufacturing.

Data Analyst Team Lead

eSewa Fonepay Pvt. Ltd.

Dec 2021 – March 2022

KPI meet-up, Manage Campaign, ROI & Metrices Tracking, Lead Team.

Data Analyst Officer (CX)

eSewa Fonepay Pvt. Ltd.

Sept 2021 – Dec 2021

Customer Profiling/Acquisition, Retention & Churn Analysis, Predicting Model.

Unit Team Lead - (Tech Engineering System)

India Fintech Management Ltd

Nov 2020 – Aug 2022

Performance Monitoring, Team Management, Schema Design and Planning,Backup and Recovery.

Sr. Backend Developer

India Fintech Management Ltd

Nov 2018 – Oct 2020

Develop APIs,Managing hosting, Maintain Database, Debugging.

Frontend/Backend Developer

Various (AWS Elemental, Freelance)

Mar 2018 – Aug 2018

Foundational years in software engineering, cloud access, and web development.

Community & Volunteering

Slush

Customer Success

Sep 2023 - Oct 2023

  • Promotion of SLUSH Values
  • Event Logistics & Support
  • Networking Assistance
CRM Data Analysis Support
Junction

Communication & Marketing

Jun 2023 - Aug 2023

  • Business Development
  • Hackathon Organization
  • Marketing Strategy
Marketing Management Events

Licenses & Certifications

Nokia

GitHub Copilot: AI-powered programming Assistant

Issued Jun 2024

CEPHEI

Artificial Inventiveness

Issued Oct 2022

MathWorks

Data Processing and Visualization

Issued Oct 2022

MATLAB Coding

MATLAB Programming Techniques

Issued Oct 2022

Let's Work Together

Interested in AI Strategy, Data Analytics, or collaborations? Let's connect.

hi@shankarsapkota.com.np
linkedin.com/in/shankarsapkota
Helsinki, Finland