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Jibiteshroy/README.md

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╔══════════════════════════════════════════════════════════════════════════════╗
β•‘  ⚑  6+ YRS INDUSTRIAL EXPERIENCE  β”‚  🌍  INTERNATIONAL OPS (INDONESIA)      β•‘
β•‘  🏭  PREDICTIVE MAINTENANCE AI     β”‚  ✈️   AVIATION ANALYTICS SYSTEMS         β•‘
β•‘  πŸ›’οΈ  OIL & GAS INTELLIGENCE        β”‚  πŸ“Š  ENTERPRISE KPI ENGINEERING          β•‘
β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•

Β  OPERATOR BRIEF

Who I Am

I'm a Mechanical Engineer turned Industrial AI Specialist with 6+ years of international operations experience across Indonesia, India, and the broader APAC manufacturing corridor.

I bridge the gap between heavy industry operations and modern data intelligence - designing systems that turn raw equipment telemetry, maintenance logs, and operational signals into high-fidelity predictive dashboards and executive-grade KPI architecture.

My work lives at the intersection of:

  • 🏭 Physical operations - I've managed quality control on factory floors, coordinated export logistics, and optimized supply chains
  • 🧠 Machine learning - I build failure prediction models, RUL estimators, and anomaly detection pipelines
  • πŸ“Š Business intelligence - I architect Power BI dashboards that C-suite executives rely on for operational decisions

Currently targeting: Oil & Gas Analytics, Aviation BI, Project Managment, PowerPlant Analytics/Maintenance and Industrial AI roles in the UAE and GCC region/Singapore/Indonesia/USA/Europe.


╔═══════════════════════════════╗
β•‘   SYSTEM STATUS: OPERATIONAL  β•‘
╠═══════════════════════════════╣
β•‘  Role    : Industrial AI Eng  β•‘
β•‘  Domain  : O&G β”‚ Aviation β”‚   β•‘
β•‘            Manufacturing      β•‘
β•‘  Stack   : Python β”‚ BI β”‚ ML   β•‘
β•‘  Focus   : Predictive Maint.  β•‘
β•‘  XP      : 6+ yrs Intl Ops   β•‘
β•‘  Degree  : B.Tech Mech Eng   β•‘
β•‘  Base    : Ranchi, India      β•‘
β•‘  Status  : 🟒 Open to Reloc  β•‘
β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•

Open to Work


Β  TECHNOLOGY STACK

πŸ“Š Data Analytics & Engineering

Python Pandas NumPy Scikit-Learn SQL Apache Airflow Jupyter

πŸ“ˆ Business Intelligence & Visualization

Power BI DAX Excel Matplotlib Plotly

☁️ Cloud & Enterprise Platforms

AWS Oracle Cloud SAP Git GitHub

🏭 Industrial & Operational Domains

Predictive Maintenance Lean Six Sigma Reliability Engineering Industry 4.0


⚑ EXPERTISE MATRIX

🧠 Industrial AI & ML

Predictive Maintenance     β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
Anomaly Detection          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘  Advanced
Remaining Useful Life      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  Advanced
Root Cause Analysis        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
Equipment Health Scoring   β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  Advanced
Time-Series Forecasting    β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘  Proficient

πŸ“Š Business Intelligence

Power BI Dashboard Design  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
DAX Formula Engineering    β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘  Advanced
KPI Architecture           β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
Executive Reporting        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
MIS & Operational BI       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘  Advanced
Data Storytelling          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  Advanced

🏭 Industrial Operations

Quality Control (QC/QA)    β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
Process Optimization       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘  Advanced
Lean Six Sigma             β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  Advanced
Export & Supply Chain      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
Fleet & Asset Management   β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘  Proficient
ERP / SAP Analytics        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  Advanced

☁️ Data Engineering

Python (Pandas/NumPy)      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘  Advanced
SQL & Database Design      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  Advanced
Apache Airflow Pipelines   β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘  Intermediate
AWS Cloud Services         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘  Intermediate
ETL Pipeline Design        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  Advanced
API Data Integration       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘  Intermediate

πŸš€ FLAGSHIP PROJECTS

βš™οΈ Β  AI-Powered Predictive Maintenance Dashboard Β  β€” Β  Industrial AI Β· Rotating Equipment Intelligence

Enterprise industrial analytics platform designed for rotating equipment health monitoring and ML-driven failure prediction across manufacturing and energy sectors.

πŸ”© Core Capabilities

  • ML Failure Risk Prediction β€” Scikit-learn classification pipeline for early fault detection
  • Vibration & Temperature Trends β€” Time-series monitoring with threshold alerting
  • Equipment Health Scoring β€” Composite OHI (Overall Health Index) per asset
  • RUL Estimation β€” Remaining Useful Life regression modeling
  • Downtime Cost Analytics β€” MTTR / MTBF KPI tracking
  • Maintenance KPI Dashboards β€” Power BI executive reporting layer

πŸ“ Architecture Pattern

[Sensor Data] β†’ [Python ETL] β†’ [ML Model]
      ↓               ↓             ↓
[SQL Database] ← [Processed] β†’ [Prediction]
      ↓
[Power BI Dashboard] β†’ [Alerts] β†’ [Maintenance Team]
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  ASSET HEALTH MONITOR v2.1      β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  Pump-07   OHI: 94%  🟒 GOOD   β”‚
β”‚  Motor-12  OHI: 71%  🟑 WATCH  β”‚
β”‚  Comp-03   OHI: 38%  πŸ”΄ ALERT  β”‚
β”‚  Fan-19    OHI: 88%  🟒 GOOD   β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  Predicted Failures (30d): 2    β”‚
β”‚  MTBF (Fleet Avg): 1,847 hrs   β”‚
β”‚  Maintenance Savings: $240K     β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Tech Stack

Python Power BI Scikit-Learn SQL

View Project

πŸ“Έ *Dashboard screenshot Industrial Equipment Predictive Maintenance_Dashboard


✈️ Β  Aviation Operations Analytics Platform Β  β€” Β  Airline BI Β· Flight Operations Intelligence

Enterprise-grade aviation analytics system inspired by modern airline operational intelligence frameworks. Designed for MRO, flight ops, and revenue analytics teams.

✈️ Core Capabilities

  • Flight Ops KPI Dashboards β€” On-time performance, delay patterns, gate utilization
  • Delay Trend Analytics β€” Root-cause classification of flight disruptions
  • Revenue Forecasting β€” Demand prediction with seasonality modeling
  • ESG Sustainability Reporting β€” Carbon footprint and fuel burn analytics
  • Predictive Operational Analytics β€” Schedule risk scoring per route/fleet
  • Executive Operational Reporting β€” C-suite weekly ops briefing automation

πŸ“ Data Pipeline

[Flight Data APIs] β†’ [Airflow DAGs] β†’ [SQL DWH]
       ↓                                   ↓
[Python Analytics] β†’ [KPI Engine] β†’ [Power BI]
                                         ↓
                              [Executive Dashboard]
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  FLIGHT OPS INTELLIGENCE v1.4   β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  OTP Rate:     87.4%  πŸ“ˆ +2.1%  β”‚
β”‚  Delay Risk:   14 flt  🟑 MOD  β”‚
β”‚  Fuel Effic:   102.3%  🟒 OPT  β”‚
β”‚  Rev Forecast: $4.2M   πŸ“Š +8%  β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  Cancelled Today:  3 flights    β”‚
β”‚  Diverted Today:   1 flight     β”‚
β”‚  On-Ground Alerts: 2 aircraft   β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Tech Stack

Python Apache Airflow Power BI SQL

View Project

πŸ“Έ *Dashboard screenshot Airline Bi Pipeline


🚚 Β  Fleet Optimization & Fuel Intelligence Dashboard Β  β€” Β  Asset Analytics Β· Operational Cost Intelligence

Operational intelligence platform for fleet performance optimization, fuel consumption tracking, and predictive maintenance scheduling across mixed commercial fleets.

πŸš› Core Capabilities

  • Fuel Efficiency Tracking β€” Per-vehicle consumption benchmarking and anomaly flags
  • Fleet Utilization Monitoring β€” Asset idle time, route efficiency, load factor
  • Maintenance Trend Analysis β€” Predictive scheduling based on usage patterns
  • Operational Cost Analytics β€” TCO (Total Cost of Ownership) modeling per asset
  • Driver Performance Scoring β€” Behavioral analytics for fuel optimization
  • Predictive Maintenance Insights β€” Failure probability per vehicle lifecycle stage
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  FLEET INTELLIGENCE HUB v1.0    β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  Fleet Utilization: 84.2% 🟒   β”‚
β”‚  Avg Fuel/100km:  28.4L  🟑    β”‚
β”‚  Maint Due (7d):  6 units πŸ”΄   β”‚
β”‚  Idle Cost/Day:   $1,240  πŸ“‰    β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  Best Performer:  VH-TRK-042   β”‚
β”‚  Alert:           VH-TRK-017   β”‚
β”‚  TCO Savings YTD: $87,000      β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Tech Stack

Python Power BI SQL Pandas

View Project

πŸ“Έ *Dashboard screenshot AI_Fleet_Intelligence_System_Visualization


πŸ“Š GITHUB ANALYTICS

GitHub Stats

GitHub Streak

Top Languages


πŸ“ˆ CONTRIBUTION ACTIVITY

Activity Graph


πŸ’Ό PROFESSIONAL TIMELINE

🏒

Business Intelligence & Operations Analyst Cinch India Innovations LLP Β |Β  Mar 2023 – Apr 2026 Β |Β  πŸ“ India

3 yrs

Β Β Β Β View Achievements β†’
  • πŸ“Š KPI Dashboard Architecture β€” Designed and deployed Power BI operational intelligence systems for management reporting, replacing manual Excel workflows
  • ⚑ Reporting Efficiency β€” Reduced monthly report generation cycle by automating MIS workflows using Python + Power BI data refresh pipelines
  • 🎯 Decision Intelligence β€” Built data-driven frameworks that fed directly into C-suite operational decisions across multiple business units
  • πŸ”„ Process Analytics β€” Drove analytics-led process optimization initiatives resulting in measurable operational efficiency gains

🌍

Marketing & Sales Manager PT. Rajdular Brothers, Indonesia Β |Β  Jan 2017 – Aug 2018 Β |Β  πŸ“ Indonesia

1.5 yrs

Β Β Β Β View Achievements β†’
  • 🌏 International Market Intelligence β€” Managed cross-border export analytics and international customer performance data
  • πŸ“ˆ Sales Analytics β€” Deployed data-driven sales performance analysis that improved customer acquisition rates
  • 🀝 Customer Intelligence β€” Built customer segmentation and revenue trend dashboards for strategic account management

🚒

Export & Operations Manager PT. Rajdular Brothers, Indonesia Β |Β  Oct 2015 – Jan 2017 Β |Β  πŸ“ Indonesia

1.3 yrs

Β Β Β Β View Achievements β†’
  • 🚒 Logistics Intelligence β€” Integrated shipment coordination, customs clearance, and delivery performance into unified operational reporting
  • ⏱️ On-Time Delivery β€” Improved OTD metrics through systematic process analysis and bottleneck elimination
  • πŸ”— Ops-Finance Integration β€” Developed reporting workflows that bridged logistics and financial data for unified P&L visibility

🏭

Quality Control Engineer PT. Rajdular Brothers, Indonesia Β |Β  Aug 2014 – Sep 2015 Β |Β  πŸ“ Indonesia

1 yr

Β Β Β Β View Achievements β†’
  • πŸ”¬ Quality Intelligence β€” Conducted systematic quality inspection and SPC (Statistical Process Control) analysis across manufacturing batches
  • 🎯 Root Cause Methodology β€” Applied 8D and Ishikawa RCA frameworks to reduce operational delays and defect rates
  • βš™οΈ Process Improvement β€” Supported manufacturing process optimization leading to measurable quality assurance outcomes

πŸ“œ CERTIFICATIONS & CREDENTIALS

Microsoft

IBM

Oracle

AWS

Google

Google

Six Sigma

SAP

IIM Ahmedabad

HSE


9 Professional Certifications across Data, Cloud, Engineering & Management


πŸŽ“ EDUCATION & RESEARCH

πŸ›οΈ

B.Tech β€” Mechanical Engineering GIET University Β |Β  2010 – 2014 Β |Β  πŸ“ Odisha, India

πŸ“„ Research Publication: "Utilization of Industrial Waste in Road Construction" Presented at ICMEETS 2014 β€” International Conference on Mechanical Engineering & Emerging Technology & Sustainability


πŸ”­ CURRENT FOCUS AREAS

╔══════════════╗  ╔══════════════════╗  ╔══════════════════╗  ╔══════════════╗
β•‘  πŸ›’οΈ  OIL &   β•‘  β•‘  ✈️  AVIATION    β•‘  β•‘  🏭  SMART       β•‘  β•‘  πŸ“Š  DATA    β•‘
β•‘  GAS ANALYT β•‘  β•‘  BUSINESS INTEL  β•‘  β•‘  MANUFACTURING   β•‘  β•‘  ENGINEERING β•‘
β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•  β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•  β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•  β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•
╔══════════════╗  ╔══════════════════╗  ╔══════════════════╗  ╔══════════════╗
β•‘  πŸ€–  INDUST  β•‘  β•‘  βš™οΈ  PREDICTIVE  β•‘  β•‘  🌐  INDUSTRY    β•‘  β•‘  πŸš€  UAE &   β•‘
β•‘  RIAL AI    β•‘  β•‘  MAINTENANCE AI  β•‘  β•‘  4.0 DASHBOARDS  β•‘  β•‘  GCC MARKET β•‘
β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•  β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•  β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•  β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•

🏭 INDUSTRY DOMAIN EXPERTISE

πŸ›’οΈ Oil & Gas Analytics

Upstream / Downstream BI
Production Analytics
Reservoir Performance KPIs
HSE Incident Analytics
Maintenance Intelligence
Cost per BOE Tracking

O&G

✈️ Aviation Intelligence

MRO Analytics
Flight Ops Performance
Delay Root Cause Analysis
Aircraft Utilization KPIs
Revenue Forecasting
ESG Sustainability BI

Aviation

🏭 Industrial Manufacturing

Rotating Equipment Health
Predictive Maintenance AI
OEE Performance Tracking
Quality Analytics (SPC)
Supply Chain Intelligence
Process Optimization BI

Industrial


πŸ“« CONNECT & COLLABORATE

πŸ“§ Email

Email

πŸ’Ό LinkedIn

LinkedIn

πŸ“ Location & Availability

Location Open


⚑ Engineering Philosophy

"I enjoy transforming industrial chaos into dashboards before the machines decide to transform themselves into expensive scrap metal."

β€” Jibitesh Kumar


If  MACHINE_HEALTH < threshold:
    alert("⚠️ Maintenance Required")
    build_dashboard("Root Cause Analysis")
    optimize_process()
    prevent_downtime()
    save_millions()
else:
    monitor_continuously()
    improve_kpis()

Jibitesh Kumar Β· Industrial AI & Business Intelligence Engineer Turning machine data into operational intelligence since 2014

GitHub Made with ❀️

Pinned Loading

  1. AI-Fleet-Intelligence-System AI-Fleet-Intelligence-System Public

    AI-powered fleet analytics system for predictive maintenance, fuel optimization, and driver behavior analysis.

    Python

  2. airline-bi-pipeline airline-bi-pipeline Public

    End-to-end data pipeline using Python, Snowflake, Airflow, and Power BI.

    Python

  3. Industrial-Equipment-Failure-Prediction-System Industrial-Equipment-Failure-Prediction-System Public

    An enterprise-grade AI predictive maintenance system for industrial rotating equipment. Translates sensor telemetry into actionable Power BI dashboards using Python, Scikit-Learn, and Explainable A…

    Jupyter Notebook