SUKESH SINGLA

HR Analytics Specialist | Workforce Planning Analyst

Business Intelligence Professional

📍 Currently: Faridabad, India | 🎯 Target: Dubai, UAE

✅ Immediate Availability | 🛂 Valid Passport: P4846924 | Open to Visa Sponsorship

About Me View Projects Contact Resume
13+
Years Experience
AED 3M+
Potential Annual Savings
50,000+
UAE Employees Analyzed
95%
WPS Compliance
30+
Certifications

Professional Summary

HR Analytics and Workforce Planning professional with 13+ years of combined experience in data analytics, financial reporting, and operations management. Proven expertise in workforce optimization, payroll analytics, budgeting, and data-driven decision-making.

🎯 Recent Achievement: Developed comprehensive HR Analytics Dashboard analyzing 3,000+ employee records, projecting $450K+ annual savings through workforce interventions and retention strategies. Built Dubai Real Estate Market Dashboard analyzing 50,000+ property transactions, demonstrating deep understanding of Dubai's real estate landscape.

Core Strengths

📊 Workforce Analytics:

Manpower planning, attrition prediction (87% ML accuracy), retention strategies, employee segmentation

💰 Financial Analysis:

7+ years managing budgeting, payroll reporting, cost optimization, and variance analysis

📈 Business Intelligence:

Power BI expert with 130+ custom DAX measures, KPI development, executive dashboards

⚙️ Operations Management:

Currently managing 500+ individuals with real-time performance tracking and resource allocation

💻 Technical Proficiency:

Power BI (Advanced), Python, SQL, Machine Learning, Excel (VBA, Financial Modelling), DAX, Statistical Analysis

Key Achievements

Workforce Cost Optimization

Projected $450K annual savings through data-driven HR interventions, identifying 429 high-risk employees and developing targeted retention strategies based on predictive analytics.

HR Analytics & Insights

Engineered enterprise-grade HR dashboard analyzing 3,000+ employee records with 60+ custom metrics covering attrition, satisfaction, demographics, compensation, and departmental trends.

Workforce Segmentation

Implemented K-Means clustering segmenting workforce into 4 behavioral groups, enabling targeted manpower strategies and resource optimization.

Financial Reporting

7+ years managing financial reporting, monthly reconciliations, budget forecasts, and cost analysis as Accounts Executive (2011-2018).

Operational Excellence

Reduced operational incidents by 25% and improved satisfaction by 30% through data-driven resource allocation for 500+ individuals.

Dubai Market Expertise

Built comprehensive dashboard analyzing 50,000+ Dubai property transactions, demonstrating understanding of local market dynamics and investment trends.

Core Competencies

Workforce Planning & Analytics

  • Manpower budgeting and forecasting
  • Headcount optimization and workload analysis
  • Workforce trend analysis and reporting
  • Attrition prediction and retention planning
  • Employee segmentation and behavioral analysis

Financial & Payroll Analytics

  • Budget preparation and variance analysis
  • Cost optimization and ROI analysis
  • Monthly financial reporting and reconciliation
  • Payroll expense tracking and forecasting
  • Department-wise cost breakdowns

Business Intelligence & Reporting

  • Power BI dashboard development
  • KPI design and performance tracking
  • Executive presentation and data storytelling
  • Predictive analytics and ML modeling
  • Real-time reporting systems

Technical Skills

Business Intelligence

  • Power BI (Advanced)
  • Tableau
  • Advanced Excel (VBA, Macros, Financial Modelling)
  • DAX & Power Query
  • SQL
  • Data Visualization | KPI Development

Data Science & ML

  • Python (Pandas, NumPy, Scikit-learn)
  • Machine Learning (K-Means, Random Forest)
  • Predictive Analytics
  • Statistical Modeling
  • Data Mining

Workforce Analytics

  • Workforce Planning
  • Manpower Budgeting
  • Payroll Analytics
  • Attrition Prediction
  • Cost Optimization
  • Performance Metrics

Featured Projects

🚗 Car Price Analysis Project

Python | Pandas | Matplotlib | Seaborn | November 2025

  • Analyzed 558,837 used car listings to identify pricing patterns and market trends
  • Cleaned and transformed raw data achieving 98.4% completeness using advanced Pandas operations
  • Developed 10 statistical visualizations revealing key price drivers and market dynamics
  • Generated actionable business recommendations projecting 15-25% ROI improvement
  • Documented complete analysis workflow in professional format with comprehensive methodology
GitHub
⭐ FLAGSHIP PROJECT

🇦🇪 Dubai Construction Workforce Analytics Dashboard

Power BI | Advanced DAX | Python | Predictive Analytics | Star Schema Data Modelling | November 2025

50,000+ Employees AED 7.75 BILLION Budget 8 Specialized Pages 130+ DAX Measures

🎯 Project Overview: Comprehensive 8-page workforce analytics dashboard monitoring 50,000+ employees across AED 7.75 BILLION in Dubai construction mega-projects including Dubai Creek Tower, Palm Jebel Ali, and 20+ major developments.

💰 Business Impact: AED 11+ BILLION Quantified Value
  • ✓ AED 8M+ penalty prevention through Emiratization compliance (10.49% achieved)
  • ✓ AED 58M annual attrition cost exposure identified via predictive analytics
  • ✓ 50,000+ employees workforce optimization across 22 mega-projects
  • ✓ AED 7.75B project budget tracking and resource allocation
  • ✓ 17,494 days lost tracked with LTIFR safety monitoring

8 Specialized Dashboard Pages

  • 1. Executive Dashboard: Real-time workforce overview with 46,124 active employees, 7.75% attrition rate, 10.49% Emiratization, 15 active projects with interactive KPIs and cross-filtering
  • 2. Emiratization Compliance 🇦🇪: MOHRE regulatory tracking with 10.49% rate (0.49% above 10% target), department-level gap analysis, AED 8M+ penalty prevention, strategic Emirati hiring recommendations
  • 3. Workforce Demographics: Analysis of 10 nationalities (India 34%, Pakistan 20%, UAE 10%), 16+ skill categories, experience matrix, gender distribution, education levels
  • 4. Attrition & Retention Analysis: Predictive flight risk algorithm identifying 13,019 high-risk employees (28%), AED 58M annual cost quantification, exit reason analysis (36% leave for 'Better Opportunity')
  • 5. Safety & Compliance: LTIFR tracking at 3.11 per 1M hours, Heat Stress monitoring (Dubai climate-specific, 11% of incidents), 92.06% training compliance, 17,494 total days lost
  • 6. Productivity & Performance: 789.71 average output per employee, 14,845 high performers identified (4+ rating), 70.58% workforce efficiency rate
  • 7. Project Analytics: 22 Dubai mega-projects tracked (Dubai Creek Tower, Palm Jebel Ali, Downtown Metro Extension), AED 7.75 BILLION budget monitoring, 15 active projects
  • 8. Financial Overview: AED 3.33 BILLION annual payroll management, AED 278M monthly payroll, AED 6,018 average salary, salary distribution by band

Technical Implementation

  • 130+ custom DAX measures: Emiratization Rate = DIVIDE(CALCULATE(COUNTROWS(employees), [Nationality]="UAE"), COUNTROWS(employees)); Flight Risk algorithm using tenure, age, performance; LTIFR = (Total Incidents / Total Hours) * 1,000,000
  • 8-table star schema: employees_master (46,124 records), exits_data, projects_master, attendance_data, safety_incidents, training_records, productivity_data with 7 optimized relationships
  • 45+ interactive visualizations: KPI cards, combo charts, stacked bars, treemaps, scatter plots, gauge charts with conditional formatting and cross-filtering enabled
  • Professional UAE-themed design: Modern teal and blue color palette, intuitive navigation, responsive layout optimized for executive presentations

Dubai Market Expertise

  • MOHRE Emiratization Compliance: Deep understanding of UAE private sector 10% requirement, department-level tracking, strategic hiring recommendations, penalty prevention strategies worth AED 8M+
  • UAE Labor Law & Safety: Heat Stress monitoring specific to Dubai climate (11% of safety incidents), outdoor working hours compliance, LTIFR industry benchmarking, WPS compliance considerations
  • Dubai Construction Sector: Knowledge of 22 mega-projects including Dubai Creek Tower (AED 1B+), Palm Jebel Ali (AED 750M), Downtown Metro Extension, Bluewaters Island
  • Multi-Nationality Workforce: Experience analyzing 10 nationalities (India, Pakistan, UAE, Bangladesh, Philippines, Egypt, Nepal, Sri Lanka, Indonesia, Jordan)
Why This Project Stands Out
  • ✓ AED 11+ BILLION quantified business value - unprecedented scale of impact
  • ✓ Emiratization mastery: 10.49% achieved, exceeding MOHRE 10% target
  • ✓ Predictive analytics: Flight risk algorithm identifying 13,019 high-risk employees
  • ✓ Dubai-specific expertise: Heat Stress monitoring, MOHRE compliance, construction sector knowledge
  • ✓ Enterprise-scale: 50,000+ employees, AED 7.75B budget, 22 mega-projects
  • ✓ Production-ready: 8 specialized pages, 130+ DAX measures, professional design
View Complete Project on GitHub Read Full Documentation

🏠 Dubai Real Estate Price Predictor

Python | Streamlit | Pandas | NumPy | Git/GitHub | Streamlit Cloud | October 2025

  • Developed full-stack web application with 4-page navigation and multi-feature analytics
  • Built property comparison tool enabling side-by-side analysis of 2-3 properties
  • Created market insights dashboard with location, type, and size impact analysis
  • Implemented investment calculator with ROI, rental yield, and timeline projections
  • Tech Stack: Python, Streamlit, Pandas, NumPy, Git/GitHub, Streamlit Cloud
  • Overcame multiple deployment challenges including dependency conflicts and file optimization
  • Result: Production-ready application with 4 pages, 10+ features, professional UI/UX
Live Demo GitHub

📊 HR Analytics Dashboard with Machine Learning

Power BI | Python | Machine Learning | DAX | Workforce Analytics | October 2025

  • Developed comprehensive HR analytics framework analyzing 3,000+ employee records with 87% attrition prediction accuracy using Random Forest ML algorithm
  • Created 60+ custom DAX measures across 6 interactive dashboards covering workforce demographics, attrition trends, compensation analysis, and department-wise performance metrics
  • Implemented K-Means clustering for workforce segmentation into 4 behavioral groups enabling targeted manpower planning
  • Delivered actionable insights projecting $450K annual cost savings through proactive retention programs and optimized workforce composition
GitHub

🏙️ Dubai Real Estate Market Analysis Dashboard

Power BI | Market Analytics | Financial Analysis | DAX | September 2025

  • Analyzed 50,000+ Dubai property transactions demonstrating deep understanding of local real estate market dynamics, pricing trends, and investment opportunities
  • Designed 5 interactive dashboards with 40+ custom financial metrics including price per sq. ft analysis, YoY growth trends, ROI calculations, and location-based segmentation
  • Delivered strategic insights on market trends and premium investment zones relevant to Dubai Holding's real estate portfolio
GitHub

Professional Experience

Operations / Accommodation Coordinator

K.R Mangalam University, Faridabad, India | November 2022 – Present

Workforce & Resource Management:
  • Manage daily operations and resource allocation for 500+ residential students
  • Accommodation planning, facility management, and safety protocols
  • Maintain real-time workforce performance databases with KPI dashboards
  • Compile daily/weekly/monthly operational reports
  • Conduct root cause analysis and data-driven resource optimization
  • Reduced operational incidents by 25% and improved satisfaction by 30%
Analytics & Reporting:
  • Developed Hostel Management System (Python, MySQL) managing 500+ records
  • Automated allocation and attendance tracking
  • Reduced administrative processing time by 40% through automation

Student Affairs & Hostel Supervisor

Rai Technology University, Bangalore | March 2018 – October 2022

  • Supervised 400+ resident students with comprehensive performance tracking systems
  • Maintained detailed operational logs tracking incidents, maintenance requests, compliance metrics
  • Tracked performance KPIs in real-time
  • Achieved 95% complaint resolution satisfaction through systematic problem-solving
  • Implemented process improvements

Accounts Executive

Bankey Bihari Industries, Faridabad | May 2011 – February 2018

Financial Management & Reporting:
  • Managed comprehensive financial operations including AR/AP, vendor reconciliation, financial record-keeping
  • Prepared monthly financial reports, budget forecasts, variance analysis using Advanced Excel
  • Analyzed dispatch data and planned production schedules
  • Optimized workflow efficiency by 20% through data-driven resource allocation
  • Collaborated with department heads to align budget forecasts with business objectives

Education

🎓 Master of Computer Applications (MCA)

2007 – 2010

Mangalam School of Management & Technology

🎓 Bachelor of Computer Applications (BCA)

2004 – 2007

Mangalam School of Management & Technology

Languages

English: Fluent | Hindi: Native

Professional Certifications

⭐ LATEST CERTIFICATION

Certificate Program in Data Analytics

Hero Vired

June 2025 – December 2025

Comprehensive 6-month program covering advanced data analytics, machine learning, and business intelligence

Data Science & Analytics (8)

Master Certificate Data Science Bootcamp

Simplilearn

Master Certificate Data Analysis

Simplilearn

Data Science with Python

Simplilearn

Data Science with R

Simplilearn

Business Analytics with Excel

Simplilearn

SQL for Data Science

Simplilearn

Statistics Essential for Data Science

Simplilearn

Career Essentials in Data Analysis

Microsoft & LinkedIn

Machine Learning & AI (5)

Machine Learning Advanced Certification

Simplilearn

Deep Learning Certification

Simplilearn

Generative AI for Data, Tech & Finance

Hero Vired

Yuva AI for All

Nasscom FutureSkills

One Million Prompters Initiative

Dubai Future Foundation

Business Intelligence & Visualization (5)

Power BI Certification

Simplilearn

Power BI Certificate

Tech Tips

Power BI Completion

PwC Switzerland (Forage)

Tableau Desktop Certification

Simplilearn

Data Visualization with Python

IBM (Simplilearn)

Programming & Development (4)

Programming Basics & Data Analytics with Python

Simplilearn

DevOps Certification

Simplilearn

Kubernetes Certification

Simplilearn

RPA Certification

Simplilearn

Industry Simulations & Projects (4)

British Airways Data Science Simulation

Forage Virtual Program

Deloitte Data Analytics Job Simulation

Forage Virtual Program

Goldman Sachs Excel Skills

Forage Virtual Program

Data Analyst Capstone

Simplilearn

30+ Professional Certifications

Continuously upgrading skills in Data Science, Machine Learning, Business Intelligence & Development

🇦🇪 Why Dubai, UAE?

Ready to contribute to Dubai's world-class organizations with advanced HR analytics and business intelligence expertise

Proven HR Analytics Expertise

Built comprehensive Dubai Construction Workforce Dashboard tracking 50,000+ employees across AED 7.75B in projects with Emiratization compliance

Dubai Market Knowledge

Analyzed 50,000+ Dubai property transactions demonstrating deep understanding of local real estate market dynamics

Financial Background

7+ years managing budgets, financial reporting, and cost analysis with proven ROI optimization

Immediate Availability

Ready to relocate to Dubai immediately with valid passport (P4846924) and open to visa sponsorship

Emiratization Ready

Demonstrated expertise in UAE workforce regulations and MOHRE compliance requirements

Dubai Foundation Certified

One Million Prompters Initiative - Dubai Future Foundation

Get In Touch

Target Roles: HR Analytics Specialist | Workforce Planning Analyst | Business Intelligence Analyst

Email

[email protected]

Phone

+91-9653552366

LinkedIn

Connect with me

GitHub

View my work