UNUtkarsh Nagare
Open to analytics engineering roles

Utkarsh Nagare

Analytics Engineer

Building Data Products That Transform Business Decisions

Data analytics engineer with hands-on expertise in SQL, Python, Power BI, and PDF reporting. Specialized in operational analytics and dashboard design. Currently seeking a paid data analyst internship role.

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Tools & skills

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Certifications

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Roles & education

Pune, Maharashtra, India

About

I build scalable data products, dashboards and BI systems.

Building Data Products That Transform Business Decisions

Data analytics engineer with hands-on expertise in SQL, Python, Power BI, and PDF reporting. Specialized in operational analytics, dashboard design, and turning raw data into decision-ready insights for business teams.

My focus is turning raw, messy data into trustworthy models, clear metrics and decision-ready dashboards that business teams actually use.

Role
Analytics Engineer
Location
Pune, Maharashtra, India
Email
utkarshnagare889@gmail.com

Résumé

One page, recruiter ready

A concise, ATS-friendly résumé covering analytics engineering skills, projects and education.

Preview of the résumé document
ATS optimizedLast updated · August 2026
  • SQL
  • Python
  • Power BI
  • PostgreSQL
  • Microsoft Fabric
  • Analytics Engineering
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Timeline

The path so far

From computer science fundamentals to production-grade analytics work.

  1. 2023

    • Started B.Sc Computer Science

  2. 2024

    • Learned Python, SQL & Data Analysis

  3. 2025

    • Built Power BI dashboards and real-world analytics projects

  4. 2026

    • Built Analytics Engineer Portfolio
    • Learning Microsoft Fabric
    • Seeking Data Analyst / Analytics Engineer opportunities

Skills

The analytics stack I work with

Languages, databases, visualization and tooling grouped by discipline.

Programming

  • Pysparklearning
  • Python

Data Analytics

  • SQL
  • Pandas
  • NumPy

Visualization

  • Power BI
  • Excel

Tools

  • Git
  • GitHub
  • Jupyter

Learning

  • Machine Learninglearning
  • Statisticslearning
  • Advanced SQLlearning
  • Next.jslearning

Experience

Experience & education

Roles, responsibilities and academic background.

Inventory Executive

Blinkit · Pune, Maharashtra

Professional Experience

Apr 2025 – May 2025

  • Managed inventory accuracy and stock reconciliation in a high-volume retail environment.
  • Monitored stock movement, replenishment, and fulfillment operations.
  • Worked with operational KPIs including inventory availability and order efficiency.
  • Collaborated with warehouse teams to ensure smooth daily operations.
  • Developed practical understanding of retail analytics and business workflows.
  • Inventory Management
  • Operations Analytics
  • Excel
  • Business KPIs
  • Problem Solving

Bachelor of Science in Computer Science

SCS College, Akurdi · Pune, Maharashtra

Current

2023 – Present

  • Learning SQL, Python, Power BI, Statistics, and Business Intelligence.
  • Building real-world analytics projects using Python and Power BI.
  • Strengthening data analysis, visualization, and problem-solving skills.
  • Continuously improving through self-learning and hands-on projects.
  • Python
  • SQL
  • Power BI
  • Pandas
  • Data Analysis

Projects

Selected data products

End-to-end analytics work: modelling, analysis and decision-ready dashboards.

AI Powered - Dark Store Operations Loss Attribution & Efficiency Analysis previewFeatured

AI Powered - Dark Store Operations Loss Attribution & Efficiency Analysis

Developed an AI-powered Streamlit application using Ollama (Llama 3.2) to generate executive insights and prioritized recommendations from verified analytical findings Dark-store operations involve high-velocity inventory movement across receiving, storage, picking, packing, and dispatch. Operational incidents such as handling errors, picking mistakes, expiry, packaging issues, product defects, and storage-related problems can create recurring financial losses.

  • Power BI
  • python
  • SQL
  • KPIs Engineering
  • Feature Engineering
  • Dashborad
  • Excel
  • DAX
  • ollama (for AI genreated Insights)
  • Built KPI dashboard.
  • Analyzed Loss Drivers
  • Generated business recommendations.
Code Live demo
Household Expense Analytics preview

Household Expense Analytics

Exploratory data analysis of household expenses using Python, Pandas and Matplotlib with business-focused visualizations.

  • Python
  • Pandas
  • Matplotlib
  • Analyzed monthly spending trends.
  • Identified major expense categories.
  • Created visual reports for budgeting.
Code Live demo
Market Sentiment Trader Behavior Analysis previewFeatured

Market Sentiment Trader Behavior Analysis

Analyzed the relationship between Bitcoin Fear & Greed Index and Hyperliquid trader behavior using Python, Pandas and visualization.

  • Python
  • Pandas
  • Matplotlib
  • Compared trader positioning with market sentiment.
  • Visualized market trends.
  • Generated actionable trading insights.
Code Live demo
Customer Churn Analysis previewFeatured

Customer Churn Analysis

End-to-end customer churn analysis using Python, SQL concepts, and Power BI with interactive dashboards and actionable business insights.

  • Python
  • SQL
  • Power BI
  • Pandas
  • Identified high-risk customer segments.
  • Built interactive Power BI dashboard.
  • Suggested customer retention strategies.
Code Live demo

Certifications

Credentials & continued learning

Completed certifications and the tracks currently in progress.

Completed

Deloitte Australia — Technology Job Simulation (Forage)

Deloitte

June 30th, 2026

Learning

Microsoft Fabric Analytics Engineering

Microsoft

Contact

Let's talk about your data, dashboards and reporting stack.

Available for analytics engineering roles, BI projects and dashboard builds. I reply to every serious enquiry within 24 hours.

utkarshnagare889@gmail.com
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