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Skilleze Technologies

Data Analytics Internship in Nagpur (Online + Offline)

Work-experience analytics internship solving real business data problems, building SQL pipelines, writing reproducible Python notebooks, and delivering executive Power BI dashboards.

Official Internship Brochure

Generated: 2026

Duration

2 to 3 Months (Track dependent)

Mode

Offline at Nagpur Office / Hybrid / Remote live

Document

Official Offer / Selection Letter

Milestone Plan & Deliverables

Phase 1:Data Extraction, Ingestion & Relational Schema Setup

Weeks 1–2

Focus: Connecting to raw data sources, building normalized PostgreSQL tables, and writing advanced SQL queries (CTEs, window functions).

Submission: SQL script repository, database ERD schema, and data profiling audit report.

Gate Review Criteria:Lead review of SQL query efficiency, indexing, and data modeling accuracy.

Phase 2:Exploratory Analysis, Data Cleaning & Feature Engineering

Weeks 3–5

Focus: Handling missing values, outlier detection, statistical distributions, and hypothesis validation using Python and Pandas.

Submission: Documented Jupyter notebooks with reproducible transformations and statistical commentary.

Gate Review Criteria:Peer review of analytical rigor, transformation reproducibility, and statistical interpretations.

Phase 3:Interactive Dashboard Engineering & Executive Storytelling

Weeks 6–8

Focus: Designing Power BI / Tableau dashboards with DAX measures, dynamic parameters, and UX design best practices.

Submission: Published live dashboard file, data dictionary, and 5-minute video walkthrough explaining key insights.

Gate Review Criteria:Executive dashboard review evaluating business impact and visual hierarchy.

Phase 4:Career Accelerator, Portfolio Publishing & Mock Interviews

Weeks 9–10

Focus: Assembling GitHub analytics portfolio, optimizing ATS resume for Data Analyst roles, and business case mock vivas.

Submission: Public portfolio page linking to GitHub case studies, live dashboard links, and finalized ATS resume.

Gate Review Criteria:Exit presentation, technical evaluation, and issuance of verified experience certificate.

Graduation Deliverables

2 Comprehensive Industry Analytics Projects

End-to-end data portfolios featuring complex SQL transformations, exploratory Python notebooks, and live BI dashboards.

Public Analytics Portfolio on GitHub

Structured repository with business problem briefs, reproducible cleaning scripts, and exported report summaries.

Interactive Power BI / Tableau Dashboards

Production dashboards hosted online with custom DAX calculations, interactive filters, and drill-through views.

ATS-Formatted Data Analyst Resume

Targeted resume highlighting technical tools (SQL, Python, BI), business metrics, and project impact.

Business Case & SQL Mock Interviews

One-on-one mock interview sessions focusing on live SQL query challenges, business case scenarios, and metric breakdowns.

Verifiable Experience Certificate

Official company certificate with tamper-proof QR code linking to your published GitHub analytics repositories.

Eligibility Criteria

Year of Study: 2nd, 3rd, or final year students (B.E., B.Tech, BCA, MCA, B.Sc, B.Com, MBA)

Branches: Engineering, Computer Applications, Mathematics, Statistics, Commerce, or related fields

Non-IT: Non-CS graduates and finance/business professionals with basic quantitative and spreadsheet aptitude

Working Professionals: Professionals from sales, marketing, operations, or finance seeking transition into Business Intelligence or Data Analyst roles

Prior Skill Expectation: Basic familiarity with spreadsheets (Excel/Google Sheets) and foundational interest in data and logic <<CONFIRM per Prompt 0>>; direct entry requires completing a short data exploration task