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Sneha Nainani

Sneha Nainani

Data & Business Analyst | Skilled in Excel, SQL, Power BI, Tableau & Data Visualization | Interested in Data Analysis, Business Insights, Market Research, Reporting & Data-Driven Decision Making

Nagpur, Maharashtra, India

@sneha_nainani

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🎓 M.Sc. Zoology at Rashtrasant Tukadoji Maharaj Nagpur University · Graduating 2027

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About

Entry-level Data Analyst and Business Analytics candidate with hands-on experience in data cleaning, validation, SQL querying, Excel analysis, dashboard development, and data visualization. Strong analytical and reporting skills with a focus on turning raw data into clear, meaningful insights.

Experience

  • AI Data Analytics
    InAmigos Foundation

    Cleaned and validated datasets to identify missing, duplicate, and inconsistent data. Used Excel for data cleaning, analysis, and basic visualization. Performed exploratory analysis to identify trends and patterns. Prepared insights and reports to support data-driven decision-making.

Education

  • M.Sc.
    MAK College Hinganghat
    Zoology · 2025 – 2027
  • B.Sc.
    MAK College Hinganghat
    Chemistry · 2022 – 2025

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL Python Countif Dashboards Subqueries KPI Analysis If Functions Data Cleaning Google Sheets Trend analysis Data validation Microsoft Excel Data Interpretation Conditional Formatting Exploratory Data Analysis

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
GitHub Tableau Microsoft Excel MySQL Workbench Jupyter Notebook Microsoft Power BI Microsoft SQL Server

Languages

Not stated Not stated No level given for this one.
Hindi Speak Sindhi Speak English Speak

Projects

  • Bike Stores Sales & Revenue Analysis
    SQL, Excel

    Analysed retail sales data using SQL and Excel across orders, customers, products, categories, stores, and sales staff. Calculated key metrics such as total units sold and revenue using SQL aggregation. Used JOINs and grouped analysis to evaluate product, category, store, and sales performance. Created analytical reports and dashboards to communicate business performance.

  • Ola Ride Booking Data Analysis
    Excel

    Analysed ride-booking data to understand booking patterns, ride status, cancellations, and customer/driver trends. Cleaned and organized raw data for analysis and identified key performance indicators. Created visual summaries to communicate trends and business insights clearly.

Courses & certifications

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