RESUME
Rittick Mishra

SKILLS

  • MS Excel
  • SQL
  • Power BI

LANGUAGES

  • English (Proficient)
  • Hindi (Native)

Personal Info

  • DOB : 10/01/2003
  • Marital Status : Single

Rittick Mishra

DATA ANALYSIS

PROFILE

Motivated and detail-oriented graduate with a strong interest in data analysis, Excel, SQL, and business fundamentals. Skilled in working with data, creating reports, and using logical formulas to solve real-world problems. Quick learner with a positive attitude, good communication skills, and a strong willingness to grow and contribute to a team-oriented organization.

Personal Project/s

Project Name :

Swiggy Sales Analysis Dashboard | Microsoft Excel

Description :

Tools Used: Microsoft Excel (Pivot Tables, Charts, Slicers, Data Cleaning) • Built an interactive sales dashboard in Excel to analyze ₹53M+ food delivery data. • Cleaned and organized raw data using Excel functions and structured tables. • Created KPIs such as total sales, average rating (4.34), and total orders. • Used Pivot Tables and charts to track monthly and daily sales trends. • Identified higher sales on weekends and peak-performing months. • Analyzed category-wise (veg vs non-veg) and state-wise sales performance. • Added slicers for category, month, and restaurant to make the dashboard easy to use.

Project Name :

Road Accident Analysis Dashboard | Microsoft Excel

Description :

Tools Used: Microsoft Excel (Pivot Tables, Charts, Slicers, Data Cleaning) • Built an Excel dashboard to analise road accident data with over 4 lakh total casualties • Cleaned and structured raw data to ensure accurate reporting and analysis • Created KPIs for fatal, serious, and slight casualties to track overall safety trends • Used Pivot Tables and charts to compare yearly accident trends (2021 vs 2022) • Analyzed accidents by vehicle type, road type, and road surface conditions • Identified that most accidents occurred on single carriageways and during daylight • Compared urban vs rural accident distribution to understand location-based risk • Added filters for date and area (urban/rural) to make the dashboard interactive

Project Name :

Northwind Sales & Customer Analysis | SQL

Description :

Tools used : SQL (Joins, CTEs, Window Functions, Aggregations) • Analysed sales and customer data using SQL on the Northwind dataset • Used joins across multiple tables (orders, customers, products) to extract business insights • Identified top-selling products and top 10 high-value customers based on total spending • Analyzed yearly order trends and calculated running totals using window functions • Evaluated shipping performance by identifying late deliveries and top-performing shippers

Project Name :

E-commerce Sales Dashboard | Power BI

Description :

Tools Used: Power BI, DAX, Data Visualization, Data Modeling • Developed a Power BI dashboard analysing e-commerce sales and profit trends • Created KPIs and DAX measures for performance tracking • Built interactive visuals using slicers and filters

EDUCATION

B.Tech in Computer Science Engineering

2025

Higher Secondary Certificate (ISC)

2021

Secondary School (ICSE)

2019
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