RESUME
Aritra Mondal

SKILLS

  • MS Excel, SQL, Power Bi, Python

certificates

    LANGUAGES

    • English (Advanced)
    • Bengali (Native)
    • Hindi (Intermediate)

    Interest

    • Watching Formula 1
    • Playing cricket

    Personal Info

    • DOB : 02/08/1998
    • Marital Status : Single

    Aritra Mondal

    Data analyst

    PROFILE

    Aspiring Data Analyst with a strong foundation in statistical analysis, data visualization, and database management. Proficient in Excel, SQL, Python, and Tableau. Passionate about leveraging data-driven insights to solve complex problems and drive business decisions. Eager to apply my analytical skills and enthusiasm for data in a dynamic and growth-oriented organization.

    Personal Project/s

    Project Name :

    Bike sales data analysis using MS Excel

    Description :

    • Analyzed bike sales dataset in Microsoft Excel to uncover customer demographics, income patterns, and factors influencing purchase decisions.

    • Cleaned and transformed raw data using Excel functions (IF, VLOOKUP/XLOOKUP, TEXT, data validation) to ensure accuracy and consistency.

    • Created Pivot Tables and Pivot Charts to evaluate sales trends by age group, gender, region, and commute distance.

    • Built an interactive dashboard with slicers and KPIs to visualize bike purchase behavior and key sales insights.

    • Generated actionable insights to support marketing targeting and product positioning strategies.

    Project Name :

    Product Sales Data Analysis using MS Excel

    Description :

    • Analyzed product sales dataset in Microsoft Excel to evaluate revenue trends, product performance, and regional sales distribution.

    • Cleaned and structured raw sales data using Excel functions (IF, XLOOKUP/VLOOKUP, TEXT, conditional formatting) to ensure data accuracy.

    • Built Pivot Tables and Pivot Charts to compare category-wise sales, monthly revenue trends, and top-selling products.

    • Developed an interactive Excel dashboard with slicers and KPI metrics (total sales, profit, growth %) for business insights.

    • Derived actionable insights to support inventory planning, pricing strategy, and sales optimization.

    Project Name :

    Retail sales data analysis using SQL

    Description :

    • Analyzed retail sales dataset using SQL to extract insights on product performance, customer purchasing behavior, and regional sales trends.

    • Designed and executed complex SQL queries (JOIN, GROUP BY, window functions) to compute KPIs such as revenue, average order value, and category-wise sales contribution.

    • Identified top-selling products and high-value customers through aggregation and ranking techniques, enabling data-driven business insights.

    • Performed data cleaning and transformation in SQL to handle missing values and ensure accurate reporting.

    • Developed summary tables and reports to support decision-making for inventory planning and marketing strategy.

    Project Name :

    Zepto sales analysis using SQL

    Description :

    • Performed sales and order analysis on Zepto quick-commerce dataset using SQL to evaluate product demand, customer ordering patterns, and city-wise revenue trends.
    • Wrote complex SQL queries (JOIN, GROUP BY, CTEs, window functions) to calculate KPIs such as total revenue, average order value, repeat purchase rate, and top-selling categories.
    • Identified high-frequency customers and peak ordering hours through aggregation and ranking techniques to uncover behavioral insights.
    • Cleaned and transformed transactional data in SQL to handle missing values, duplicates, and inconsistent product/category records.
    • Generated analytical tables and summary reports to support inventory planning, assortment optimization, and targeted promotions.

    Project Name :

    F1 driver telemetry comparison

    Project Url :

    Description :

    Analyzed historical Formula 1 datasets using Python to evaluate driver and team performance. Focused on extracting trends, patterns, and insights from race results across multiple seasons. Studied driver performance, consistency, and competitiveness using key metrics like points and wins.
    Aimed to compare drivers and teams while identifying performance trends over time. Utilized Python along with Pandas and NumPy for data manipulation and computation.
    Applied Matplotlib and Seaborn for creating meaningful visualizations. Handled missing values, corrected inconsistent formats, and ensured data quality.
    Merged multiple datasets to create a unified dataset for analysis. Compared performance between drivers and across teams to identify dominance.
    Analyzed seasonal trends to highlight top-performing drivers and constructors.

    Experience/s

    28/07/2022 - 11/04/2024

    Company :

    V5 Global

    Designation :

    System Engineer

    Description :

    🔹Developed & Optimized System Processes •Designed and implemented scalable backend solutions using Flask/Django, improving overall system efficiency. 🔹Network & Database Management •Developed SQL queries & stored procedures in MySQL and MS Excel to improve data retrieval and management. 🔹System Deployment & Maintenance •Coordinated with multiple teams across different regions to ensure smooth system deployment and ongoing maintenance. •Worked collaboratively to manage service rollouts, improve performance, and maintain high availability of systems 🔹Troubleshooting & Support •Monitored system performance and activity logsto identify issues.

    EDUCATION

    Bachelors in Technology (Computer Science) (6.7)

    2020
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