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Data Analyst with less than a year in SQL, Python & Tableau for business insights.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in SQL, Python, Excel, Tableau, and Power BI. Skilled in data analysis, data visualization, and dashboard development to derive actionable business insights. Strong foundation in statistical analysis and customer segmentation, seeking an entry-level role to apply analytical and problem-solving skills.
KIIT SCHOOL OF MANAGEMENT
MBA
N/A – June 30, 2025
SILICON INSTITUTE OF TECHNOLOGY
B. TECH
N/A – June 30, 2022
D.A.V PUBLIC SCHOOL POKHARIPUT
CLASS XII
N/A – May 31, 2017
MONT FORT SCHOOL
CLASS X
N/A – May 31, 2015
Luminous Infoways Ltd.
Sales and Analytics Intern
May 1, 2024 – July 1, 2024
India
Hospital Operation Analysis
January 1, 2026 – January 1, 2026
Managed and analysed regional data by using joins, group by and sub queries using SQL. Implemented data manipulation operations to analyse the database. Optimised query operation increased the data retrieval efficiency and by 40%.
Power BI Social Media Addiction Dashboard
January 1, 2026 – February 1, 2026
Built an interactive dashboard using data modelling, DAX and power query. Created calculated measure for better analysis. Improved analysis efficiency by using KPIs cards, filters, graphs and slicers.
Real Estate sales Dashboard
January 1, 2026 – March 1, 2026
Designed a dashboard having parameters, Calculated field, graphs and filters using Tableau. Analysed over 50,000 data records to study pricing and demand trends. Identified seasonal variation and difference in sales and category.
Capstone Project: Black Friday Sales
January 1, 2026 – April 1, 2026
Cleaned and validated 550,000+ transaction records using Excel (conditional formatting to highlight blank cells, handled missing values, standardized formats). Analysed 550,000+ transaction records using Python (Pandas, NumPy, Matplotlib, Seaborn) and Power BI, uncovering demographic and product-level sales trends. Identified that 76.7% of sales came from female buyers and that the 26-35 age group contributed 40% of revenue, guiding targeted marketing strategies. Discovered top product generated around ₹30M in sales which shows cross-selling and bundling strategies to boost underperforming SKUs. Detected 5,891 repeat customers and highlighted City Category B contributing around 45% of total sales, enabling loyalty program design and region-specific campaigns.
Excel E-Commerce sales Dashboard
January 1, 2025 – October 1, 2025
Cleaned and pre-processed sales data by using lookups for analysis. Tracked sales across multiple regions by using charts and pivot tables. Created a dashboard using slicers, KPIs and filters for better analysis.
Customer Credit Rating Analysis
January 1, 2025 – November 1, 2025
Performed RFM analysis to segment purchasing behaviour of customers using Python. Segregated customers into five groups for better analysis. Created Visualisation using matplotlib and seaborn for better analysis.
Statistical Project Analysis
January 1, 2025 – December 1, 2025
Performed EDA for analysing customer purchasing behaviour and monetary patterns. Conducted statistical techniques like t-test, Anova and correlation analysis.
Data Analytics Certificate
Career 247
June 1, 2026 – Present
Internship Certificate
Luminous Infoways Ltd
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analysis across various domains (hospital operations, real estate, e-commerce, social media, customer credit). This diversity suggests adaptability and a willingness to tackle different types of data challenges. The pursuit of an MBA alongside a B.Tech indicates a blend of technical and business acumen, which can be a good cultural fit for organizations valuing both analytical depth and strategic thinking. The academic nature of most projects, however, means there's less evidence of navigating real-world organizational dynamics or complex stakeholder management.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with diverse datasets and apply various analytical techniques to solve business problems. The internship experience suggests an understanding of business growth strategies and lead generation, which aligns with an operational role requiring data-driven decision-making. However, the resume does not provide explicit examples of teamwork, leadership, or problem-solving in a collaborative environment beyond project descriptions.