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Data Analyst with 2+ years in Python, SQL, & Tableau, backed by full-stack engineering skills.
Results-driven Data Analyst with hands-on experience turning raw data into actionable business insights. Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, and Tableau, with a track record of delivering end-to-end analytics solutions — from exploratory data analysis and customer segmentation to interactive KPI dashboards. Uniquely backed by a full-stack engineering background (Next.js, PostgreSQL, AWS), enabling seamless ownership of the complete data pipeline, from database design to production-deployed applications. Adept at translating complex data findings into clear, decision-ready narratives for both technical and non-technical stakeholders. Actively seeking a data analyst role where analytical depth and engineering fluency can drive measurable business impact.
JIS College of Engineering, West Bengal
Master of Computer Applications (MCA)
January 1, 2023 – January 1, 2025
MAKAUT
Bachelor of Computer Applications (BCA)
January 1, 2020 – January 1, 2023
Freelance / Self-Employed
Full-Stack Developer (Independent)
January 1, 2024 – Present
India
Superstore Sales Analysis
June 16, 2026 – Present
Performed end-to-end EDA on 9,994 order records across 4 regions and 3 categories; identified West (~25K) as the top revenue region and Technology (~36K) as highest-grossing category. Visualised 4-year monthly sales trend; isolated November-December as consistent peak months — directly applicable to inventory planning and seasonal marketing decisions. Ranked Top 10 products by total revenue — Canon imageCLASS 2200 Copier led at 1.6K, nearly 2.5× the second-highest product, surfacing high-priority SKUs for sales focus.
Customer Analytics
June 16, 2026 – Present
Built a SQL-powered analytics pipeline using SQLAlchemy to query a relational database directly from Jupyter, combining SQL aggregation with Python visualisation end-to-end. Identified top 10 customers by lifetime revenue via GROUP BY queries (Sean Miller: 5,043); segmented New vs Returning cohorts revealing a 92.9% retention rate. Mapped customer distribution across regions — South (512 customers) underperforms vs West (686) — flagging a concrete geographic growth opportunity.
View ProjectHR Analytics Dashboard
June 16, 2026 – Present
Designed a multi-view Tableau dashboard for 1,470 employees with KPI cards: attrition rate 16.12%, active headcount 1,233, average age 37, and attrition breakdown by gender. Built department-wise attrition pie (Sales 56.12%, R&D 38.82%), job satisfaction heatmap by role, education-field bar chart, and gender-age donut charts with Education filter for drill-down.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from sales analysis to customer analytics and HR dashboards, demonstrates adaptability and a broad interest in applying data skills across different business domains. The independent full-stack developer experience shows initiative and a self-starter mentality. The combination of analytical depth and engineering fluency aligns well with a culture that values end-to-end ownership and practical application of skills. The target role of Data Analyst is well-aligned with the candidate's demonstrated project experience.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a results-driven approach and the ability to work independently (as a freelance developer). The emphasis on translating complex data into actionable insights suggests strong problem-solving and communication skills relevant for a Data Analyst role. The full-stack background indicates a proactive and holistic view of data solutions, which can be a significant asset in operational environments.