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Entry-level Data Analyst with Python, SQL, and Power BI expertise.
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Assessing your cultural and operational fit
Detail-oriented B.Tech Computer Science student specializing in data analytics, with hands-on experience in SQL querying, Python-based data analysis, and interactive dashboard development using Power BI. Proven ability to clean, explore, and visualize complex datasets to surface actionable business insights. Actively seeking a Data Analyst role to apply technical skills in a real-world environment.
Gandhi Engineering College (GEC), Bhubaneswar
Bachelor of Technology · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Pizza Sales SQL Analysis
June 18, 2026 – Present
Queried and analyzed a 10,000+ row pizza sales dataset to identify top-selling products, peak revenue periods, and customer ordering patterns. Applied advanced SQL techniques — multi-table JOINs, GROUP BY aggregations, subqueries, and window functions — to extract multi-dimensional business insights. Identified that the top 5 pizza SKUs contributed over 40% of total revenue, providing a data-backed basis for menu optimization recommendations. Organized findings into a structured report highlighting KPIs including daily revenue, order frequency, and category-level performance.
View ProjectCustomer Intelligence Dashboard
June 18, 2026 – Present
Designed and built an end-to-end customer behavior analysis pipeline — from raw data ingestion to interactive Power BI dashboards — to support retention strategy decisions. Performed comprehensive EDA using Python (Pandas, Matplotlib) to profile customer segments, detect churn signals, and identify high-value cohorts. Cleaned and transformed messy, inconsistent customer data to ensure analytical accuracy and reliability across all downstream reports. Delivered interactive Power BI dashboards with slicers, KPI cards, and trend visuals, enabling non-technical stakeholders to self-serve insights.
View ProjectSQL Practice Repository
June 18, 2026 – Present
Built a structured repository of 50+ SQL exercises covering data retrieval, filtering, aggregation, subqueries, and database normalization. Focused on analytical query patterns relevant to business intelligence and reporting use cases.
View ProjectCultural Fit Analysis
The candidate's focus on personal projects demonstrates initiative and a passion for data analysis outside of formal academic requirements. The diversity of projects (customer intelligence, sales analysis, SQL practice) indicates a broad interest within the data domain. The ongoing education and training suggest a growth mindset, which is a positive indicator for cultural fit in a dynamic environment. However, the lack of professional experience means cultural fit is primarily inferred from self-driven activities.
Soft Skills & Operational Fit
The candidate highlights 'Data Storytelling', 'Business Insight Generation', 'Attention to Detail', 'Structured Problem Solving', 'Fast Learner', and 'Cross-functional Communication' as key strengths. These align well with the collaborative and analytical nature of a Data Analyst role. The ongoing 'MoxieTEK' training suggests a commitment to professional development and workplace readiness.