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Associate Data Analyst with less than a year in SQL, Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in SQL, Python, Power BI, Excel, and Data Visualization. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, KPI reporting, and business intelligence. Experienced in transforming raw data into actionable insights through analytical projects involving HR Analytics and Sales Analytics. Strong understanding of statistical analysis, database management, and data-driven decision-making.
IMT, Maharshi Dayanand University
Bachelor of Computer Applications (BCA)
August 1, 2023 – June 30, 2026
BSEH
Higher Secondary
June 1, 2022 – May 31, 2023
BSEH
Secondary
June 1, 2021 – May 31, 2022
Social Media Performance Analysis Dashboard
June 1, 2026 – Present
Built an interactive Excel dashboard to analyze social media performance using KPI cards, Pivot Charts, and dynamic slicers. Cleaned, transformed, and modeled raw data with Power Query to ensure accurate and reliable reporting. Analyzed engagement, impressions, reach, clicks, CTR, and content performance to identify key business insights. Prepared an MIS report with actionable recommendations, enabling data-driven decision-making through interactive visualizations.
View ProjectPizza Sales Analytics Dashboard
June 1, 2026 – Present
Built an interactive dashboard with structured sections for KPIs, sales trends, and Top/Bottom product analysis. Used Power BI with DAX, Power Query, and Excel for data cleaning, modeling, and visualization. Implemented KPIs (Revenue, Orders, AOV, Quantity) and visuals like bar, line charts, and slicers for analysis. Identified best/low-performing pizzas, peak sales periods, and customer ordering patterns. Enabled better decisions on menu optimization, pricing, and inventory planning through data-driven insights.
View ProjectE-Commerce Sales Analysis using SQL
June 1, 2026 – Present
Designed a relational database and analyzed six interconnected e-commerce datasets using MySQL. Wrote complex SQL queries using Joins, Subqueries, Aggregate Functions, CASE Statements, and Window Functions. Generated business insights including revenue analysis, customer segmentation, order trends, and review classification. Performed customer spending analysis and calculated cumulative revenue using SQL window functions. Optimized data retrieval and solved 14+ real-world business problems to support data-driven decision-making.
View ProjectSQL
HackerRank
June 1, 2026 – Present
AI Powered Data Analytics Course
Code With Harry
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a proactive and self-driven approach to learning and applying data analysis skills. The diversity of projects (social media, pizza sales, e-commerce) indicates a broad interest in applying data analytics across different domains. The focus on practical, project-based learning suggests a candidate who is eager to contribute and continuously improve, which is a positive indicator for cultural fit in a dynamic team environment. However, the lack of professional experience means cultural fit is primarily assessed on project work and self-reported skills.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, analytical thinking, communication, team collaboration, project management, and time management as core competencies. These align well with the demands of a data analyst role, which requires strong analytical and collaborative skills. The project descriptions indicate an ability to work independently on data analysis tasks from data acquisition to insight generation.