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Data Analyst with less than a year in Business Intelligence & Machine Learning
DETAIL-ORIENTED DATA ANALYST WITH FOUNDATIONAL KNOWLEDGE IN DATA SCIENCE AND MACHINE LEARNING, AND OVER 6 MONTHS OF HANDS-ON EXPERIENCE IN DATA EXTRACTION, TRANSFORMATION, AND VISUALIZATION. HIGHLY PROFICIENT IN DESIGNING AND DEVELOPING INTERACTIVE DASHBOARDS USING POWER BI (DAX, POWER QUERY), WRITING OPTIMIZED PYTHON SCRIPTS FOR DATA MANIPULATION (PANDAS, NUMPY), AND QUERYING LARGE DATASETS USING SQL. SEEKING TO LEVERAGE TECHNICAL SKILLS TO TRANSLATE COMPLEX REPORTING REQUIREMENTS INTO TECHNICAL SOLUTIONS THAT DRIVE DATA-INFORMED BUSINESS DECISIONS.
Sri Chaitanya
Intermediate
N/A – May 31, 2019
AIMS College of Engineering
B-Tech · CSE
N/A – June 30, 2024
ZPHS
SSC
N/A – May 31, 2017
E-commerce Sales Performance Dashboard (Blinkit Kaggle Data)
June 21, 2026 – Present
Developed an end-to-end Sales Dashboard in Power BI to analyze grocery sales, focusing on KPIs such as Total Sales, Average Rating, and Item/Outlet performance. Employed Python (Pandas) for extensive data cleaning, handling missing values, and engineering features (e.g., categorizing Item Fat Content) to ensure high data quality and integrity. Wrote complex SQL queries to aggregate sales data by outlet size and location type, generating foundational tables for data modeling within Power BI. Calculated advanced DAX measures to establish clear reporting metrics and visualized insights to recommend optimization opportunities in inventory and outlet-specific sales strategy.
Cultural Fit Analysis
The candidate's academic project and internship experience align well with a Data Analyst role, demonstrating a clear interest and foundational skill set in data analysis, visualization, and reporting. The project diversity is limited to one detailed academic project, but it showcases a comprehensive understanding of the data analysis lifecycle. The candidate's profile indicates a detail-oriented approach, which is beneficial for data-centric roles. The target role alignment is strong given the skills and project focus.
Soft Skills & Operational Fit
The candidate's psychometric test score suggests a moderate fit for logical reasoning, work attitude, stress handling, and team collaboration. The project description indicates an ability to translate complex requirements into technical solutions, which is a positive for operational fit. However, the lack of extensive professional experience means these soft skills are largely untested in a real-world, long-term corporate environment.