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Associate Data Analyst with less than a year in Python, SQL, and Power BI for data-driven insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytical graduate seeking a Data Analyst position to apply skills in SQL, Python (Pandas, NumPy), PySpark, Power BI and Excel to analyze and process large-scale data, build and optimize ETL data pipelines, perform data cleaning and statistical analysis, and deliver actionable insights that support data-driven business decisions and operational improvements.
Jyothishmathi Institute of Technology and Science
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Salesforce
Salesforce Developer Virtual Internship
November 1, 2023 – December 1, 2023
India
Blinkit Sales Analysis
January 1, 2026 – Present
Developed an interactive Power BI dashboard using a simulated BlinkIT grocery sales dataset (2012–2022, 10K+ records) to analyze sales performance, outlet efficiency, and customer ratings. Created DAX-based KPIs for Total Sales, Average Sales, Item Count, and Average Rating, enabling tier-wise (Tier 1–3) and outlet-level insights. Performed item category and outlet size analysis to identify high-performing segments and sales trends. Utilized Power BI, DAX, and data modeling to deliver dynamic visuals, slicers, and drill-down dashboards for business decision-making.
Indian Crop Analysis
January 1, 2026 – Present
Developed an interactive Power BI dashboard using ICRISAT dataset to analyze year-wise crop production, yield trends, and regional performance across states. Processed 10K+ records of time-series data and performed data cleaning, transformation, and validation using Power Query and Excel, improving data quality by 20-30%. Designed and implemented ETL workflows and built DAX-based KPIs (production, yield) to support data-driven decision making. Created dynamic data visualizations including time-series analysis, regional comparisons, and maps to identify crop patterns and high-performing regions.
Insights of Customer Segmentation using ExKMC
January 1, 2026 – Present
Implemented a data-driven customer segmentation pipeline using K-Means on 10K–100K customer records with complete data preprocessing, normalization, outlier removal, and 30+ engineered RFM/behavioral features. Optimized clustering performance using the Elbow Method, achieving a Silhouette Score of 0.52–0.68 for strong cluster cohesion and separation. Integrated Explainable AI through decision tree-based interpretation and ExKMC, achieving 85–92% fidelity and improving cluster interpretability by 40%. Identified 3-5 high-value customer groups, enabling improved personalization and targeted marketing strategies.
Data Analytics Essentials course
Cisco Networking Academy
June 1, 2026 – Present
Data Structures using Python
Code Tantra
June 1, 2026 – Present
National Level Hackathon HACKARENA
GNIT, Hyd
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques. The diversity of projects (sales, agriculture, customer segmentation) indicates a broad interest in data applications. The Salesforce internship, while not directly data analysis, shows an interest in enterprise software. The candidate is still pursuing a Bachelor's degree, which suggests a learning-oriented mindset. However, the lack of professional experience beyond a short virtual internship limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists critical thinking, team collaboration, adaptability, communication, time management, project ownership, anchoring, and public speaking as soft skills. These are generally positive for operational fit, but there is no direct evidence from the provided data to assess their application in a professional setting.