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Data Analyst with less than a year in SQL & Python for data analysis and visualization.
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Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on internship experience in data cleaning, validation, and exploratory analysis. Proficient in SQL and Python for processing and deriving actionable insights from large datasets. Demonstrated ability to build data-driven solutions including an e-commerce recommendation engine that improved customer conversion by 1.3%. Skilled in Power BI dashboard creation, RFM/ABC segmentation, and ETL workflows. Eager to apply analytical expertise to solve real-world business problems.
Visvesvaraya Technological University (VTU)
B.E. · Computer Science
August 1, 2020 – June 30, 2024
Dhisha AI Complete Analytics
Data Analyst Intern
January 1, 2024 – January 1, 2025
Bengaluru, Karnataka, India
PAN Card Validation System
June 21, 2026 – Present
Cleaned and standardized 1,000+ PAN records handled missing values, duplicates, whitespace trimming, and case normalization to ensure analysis-ready data. Implemented rule-based SQL validation logic to verify alphabetic patterns, numeric sequences, and format compliance, achieving 100% automated classification. Generated a comprehensive validation summary report covering total records, valid/invalid counts, and missing entries improving compliance accuracy for audits.
E-Commerce Recommendation System
June 21, 2026 – Present
Designed a product recommendation engine based on user purchase history using RFM (Recency, Frequency, Monetary) segmentation and ABC inventory classification. Performed end-to-end EDA using SQL and Pandas to identify top-selling products, high-value customers, and underperforming segments. Validated daily conversion rates to measure model effectiveness, resulting in a 1.3% improvement in customer conversion rate. Automated data ingestion and preprocessing pipeline, reducing manual data prep time by approximately 40%.
Sales Performance Dashboard
June 21, 2026 – Present
Developed an interactive Power BI dashboard to track monthly sales KPIs, regional performance, and product category trends across a 12-month period. Used DAX measures to calculate YoY growth, running totals, and top-N product rankings, enabling executives to identify revenue patterns at a glance. Connected Power BI to Excel data sources via Power Query and implemented data refresh scheduling for always-up-to-date reporting.
Data Analytics Certification
Dhisha AI Complete Analytics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a proactive approach to learning and applying diverse data analysis techniques (RFM, ABC, A/B testing). Their internship and personal projects align well with the responsibilities of a Data Analyst, indicating a strong interest and foundational understanding of the domain. The breadth of tools and concepts covered (SQL, Python, Power BI, Git, ETL) suggests a willingness to explore and adapt to different technologies, which is positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail through their project descriptions. Their experience in collaborating cross-functionally and translating data requirements into analytical outputs suggests good operational fit for a data analyst role. The internship experience highlights process improvement and technical adaptability.