Data Science with 1+ years in SQL, Power BI & Data Visualization.
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in SQL, Excel, and Power BI. Demonstrated ability to collect, clean, and analyze complex datasets to surface actionable business insights. Skilled in creating interactive dashboards and reports that support data-driven decision-making. Strong communicator with a track record of translating analytical findings into clear recommendations for cross-functional teams.
Sreenidhi Institute of Science and Technology
B.Tech · CSE (IoT)
December 1, 2021 – April 1, 2025
TSRJC Keesaragutta
Higher Secondary · MPC
June 1, 2019 – April 1, 2021
Database Testing & Validation
June 1, 2026 – Present
Designed and executed SQL test cases to validate data integrity, accuracy, and consistency across a MySQL sales database. Ensured zero data quality gaps by testing completeness, null-value handling, and relational constraints - reinforcing data accuracy best practices. Optimized database query performance using indexing strategies, improving reporting speed for large datasets.
Brain Tumor Detection
June 1, 2026 – Present
Applied data preprocessing, feature extraction, and model evaluation on medical imaging datasets - reinforcing analytical thinking and pattern recognition.
IoT Gas Leakage Detection
June 1, 2026 – Present
Interfaced sensors and implemented real-time data monitoring - experience with structured data streams and threshold-based analysis.
Sales Data Analysis
June 1, 2026 – Present
Collected and cleaned raw sales data in Excel, resolving inconsistencies to ensure data accuracy and quality across the dataset. Wrote SQL queries to extract insights including best-selling products, monthly sales trends, and revenue by category - directly supporting data-driven business recommendations. Built an interactive Power BI dashboard visualizing KPIs, enabling stakeholders to identify growth opportunities and track performance at a glance. Identified key sales patterns and customer behavior trends, presenting findings through structured reports and dashboards to simulate business intelligence deliverables.
NPTEL - Python for Data Science (Bronze Level Certificate)
National Programme on Technology Enhanced Learning
June 1, 2026 – Present
Google Data Analytics Certification
Google Data Analytics framework
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in data analysis, database validation, medical imaging, and IoT, which shows a breadth of application for data science skills. Leadership roles and team activities suggest a proactive and collaborative mindset. The target role is Data Science, and the projects and certifications align well with foundational data analysis and some machine learning concepts, indicating a good cultural fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles in college clubs and participation in team sports, suggesting good collaboration and presentation skills. The professional summary also mentions being a 'strong communicator' and having a 'track record of translating analytical findings into clear recommendations for cross-functional teams.' These indicate a potential for good operational fit and soft skills relevant to a data science role.