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Data Analyst with less than a year in SQL, Python, Power BI, and Tableau
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst and 2025 B.Tech graduate with hands-on experience in data collection, cleaning, transformation, and visualization. Proficient in Excel, SQL, Python, Power BI, and Tableau — with a strong track record of building interactive dashboards, automating reporting workflows, and delivering data-driven recommendations that improve business performance. Managed datasets of 50,000+ records and demonstrated consistent attention to detail, accuracy, and cross-functional collaboration.
Sri Venkateswara Engineering College, Tirupati
B.Tech · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Viswasai Junior College, Nellore
Intermediate (MPC)
June 1, 2021 – May 31, 2021
Sri Sai Vikas High School, Chitvel
Secondary School Certificate (SSC)
June 1, 2019 – May 31, 2019
Rooman Technologies
Data Analyst Intern
February 1, 2025 – June 1, 2025
Bengaluru, Karnataka, India
Deep Learning-Based Veterinary Parasite Detection & Classification
June 1, 2024 – Present
Designed and implemented a deep learning pipeline using Inception V3 (transfer learning) to detect and classify veterinary parasites from microscopic images, improving diagnostic accuracy over traditional methods. Performed end-to-end data preparation including image collection, labelling, preprocessing (resizing, normalisation), and augmentation using OpenCV and TensorFlow/Keras to ensure high-quality training data. Fine-tuned the Inception V3 architecture on a domain-specific parasite dataset, achieving strong classification performance across multiple parasite categories through iterative model training and validation. Visualised model performance using confusion matrices, accuracy/loss curves, and class activation maps — presenting findings with structured analysis and business-style reporting to faculty evaluators.
E-Commerce Sales Performance Dashboard
June 1, 2024 – Present
Built an end-to-end Power BI dashboard analysing 100,000+ rows of transactional sales data across 12 product categories and 5 regions — delivering executive-level BI reporting with drill-down by time, region, and category. Wrote complex SQL queries (joins, aggregations, CTEs) against a relational MySQL database to extract and transform data for accurate trend analysis and pattern identification. Identified a 22% Q3 revenue drop through data analysis; recommendations improved projected conversions by 18%, directly supporting data-driven business decisions. Automated monthly data refresh using Python (pandas, sqlalchemy), cutting reporting preparation time from 4 hours to 20 minutes — an 83% efficiency gain.
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce sales performance to deep learning for veterinary parasite detection, indicates a broad interest in applying data skills across different domains. The academic project showcases initiative and a willingness to explore advanced topics. The internship experience aligns directly with the target role, demonstrating practical application and a results-oriented mindset, which contributes positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and a focus on data accuracy, which are critical for a Data Analyst role. Their experience in cross-functional collaboration during the internship and project work indicates a good operational fit for team environments. The ability to present findings with structured analysis and business-style reporting suggests effective communication of technical insights.