Data Analyst with less than a year in ETL Pipeline Development & Data Analysis
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Recent B.Tech graduate in Artificial Intelligence & Machine Learning with hands-on experience in SQL, data cleaning, ETL pipeline development, and exploratory data analysis. Comfortable working with structured datasets to surface patterns and insights, and presenting findings clearly to both technical and non-technical audiences. Holds a Google Data Analytics Certificate alongside a Microsoft Azure certification. Eager to bring an analytical, detail-oriented mindset to the Data Analyst role at Polluxa.
NMAM Institute of Technology (NMAMIT)
B.Tech · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
Stellapps Technologies Pvt. Ltd.
Java Developer Intern
August 1, 2025 – January 1, 2026
Bengaluru, Karnataka, India
Manipal Technologies Ltd.
Full Stack Developer Intern
June 1, 2025 – August 1, 2025
Manipal, Karnataka, India
Lung Cancer Prediction Model
June 1, 2026 – June 1, 2026
Executed a complete data analysis workflow on a real medical dataset: data cleaning, exploratory data analysis, feature engineering, and model evaluation using Scikit-learn directly mirrors end-to-end data analyst responsibilities. Generated insights from structured data by identifying patterns, comparing model outputs, and presenting findings with clear analytical reasoning.
Automated Data Pipeline Prototype
June 1, 2026 – June 1, 2026
Designed an automated pipeline to ingest data from REST APIs, apply cleaning and transformation logic, and load into MySQL with scheduled runs, error logging, and alerting. Demonstrates ability to work with structured datasets, maintain data quality, and document workflows for reproducibility.
Zenova - AI Healthcare Assistant
June 1, 2026 – June 1, 2026
Built an end-to-end AI application integrating multi-modal data inputs; designed retrieval-based knowledge pipelines to surface accurate, context-grounded responses. Patent filed (under review).
Google Data Analytics Certificate
Google (via Coursera)
June 1, 2026 – Present
Microsoft Azure Learning Path
Microsoft
September 1, 2025 – Present
Prompt Design in Vertex AI
Google Cloud
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects, particularly the 'Lung Cancer Prediction Model' and 'Automated Data Pipeline Prototype', show a strong alignment with data-driven problem-solving and practical application of skills. Their internships as a Java Developer and Full Stack Developer, while not directly 'Data Analyst' roles, involved significant data-related tasks (SQL, ETL, data validation), indicating adaptability and a broad technical foundation. The 'Zenova - AI Healthcare Assistant' project, including a patent filing, highlights innovation and a proactive approach to learning and applying advanced technologies. The certifications further demonstrate a commitment to continuous learning and professional development, which are positive indicators for cultural fit in a growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented and analytical mindset, as evidenced by their project descriptions focusing on data quality, reproducibility, and clear analytical reasoning. Their experience in documenting system architecture and collaborating with stakeholders suggests good operational fit and communication skills for team environments. The psychometric test score is 0, which means there is insufficient data to assess logical reasoning, work attitude, stress handling, and team collaboration.