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Data Analyst with less than a year in ETL Pipelines & Power BI
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Results-driven Data Analyst and Full Stack Developer with hands-on internship experience architecting end-to-end web applications, RESTful APIs, ETL pipelines, scalable data warehouses, and interactive dashboards. Proficient in Python, Django, FastAPI, Flask, SQL, JavaScript, React.js, and Node.js. Adept at machine learning, deep learning, and NLP; passionate about building robust, user-centric applications and supporting data-driven decision-making.
Sree Sastha Institute of Engineering and Technology
B.E. · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Saksoft Private Limited
Data Analytics Intern
January 1, 2026 – March 31, 2026
Chennai, Tamil Nadu, India
Pantech E-Learning
Machine Learning Intern
June 1, 2025 – Present
Chennai, Tamil Nadu, India
Blinkit Sales Analytics Dashboard
March 1, 2026 – Present
Transformed and modelled 50,000+ raw CSV records using Power Query, restructuring disparate sales data into an optimised star-schema dimensional model purpose-built for high-performance analytical queries. Authored advanced DAX measures and calculated columns powering dynamic KPI cards, slicers, and granular drill-through filters — delivering a fully self-service analytics experience for business stakeholders. Automated end-to-end data refresh via a FastAPI microservice that ingested updated source files and triggered pipeline reloads on schedule — eliminating 80% of manual operational overhead.
Enterprise Customer Service Analytics Platform
February 1, 2026 – Present
Architected a production-grade data warehouse with fully automated ETL pipelines handling multi-source ingestion, enforcing data quality SLAs and ensuring downstream consistency for enterprise reporting. Built real-time Power BI dashboards tracking CSAT scores, resolution times, and issue-lifecycle KPIs — empowering management teams with live operational intelligence and drill-through analytics. Engineered a scalable Django REST Framework backend exposing analytics endpoints consumed by a React.js single-page application, enabling intuitive self-service reporting for non-technical stakeholders. Implemented enterprise-grade security via Role-Based Access Control (RBAC) and JWT API authentication, ensuring governed, auditable data access across the platform.
AI-Powered Eye Disease Prediction System
January 1, 2026 – Present
Developed a high-accuracy CNN model leveraging transfer learning (ResNet/VGG) for multi-class retinal disease classification, applying targeted data augmentation to overcome limited medical imaging data constraints. Deployed real-time inference via a Flask REST API returning confidence scores and class probability distributions, providing clinicians with interpretable, decision-ready diagnostic outputs. Integrated an NLP-powered patient chatbot and a Streamlit clinical dashboard — combining conversational AI with visual model explainability to support end-to-end clinical decision support.
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Machine Learning: Practical modules covering supervised & unsupervised learning, model evaluation, and production deployment strategies
Simplilearn SkillUp
June 1, 2026 – Present
Generative AI & Power BI Data Analytics Job Simulation
Tata Forage
June 1, 2026 – Present
Python Full Stack Development (Django, FastAPI, Flask)
QSpiders
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in both data analytics and machine learning, aligning well with a data-driven culture. The diversity of tools and technologies used (Power BI, Databricks, Python frameworks, ML libraries) indicates adaptability and a willingness to learn. The focus on building user-centric applications and self-service analytics platforms suggests a customer-oriented approach, which is a positive cultural fit for roles requiring stakeholder interaction.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with business analysts and stakeholders, indicating good communication and teamwork potential. The ability to translate complex requirements into actionable insights suggests strong problem-solving and analytical thinking. The automation of data refresh processes points to an operational mindset focused on efficiency.