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Full Stack Engineer with less than a year in Data Analysis & Software Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Being from an IT background with 8.68 CGPA, I am passionate about working with computers and leveraging technology to solve real-world problems. My goal is to contribute to organizations through software development, data engineering, data analysis, and predictive modeling.
Gujarat Technological University
Bachelor of Engineering · Information Technology
August 1, 2022 – June 30, 2026
Larsen and Toubro Hydrocarbon Onshore
IT Intern
January 1, 2026 – April 1, 2026
India
CSRBOX
Data Analyst Intern
July 1, 2025 – July 1, 2025
India
Retail Sales Analytics Platform
June 23, 2026 – Present
Developed an end-to-end retail sales analytics platform for business intelligence and forecasting. Built a Python-based ETL pipeline to ingest, clean, transform, and store over 500,000 retail transaction records. Performed data quality validation including null value handling, duplicate detection, and anomaly filtering. Wrote SQL queries using PostgreSQL to investigate revenue trends, top-selling products, and country-wise performance. Created an interactive Streamlit dashboard with KPI monitoring, filtering, and visualization capabilities. Implemented a Linear Regression forecasting model to predict future monthly revenue trends.
View ProjectHeart Disease Prediction
June 23, 2026 – Present
Built and trained an Artificial Neural Network (ANN) to predict heart disease using patient medical data, achieving 87.9% model accuracy. Performed data preprocessing including handling missing values, feature scaling, and encoding to prepare high-quality input data for the model. Evaluated model performance using accuracy and validation metrics, and examined important health indicators to identify key risk factors contributing to heart disease prediction.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including full-stack development, data analytics, and machine learning, indicates a broad interest in technology. The involvement in a hackathon and volunteer work suggests a collaborative spirit and initiative, which could contribute positively to team dynamics. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest good communication skills, particularly in articulating technical solutions and project outcomes. The involvement in a hackathon and volunteer work indicates a proactive attitude and potential for teamwork. However, without specific psychometric or English test scores, a deeper assessment of operational fit and stress handling is not possible.