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Software Engineer with less than a year in Data Analytics & Web Development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented Software Engineer Intern with 2 months of experience in designing and enhancing web applications. Proficient in Python, SQL, Java, and front-end technologies like React.js, with hands-on experience in ETL pipeline development, machine learning model building, and data visualization using Tableau and Power BI. Eager to leverage strong analytical and problem-solving skills to contribute to innovative projects.
Vellore Institute of Technology
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
6Origin
Software Engineer Intern
September 1, 2025 – October 31, 2025
India
Predictive Maintenance - RUL Estimation
June 1, 2026 – June 1, 2026
Executed ETL pipeline to extract, clean, and transform 2,65,650+ sensor records for structured analysis and model development using Python. Built a Random Forest regression ML model to estimate Remaining Useful Life (RUL) of machinery. Cleaned sensor data, performed feature extraction using EDA for correlation analysis and applied Deep learning model CNN integrated with Attention Mechanism. Achieved 18% improvement in RMSE score, enabling proactive maintenance and reduced failure risks.
View ProjectSmartphone Market Insights
June 1, 2026 – June 1, 2026
Analyzed and implemented ETL workflows to extract and standardize 3,100+ smartphone records, performing data cleaning and feature engineering in Python. Executed 25+ SQL queries, including aggregations and window functions, to derive insights on pricing, discounts, and brand performance. Developed an interactive Tableau dashboard to visualize key KPIs and identify market trends. Delivered actionable market insights by pinpointing key segments, high-value devices, and pricing trends to support strategic business decisions.
View ProjectWeb Data Analytics Dashboard
June 1, 2026 – June 1, 2026
Created an interactive Power BI dashboard analyzing 53,900+ web session records, delivering actionable insights on user behavior, engagement metrics, and bot traffic patterns. Implemented advanced DAX calculations to compute KPIs such as Total Sessions, Unique Visitors, Events per Session, and Bot Percentage, enabling efficient monitoring of website performance and traffic quality. Built dynamic time-based filtering using a custom Date table and slicers, allowing users to analyze trends by date range and weekly patterns, improving dashboard usability and real-time data exploration. Provided data-driven insights on top-performing landing pages, visitor retention, and bot activity to support collaborative decision-making and website optimization.
View ProjectGoogle Cloud Computing Foundations
June 1, 2026 – Present
Google Cloud Digital Leader
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards data analytics and machine learning, with some exposure to frontend development. This diversity in project types, from predictive maintenance to market insights and web analytics, suggests adaptability and a broad interest in technical challenges. The internship in a software engineering role indicates an interest in application development. The certifications in Google Cloud Computing show a proactive approach to learning and staying current with cloud technologies. This breadth of skills and continuous learning mindset generally aligns well with a dynamic and growth-oriented culture.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, attention to detail, analytical thinking, and adaptability as soft skills. The project descriptions indicate an ability to work with data, analyze problems, and present findings, which aligns with analytical thinking and problem-solving. The internship experience suggests attention to detail in UI design and collaborative development. However, without direct assessment, the depth of these soft skills in a senior operational context is difficult to fully ascertain.