Software Engineer with 1+ years in Data Analysis & Reporting
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Assessing your cultural and operational fit
Detail-oriented Software Engineer with hands-on experience in SQL, data analysis, and reporting. Skilled in data validation, querying, and building meaningful insights from structured datasets. Experience working with business data in EPC domain and creating reports using Excel and Tableau. Strong interest in Business Intelligence, data warehousing, and dashboard development. Passionate about transforming raw data into actionable insights.
Adichunchanagiri Institute of Technology, VTU
Bachelor of Engineering · Information Science and Engineering
N/A – June 30, 2023
Applever
Software Engineer
January 1, 2025 – Present
Bengaluru, Karnataka, India
ExcelR Solutions
Data Science Intern
January 1, 2024 – October 1, 2024
Bengaluru, Karnataka, India
Smart Cricket Pitch Analysis System (IoT)
June 20, 2026 – Present
Developed IoT-based system to monitor environmental conditions. Provided data insights through dashboards for stakeholders.
Bankruptcy Prediction System
June 20, 2026 – Present
Built a predictive model to identify financial risks. Analyzed business data to support decision-making insights.
Business Analysis Fundamentals
Unknown
June 1, 2026 – Present
Agile / Scrum Basics
Unknown
June 1, 2026 – Present
SQL for Data Analysis
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (IoT system, Bankruptcy Prediction) show an interest in diverse applications of data science and engineering. Their experience as a Data Science Intern and then a Software Engineer indicates adaptability and a willingness to explore different facets of data-related roles. The certifications in Business Analysis and Agile/Scrum Basics suggest an understanding of broader business contexts and modern development methodologies, which aligns with a collaborative and structured work environment.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills through working with cross-functional teams and supporting reporting needs. Their experience in data validation and discrepancy resolution indicates attention to detail and problem-solving. The academic projects show an ability to apply technical skills to real-world problems, suggesting a proactive approach to learning and application.