Data Engineer with 1+ years in data analytics, Power BI, and machine learning projects.
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Data Engineer Trainee with hands-on experience supporting live analytics and reporting projects in the insurance domain. Skilled in SQL-based data analysis, data validation, and building interactive Power BI dashboards using curated Silver and Gold layer datasets. Experienced in translating business requirements into meaningful reports and insights, with strong working knowledge of SQL, Excel, and Power BI.
Shantilal Shah Engineering College
Bachelor of Engineering · Information & Technology
January 1, 2019 – January 1, 2024
BlisMos Solution Pvt Ltd.
Data Engineer Trainee
August 1, 2025 – Present
India
Ai Variant
Data Science Intern
July 1, 2024 – January 1, 2025
India
Grras Solutions
Data Science Intern
January 1, 2024 – April 1, 2024
India
Insurance Data Analytics & Reporting Project (Live)
December 1, 2025 – December 1, 2025
Assisted in a live insurance data analytics project by developing interactive Power BI reports using curated Silver and Gold layer datasets. Designed multi-page Power BI dashboards using advanced page builder features, navigation, filters, slicers, and drill-through functionality. Built executive and operational views to analyze key insurance metrics such as policies, claims status, and transaction trends. Validated report data by cross-checking aggregated results against source and warehouse-level datasets to ensure accuracy and consistency. Collaborated with senior data engineers and analysts to understand data models, business logic, and reporting requirements. Optimized report layouts and visuals for better usability, performance, and stakeholder consumption.
View ProjectResume Classification Project
January 1, 2025 – January 1, 2025
Developed a machine learning model to automatically classify 500+ resumes by job role with 85% accuracy. Utilized NLP techniques (tokenization, stopword removal, TF-IDF) for text extraction and preprocessing, improving feature quality by 30%. Built and optimized a Decision Tree model, achieving precision of 82% and recall of 80% during validation. Deployed the solution in a controlled environment and reduced manual screening time by approximately 40%.
View ProjectHospitality Analytics Dashboard
December 1, 2024 – December 1, 2024
Designed an interactive dashboard to visualize 10+ key hospitality metrics including ADR, occupancy rates, revenue trends, and customer segmentation. Extracted and analyzed data from a database of 50,000+ records using SQL to ensure accurate insights. Built visualizations in Power BI/Tableau, enabling stakeholders to track performance and trends in real-time. Presented data-driven recommendations that helped identify a 15% opportunity in revenue growth and improve operational efficiency.
View ProjectData Analyst And Visualization
ExcelR
June 1, 2026 – Present
Data Science and Machine Learning
ExcelR
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from insurance data analytics to resume classification and hospitality analytics, shows a broad interest in applying data skills across different domains. Their internships in Data Science and Data Engineering indicate a proactive approach to gaining practical experience. The target role of 'Data Engineer' aligns with their current trainee role and the technical skills developed, particularly in data visualization, SQL, and data validation. However, the depth of experience in core data engineering (e.g., pipeline development, ETL orchestration) is limited, which might impact immediate cultural fit for a senior role requiring extensive independent contribution to complex data infrastructure.
Soft Skills & Operational Fit
The candidate has demonstrated collaboration skills through various projects and internships, working with senior engineers, analysts, and cross-functional teams. Their role as a Data Engineer Trainee involves supporting documentation and presentations, indicating an ability to communicate technical concepts visually. The resume also lists 'Problem-Solving' and 'Communication' as relevant coursework skills.