Software Engineer with 1+ years in Data Analysis, SQL & Power BI
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Assessing your cultural and operational fit
Software Engineer with 1+ year of production experience in data analysis, SQL reporting, and large-scale financial dataset management within a regulated fintech environment. Proficient in SQL, Python, Advanced Excel, and Power BI for data cleaning, statistical analysis, dashboard development, and business reporting. Built and maintained end-to-end reporting pipelines used daily by operations and senior leadership. Communicates analytical findings clearly to both technical and non-technical stakeholders.
APJ Abdul Kalam Technological University
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
University of Calicut
Bachelor of Computer Applications (BCA)
August 1, 2019 – June 30, 2022
Macom Solutions
Software Engineer - Data Analysis and Reporting
January 1, 2025 – February 1, 2026
India
UAE Telecom Customer Churn Analytics & Retention Intelligence
June 1, 2026 – Present
Designed and developed an end-to-end telecom churn analytics solution by creating a synthetic dataset of 100,000 customer records simulating a UAE telecom business environment. Performed data cleaning, transformation, and preprocessing using Python (Pandas & NumPy) to prepare analytical datasets. Conducted business analysis using SQL to identify customer retention patterns, revenue trends, service adoption behavior, and churn drivers. Built an interactive 3-page Power BI dashboard and developed DAX measures for KPIs including Churn Rate, Revenue Loss, Customer Segmentation, and Risk Analysis.
UAE Data Analyst Job Market Dashboard
June 1, 2026 – Present
Built an end-to-end market analysis dashboard covering 177 job listings across all 6 UAE Emirates - ran Python ETL across 10+ job categories, cleaned raw data, and built interactive Power BI visualisations surfacing salary trends, skill demand, and hiring distribution by emirate. Identified key market signals: average salary of 14.44K AED, Dubai leading at 28.81% of listings, and top 15 in-demand skills demonstrating the ability to convert raw, unstructured data into structured, decision-ready insight.
Tata GenAI-Powered Data Analytics Job Simulation
Tata
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation Completion Certificate
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and professional experience align well with a data-centric Software Engineer role, particularly one focused on data analysis and reporting. The certifications from Google, Tata, and Deloitte indicate a proactive approach to learning and professional development, which is a positive cultural indicator. The breadth of tools and techniques used (SQL, Python, Power BI, Excel) suggests adaptability and a willingness to explore different technologies. The experience in a regulated fintech environment also points to an understanding of structured work environments. However, the overall experience level is relatively junior (1+ year), which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and professional experience. Their ability to communicate complex data insights to diverse audiences suggests good presentation and collaboration skills. The experience in a regulated fintech environment indicates an understanding of compliance and accuracy requirements, which is valuable for operational fit. However, the resume does not provide explicit details on stress handling or team collaboration beyond presenting findings.