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Senior Data Analysis with 4+ years in data analysis, visualization, and ETL processes
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with a strong foundation in software engineering and 3+ years of experience working with data-driven applications. Skilled in SQL, Python, and Power BI for data analysis, visualization, and ETL processes. Experienced in handling large datasets, performing exploratory data analysis, and building dashboards to support business decisions.
Coorg Institute of Technology
Bachelor of Engineering · Computer Science Engineering
August 1, 2017 – August 1, 2021
MicroGenesis TechSoft Pvt Ltd
Software Engineer | Data Analysis & Reporting
May 1, 2022 – Present
India
Sales Performance & Customer Behavior Analysis
June 24, 2026 – Present
Analyzed sales data using Python and SQL to identify revenue trends and customer segments Developed KPI dashboards to track product performance and regional sales Generated insights that improved decision-making for sales strategies
Vendor Performance Analysis
June 24, 2026 – Present
Analyzed 50K+ records of vendor sales and procurement data using SQL and Python Wrote complex SQL queries (JOINs, aggregations, GROUP BY) for performance evaluation Identified top and underperforming vendors based on revenue and profitability Built Power BI dashboards for vendor KPIs and cost analysis Improved data quality through preprocessing and validation techniques
Cultural Fit Analysis
The candidate's project diversity, including sales performance, customer behavior, and vendor performance analysis, shows a broad interest in applying data analysis across different business domains. Their experience aligns well with a data-driven culture that values actionable insights and continuous improvement. The blend of software engineering background with data analysis skills suggests adaptability and a holistic view of data solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through identifying trends and anomalies, and a collaborative approach by working with cross-functional teams. Their experience in automating processes and improving reporting turnaround time indicates a focus on efficiency and operational excellence. The ability to communicate insights to stakeholders is crucial for a senior data analysis role.