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Data Analyst with 2+ years in data visualization and reporting.
Data Analyst with strong analytical and problem-solving skills, experienced in collecting, analyzing, and interpreting data to support business decision-making. Proficient in Excel, SQL, Python, and Power BI for data visualization, reporting, and dashboard creation. Skilled at interpreting complex datasets to identify trends, patterns, and growth opportunities, and translating findings into data-driven recommendations. Known for attention to detail, accuracy, and clear communication of insights to cross-functional teams. Committed to ensuring data accuracy and quality while continuously improving business performance through collaborative, insight-led analysis.
Sri Venkateswara College of Engineering
Bachelor of Engineering · Electronics & Communications
August 1, 2019 – June 30, 2023
Johnson Controls
Sr. Design Engineer
October 1, 2023 – Present
Bengaluru, Karnataka, India
Hospital Emergency Room Analytics Dashboard
January 1, 2026 – June 1, 2026
Collected and analyzed emergency room patient data, interpreting complex datasets to identify trends and patterns in patient flow, wait times, and service efficiency to support operational decision-making. Ensured data accuracy and quality by cleaning and transforming raw datasets using Power Query, resolving inconsistencies before analysis to maintain reliable reporting standards. Created reports and dashboards in Power BI (Monthly View, Consolidated View, Patient Details, Key Takeaways) for business insights using DAX measures to track KPIs and visualize growth opportunities across departments. Supported decision-making with data-driven recommendations on patient flow and resource allocation, presenting findings clearly to stakeholders through structured, easy-to-interpret dashboards.
Customer Shopping Behavior Analysis
January 1, 2026 – June 1, 2026
Collected and analyzed large customer datasets using SQL and Python, interpreting complex purchase records to identify trends, patterns, and growth opportunities in product preferences and buying behavior. Ensured data accuracy and quality by cleaning and transforming raw data using Python before analysis, maintaining consistency across multiple data sources for reliable reporting. Created an interactive Power BI dashboard for business insights, visualizing discount impact, seasonal demand, and payment preferences supporting decision-making with clear, data-driven recommendations. Collaborated with business teams to interpret findings and generate actionable insights that improved customer engagement, optimized marketing strategies, and increased sales performance.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying data analysis skills to real-world scenarios (hospital analytics, customer behavior). While their current professional role is not directly a Data Analyst, it involves data collection, analysis, and cross-functional collaboration, indicating adaptability and a willingness to apply analytical skills in different contexts. The breadth of tools and methodologies used across projects suggests a learning-oriented mindset, which aligns well with dynamic team environments. However, the lack of professional data analyst experience limits the depth of cultural fit assessment for a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in communication, presentation, and cross-functional collaboration, as evidenced by their project descriptions and current role. Their attention to detail and problem-solving skills are also highlighted. These attributes suggest a good operational fit for roles requiring collaborative data analysis and clear communication of insights.