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Data Analyst with 6+ years in Data Analysis & Business Intelligence.
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Assessing your cultural and operational fit
Data Analyst with 4.9 years of experience transforming complex data into actionable business insights that drive strategic decision-making and operational improvements. Expert in SQL, Power BI, Excel, and Python for data analysis, visualization, and reporting across business operations, quality metrics, and performance analytics. Proven track record of delivering 5+ executive dashboards, reducing reporting time by 95%, and identifying insights that improved key business metrics by 18-40%. Skilled at translating business questions into analytical frameworks, collaborating with cross-functional stakeholders, and presenting data-driven recommendations to leadership.
Sinhgad Institute of Technology & Science
B.E. · Electronics & Telecommunication Engineering
August 1, 2013 – June 30, 2016
Intercax
Software Engineer
January 1, 2019 – May 31, 2024
Pune, Maharashtra, India
Real Estate Portfolio Investment Analysis Dashboard
January 1, 2025 – January 1, 2025
Analyzed 21K+ real estate property records using SQL in PostgreSQL to identify pricing trends, renovation patterns, waterfront distribution, and property condition insights. Wrote 20+ SQL queries using GROUP BY, Aggregate Functions, CASE WHEN, CTEs, and Window Functions (RANK(), Running Total) for data analysis and reporting. Identified that approximately 99% of properties were non-waterfront, while renovated properties showed higher average pricing trends. Built an interactive Power BI dashboard with 4 KPIs, charts, and slicers for property trend visualization. Generated actionable business insights to support property market analysis and investment decision-making.
Last-Mile Delivery Performance Analysis (Swiggy Instamart)
January 1, 2024 – January 1, 2024
Analyzed 2.75K+ transactions and 15K+ food quantity orders using Excel and Power BI to identify food ordering trends, delivery performance, and customer purchasing behavior. Built an interactive Power BI dashboard with KPI cards, charts, slicers, and filters to analyze data. Identified that Samosa (2.4K+) and Butter Chicken (2K+) were the most ordered food items across the platform. Observed that Delivered orders (~2.6K) significantly outperformed cancelled orders, indicating strong delivery completion rates. Analyzed payment behavior and found UPI to be the most preferred payment method among customers. Performed data cleaning, transformation, and visualization using Excel and Power BI to generate meaningful business insights and interactive reporting dashboards.
Restaurant Partner Performance Analytics (Zomato)
January 1, 2024 – January 1, 2024
Analyzed 8.5K+ orders and ₹1.20M+ total sales using Excel and Power BI to identify sales trends, customer ratings, and category-wise performance insights. Built an interactive Power BI dashboard with 4 KPI cards, charts, filters, and slicers to analyze data. Identified that Tier 3 cities generated the highest sales contribution (~₹0.47M) compared to Tier 1 and Tier 2 cities. Performed data cleaning, transformation, and visualization using Excel and Power BI to generate business insights and improve dashboard reporting.
Career Essentials in Data Analysis by Microsoft and LinkedIn
Microsoft and LinkedIn
June 1, 2026 – Present
SQL Mastery
Unknown
June 1, 2026 – Present
Power BI Mastery
Unknown
June 1, 2026 – Present
Excel Mastery
Unknown
June 1, 2026 – Present
AI in Data Analysis - Python Mastery
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from real estate to last-mile delivery and restaurant analytics, indicates adaptability and a broad interest in applying data analysis across different domains. Their experience as a Software Engineer at Intercax, where they improved product quality and system reliability, suggests a results-oriented and impact-driven mindset. The explicit mention of leveraging AI-augmented analytics (ChatGPT, generative AI tools) shows a proactive approach to adopting new technologies and a commitment to continuous learning, which aligns well with innovative and forward-thinking organizational cultures. The mentorship experience also points to a collaborative and supportive team player.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in stakeholder communication, problem-solving, and attention to detail, as evidenced by their collaboration with cross-functional teams, ability to translate business questions into analytical frameworks, and meticulous approach to data quality. Their experience in mentoring junior analysts also highlights leadership and team collaboration. These skills are crucial for a senior Data Analyst role, ensuring effective communication of insights and successful project execution.