About
.NET developer with 4.3 years of experience building and supporting enterprise web applications using C#, .NET Core, ASP.NET MVC, Web API, SQL Server, Entity Framework and ReactJS. Also has practical data analytics experience with SQL, Python, Pandas, Excel and Power BI for analysis and reporting.
Experience
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Product DeveloperCulinary Digital · PuneJan 2024 – Jan 2026
Developed and delivered integrated .NET-based web applications and RESTful services; performed L3 production support, troubleshooting, deployment and system integration; designed SQL queries and stored procedures; collaborated with Project Managers, Business Analysts and QA teams across releases.
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Junior Engineer DeliveryFulcrum Digital (Culinary Digital) · PuneOct 2021 – Dec 2023
Collaborated with cross-functional teams to design, develop and deliver integrated .NET-based web applications and services; performed L3 production support, issue troubleshooting, root-cause analysis, site setup, deployment and system integration; designed database components, SQL queries and stored procedures; worked closely with Project Managers, Business Analysts and QA teams.
Education
- 2021
- 2018
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2015
SSCShri Shiv Chhatrapati Shivaji Raje School2015
Skills
Tools / apps / platforms
Languages
Projects
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Employee Salary AnalysisPython, Pandas
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Sales Performance AnalysisPython, Pandas
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Retail Sales Data CleaningPython, Pandas
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Combining & TransformationPython, Pandas
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Retail Sales & CustomersSQL
SQL mini project focused on retail sales and customer analysis using joins, GROUP BY/HAVING, aggregations and analytical SQL queries to derive business insights.
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E-Commerce DatabaseSQL
SQL mini project focused on querying and analyzing e-commerce data using SELECT, filtering, joins, aggregations, subqueries, CTEs and window functions.
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Employee Salary AnalysisPython, Pandas
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Sales Performance AnalysisPython, Pandas
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Retail Sales Data CleaningPython, Pandas
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Combining & TransformationPython, Pandas
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Retail Sales & CustomersSQL
SQL mini project focused on retail sales and customer analysis using joins, GROUP BY/HAVING, aggregations and analytical SQL queries to derive business insights.
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E-Commerce DatabaseSQL
SQL mini project focused on querying and analyzing e-commerce data using SELECT, filtering, joins, aggregations, subqueries, CTEs and window functions.
🏆 Achievements & awards
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Yearly Rising Star Award · 2023
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Half Yearly Quality Award · 2023
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SPOT Recognition Award · 2023
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Half Yearly Customer Delight Award · 2022