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MERN Internship with less than a year in web development, data analysis, and database management.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Omkar Shewale is a Developer Intern with expertise in MERN Stack development, data analysis, and database management. He has hands-on experience in building full-stack web applications, developing dashboards, and performing customer segmentation and inventory analysis. With skills in Python, SQL, Excel, Power BI, and PostgreSQL, Omkar is adept at translating data into actionable business insights.
Trinity College of Engineering and Research
Bachelor of Engineering · Information Technology
August 1, 2022 – June 30, 2026
EYGDS
Developer Intern MERN Stack Developer
February 1, 2025 – March 31, 2025
Pune, Maharashtra, India
E-Commerce Sales & Profit Analysis Dashboard
June 23, 2026 – Present
Analyzed large sales dataset using SQL and Excel to identify revenue trends Built interactive Power BI dashboard for sales, profit, and category performance Identified top-performing products and optimized business insights Helped in understanding business growth patterns and improving decision-making strategy
Customer Segmentation Analysis (RFM Model)
June 23, 2026 – Present
Performed customer segmentation using Python (Pandas) and RFM analysis Grouped customers based on buying behavior and transaction history Generated visual insights to support marketing strategy decisions Enabled targeted marketing approach by identifying high-value customer groups
Inventory & Demand Trend Analysis
June 23, 2026 – Present
Analyzed inventory data using SQL to track product demand patterns Identified fast-moving and slow-moving stock items Built Excel dashboard for inventory optimization and reporting Improved stock management efficiency by predicting demand trends
Cultural Fit Analysis
The candidate's academic projects primarily focus on data analysis and business intelligence, while their internship is in MERN stack development. This shows a breadth of technical interest but also a potential pivot in focus. The target role is 'MERN Internship', which aligns well with their recent internship experience. The academic projects, while not directly MERN, demonstrate analytical thinking and problem-solving, which are valuable in any technical role. However, the lack of diverse MERN-specific projects outside the single internship limits the assessment of deep cultural fit for a pure MERN development environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to analyze data, identify trends, and contribute to decision-making, suggesting analytical and problem-solving skills. The internship experience implies an ability to work within a development lifecycle and integrate different components. However, without specific assessment data on soft skills or operational fit, a comprehensive evaluation is not possible.