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Data Science with less than a year in data analysis and business intelligence
Detail-oriented and analytical Computer Science graduate with a strong foundation in data analysis and business intelligence. Proficient in SQL, Python, and Power BI with hands-on experience in database management, exploratory data analysis (EDA), and dashboard development. Demonstrated ability to transform complex datasets into actionable insights through projects in telecom analytics, sales performance tracking, and customer experience analysis. Skilled in data cleaning, trend analysis, and business intelligence reporting to support data-driven decision-making. A quick learner with strong problem-solving skills, eager to apply technical expertise to extract meaningful patterns and drive business value.
Amrita College of Engineering and Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2021 – June 30, 2025
SALES AND INVENTORY ANALYSIS DASHBOARD
July 1, 2025 – August 1, 2025
End-to-End Dashboard Development: Designed and developed a comprehensive interactive Power BI dashboard to monitor sales performance, inventory turnover, and discount effectiveness across product categories. Data-Driven Performance Analysis: Analyzed key metrics including total sales revenue, units sold, and discount rates to identify top-performing products, customer purchasing patterns, and seasonal sales trends. Strategic Business Visualization: Created dynamic visualizations to illustrate yearly sales trends, product-wise revenue contribution, and inventory stock levels, providing stakeholders with clear insights for inventory management and sales strategy formulation.
CUSTOMER COMPLAINTS DASHBOARD
June 1, 2025 – July 1, 2025
Interactive Dashboard Creation: Built a dynamic Excel dashboard to track and analyze customer complaint data across multiple dimensions including product categories, geographic states, and communication channels. Customer Service Analytics: Monitored and analyzed customer response times, recurring complaint issues, and product-specific problem areas to identify key opportunities for improving service quality and operational efficiency. Process Optimization Insights: Delivered data-driven insights to support customer retention strategies, root cause analysis for common issues, and overall customer service process optimization, enabling proactive problem resolution.
Python Programming
Oracuz Infotech
June 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects are academic, focusing on data analysis and visualization, which aligns with the analytical nature of a Data Science role. The skills listed (Python, PostgreSQL, PowerBI, Tableau, data cleaning, customer behavior analysis) are relevant to the target role. However, the lack of diverse project types beyond dashboards and the absence of collaborative team projects in the resume limit the assessment of cultural fit in a broader organizational context. The experience level is 0, indicating a fresh graduate profile.
Soft Skills & Operational Fit
The candidate's summary highlights being detail-oriented, analytical, a quick learner, and having strong problem-solving skills. These traits are beneficial for a Data Science role. The project descriptions indicate an ability to translate data into actionable insights, which is crucial for operational impact. However, without direct work experience, the practical application of these soft skills in a professional setting is unproven.