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Data Science with less than a year in Data Visualization, Databases, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Praveen Kumar T is an aspiring Data Science professional currently pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning. With strong technical skills in Data Visualization (Power BI, DAX), Databases (MySQL), Programming (Python), and Excel, Praveen has successfully executed projects involving sales data analysis, call center performance dashboards, and customer segmentation. His expertise lies in data cleaning, modeling, and generating actionable insights, complemented by a Google Cloud Data Analyst certification.
Vidyavardhaka College of Engineering
Bachelor of Engineering · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Sales Data Analysis - SQL Project
January 1, 2026 – June 1, 2026
Designed and implemented a relational database schema for a pizza order management system using MySQL. Analyzed customer orders, revenue, and sales trends using SQL joins, aggregate functions, and window functions. Generated actionable insights such as top-selling products and peak sales periods to support business decisions.
Call Center Performance Analytics Dashboard – POWERBI Project
January 1, 2026 – June 1, 2026
Built an interactive Power BI dashboard to visualize call center KPIs like agent performance, call volume and customer satisfaction, turning raw data into clear, actionable stories for smarter decisions. Analyzed trends and patterns across operational metrics using DAX and Power Query, enabling diagnostic and descriptive insights that drive measurable business outcomes.
Customer Call Center Performance & Insights Dashboard - EXCEL Project
January 1, 2026 – June 1, 2026
Designed an end to end Excel dashboard analyzing 1,000+ call records across metrics like call volume, call duration, revenue, and customer demographics transforming raw data into a clear, compelling performance story. Built pivot tables and dynamic reports to uncover trends by agent, city, and gender, enabling descriptive and diagnostic insights that support data-driven decisions at scale.
Google Cloud Data Analyst
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a practical application of data analysis skills across different tools (SQL, Power BI, Excel). The target role of Data Science aligns well with the candidate's education in AI/ML and the analytical nature of their projects. The Google Cloud Data Analyst certification further indicates a commitment to cloud-based data tools. The projects show a breadth of skills in data cleaning, modeling, and visualization, which are valuable for diverse data science roles. However, the projects are all academic, limiting insight into real-world team collaboration or handling complex, ambiguous business problems.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable insights, suggesting good analytical and problem-solving skills. The focus on dashboards and reporting implies an understanding of presenting data clearly, which is crucial for communication. However, without specific behavioral assessment data, it's difficult to fully assess operational fit, stress handling, or team collaboration beyond what can be inferred from project descriptions.