Data Analyst with less than a year in Data Analysis, Python, SQL, and Power BI with hands-on experie
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science (AI & ML) graduate with strong analytical and problem-solving skills, experienced in Python, SQL, Excel, Power BI, and data-driven application development. Skilled in data analysis, dashboard creation, reporting, and operational monitoring with hands-on experience in business-focused projects involving logistics tracking, sales analysis, and customer complaint analytics. Quick learner with strong attention to detail, communication skills.
Jyothishmathi Institute of Technology and Science
Bachelor of Technology
August 1, 2022 – June 30, 2026
Sahasra Junior College
Intermediate
June 1, 2020 – May 31, 2022
Sri Siddhartha High School
Secondary School
N/A – May 31, 2020
Logistics Delivery Performance Tracker
January 1, 2026 – June 1, 2026
Developed a logistics tracking system to monitor delivery status, delayed shipments, failed deliveries, and regional performance metrics for operational analysis and SLA monitoring. Used Python and SQL for data processing and validation, and created interactive Power BI dashboards to generate business insights, KPI reports, and delivery trend analysis.
E-Commerce Sales & Return Analysis Dashboard
January 1, 2026 – June 1, 2026
Built a business analytics dashboard to analyze sales performance, customer demand, product returns, and category-wise revenue trends across multiple regions. Processed and cleaned raw datasets using Python and SQL, and developed Power BI visualizations to support reporting, forecasting, and data-driven decision-making.
Introduction to Excel
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical, business-oriented data analysis, aligning well with roles requiring data-driven decision-making. The use of diverse tools like Python, SQL, Power BI, and Excel shows adaptability. However, the lack of professional experience and limited project diversity (both academic and focused on similar analytical tasks) suggests a need for broader exposure to different business domains and team collaboration scenarios to fully assess cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical and problem-solving skills, attention to detail, and communication skills. Project descriptions indicate an ability to translate raw data into actionable business insights, which is crucial for operational fit in a data analyst role. However, without completed psychometric or English tests, the actual proficiency in these soft skills cannot be objectively verified.