Data Analyst with less than a year in Python, SQL, and Power BI, skilled in transforming complex dat
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BCA student skilled in Python, SQL, Power BI, and Excel. Completed projects in sales and inventory analytics, U.S. mortality data analysis, and interactive business dashboards. Certified in Data Science, SQL, and Python, with a strong ability to translate complex data into actionable insights.
LNCT University
BACHELOR OF COMPUTER APPLICATION
August 1, 2022 – June 30, 2025
Online Sales Dashboard
October 1, 2024 – October 1, 2024
Designed and developed an interactive Power BI dashboard to analyze Walmart's sales performance across multiple regions and categories. Integrated and transformed multi-source data using Excel and Power BI, implemented key performance indicators (KPIs), and incorporated 3D maps for advanced geographical insights. Enabled real-time sales tracking and monitoring, improving stakeholder decision-making and providing actionable market insights for strategic planning.
US Death Cause Analysis
July 1, 2024 – July 1, 2024
Performed comprehensive data analysis on U.S. mortality data, focusing on death rates, gun-related incidents, and education-level correlations. Utilized Pandas and NumPy for data cleaning, transformation, and statistical analysis to uncover meaningful patterns in large datasets. Created insightful visualizations with Seaborn and Matplotlib to illustrate gender, race, and demographic distributions, highlighting suicide patterns and trends. Generated actionable insights to understand key demographic factors influencing mortality and presented findings in a structured, data-driven format.
Bike Stores Data Analysis
January 1, 2024 – January 1, 2024
Designed and executed complex MySQL queries to extract, clean, and manipulate large datasets covering sales, inventory, and customer information. Conducted in-depth analysis to identify sales trends, optimize inventory management strategies, and segment customer demographics for targeted insights. Developed detailed analytical reports and visual summaries to assist stakeholders in making data-driven decisions on product demand, inventory planning, and overall profitability.
Employability Skills (Life Skills)
Rubicon
January 1, 2024 – Present
SQL (Intermediate)
HackerRank
January 1, 2024 – Present
Data Science
Coding Thinker
January 1, 2023 – Present
Programming Fundamentals using Python
Infosys
January 1, 2022 – Present
Foundation to AI, Data Science & Data Analytics
Samatrix.io
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analysis across diverse domains (mortality, retail sales, e-commerce), indicating adaptability and a broad perspective. The certifications further highlight a commitment to continuous learning. The coordinator role suggests a collaborative mindset. However, without professional experience, the cultural fit is primarily inferred from academic and extracurricular activities, which may not fully reflect workplace dynamics.
Soft Skills & Operational Fit
The candidate's role as a Training & Placement Cell Coordinator suggests good organizational and communication skills, as well as an ability to work in a team and manage student activities. These are valuable for operational fit in a data analyst role, particularly in presenting findings and collaborating with stakeholders. However, direct evidence of problem-solving under pressure or conflict resolution in a technical context is not explicitly provided.