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Data Analyst with less than a year in SQL, Excel, Power BI, Tableau, and Python for data analysis.
Detail-oriented and highly motivated aspiring Data Analyst with hands-on experience in SQL, Excel, Power BI, Tableau, and Python for data analysis and business intelligence.Skilled in data cleaning, exploratory data analysis (EDA), and transforming raw data into meaningful insights.Proficient in building interactive dashboards and reports to support data-driven decision-making.Strong ability to analyze datasets, identify trends, and track KPIs to improve business performance.Capable of understanding business requirements and translating them into analytical solutions.Experienced in working with structured data and presenting insights in a clear and actionable format.Familiar with CRM analytics through Salesforce reporting and continuous hands-on learning.Quick learner with strong problem-solving and communication skills, seeking opportunities in a dynamic MNC environment.
Ashoka Women's Engineering College
B.Tech
August 1, 2022 – June 30, 2026
Narayana junior college
Intermediate
June 1, 2020 – May 31, 2022
Employee Salary & Business Insights Dashboard
June 1, 2026 – Present
Analyzed 10,000+ employee records using SQL and Excel to identify salary distribution and workforce trends. Built interactive dashboards in Power BI and Tableau with KPI indicators (average salary, department-wise insights). Improved reporting efficiency and enabled data-driven decision-making for management.
ECommerce Customer Analysis
June 1, 2026 – Present
Analyzed customer transaction data to understand purchasing behavior and sales trends. Segmented customers into new and repeat buyers to evaluate retention performance. Calculated Average Order Value (AOV) and purchase frequency using Excel and DAX. Built interactive dashboards to monitor customer retention, revenue patterns, and sales growth.
Banking Loan Analysis Dashboard
June 1, 2026 – Present
Developed a dashboard to analyze loan applications, approvals, and default trends using financial data. Calculated key KPIs such as loan approval rate, default rate, and total funded amount. Analyzed customer profiles based on income, credit history, and loan purpose. Identified high-risk customer segments and patterns leading to loan defaults. Created interactive visualizations to support data-driven lending and risk management decisions.
Sales and profit analysis Dashboard
June 1, 2026 – Present
Developed an interactive dashboard analyzing 10,000+ sales records to track business performance. Created KPIs for Revenue, Profit, and Order Quantity using DAX functions. Identified top-performing products and regions, improving decision-making insights. Visualized monthly sales trends and category-wise performance using dynamic charts and filters.
HR Analytics Dashboard (Attrition Analysis)
June 1, 2026 – Present
Designed an HR analytics dashboard to analyze employee attrition and workforce trends. Calculated key metrics such as attrition rate, average salary, and employee distribution. Identified high attrition in specific departments and age groups through data visualization. Provided actionable insights to support employee retention strategies and HR decision-making.
Salesforce Sales Pipeline Analysis
June 1, 2026 – Present
Designed Salesforce reports and dashboards to track sales pipeline, revenue trends, and conversion rates. Analyzed opportunity data to identify bottlenecks in the sales process. Provided actionable insights to improve sales performance tracking and forecasting.
Salesforce Administrator
Salesforce
June 1, 2026 – Present
Salesforce Trailhead Badges
Salesforce
June 1, 2026 – Present
Deloitte Data Analyst Job Simulation
Deloitte
June 1, 2026 – Present
Digitallmage Processing
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like HR, E-commerce, Banking, and Sales, indicating a broad interest in applying data analysis across various business functions. The pursuit of certifications like Salesforce Administrator and Deloitte Data Analyst Job Simulation demonstrates a proactive learning mindset and alignment with industry best practices, which are positive indicators for cultural fit in a growth-oriented organization.
Soft Skills & Operational Fit
The candidate highlights strong problem-solving, communication, and stakeholder coordination skills. Their interest in continuous skill development and openness to relocation suggest a good operational fit for dynamic environments. However, without actual work experience, these soft skills are primarily self-assessed.