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Data Analyst with less than a year in analytics, full stack development, and AI applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented professional with 10 months of hands-on experience across data analytics, AI application development, and full stack development. Proficient in leveraging Excel, SQL, Power BI, and Python for data analysis, reporting, and building interactive dashboards. Proven ability to translate data into actionable insights, optimize processes, and contribute to product performance. Seeking to apply technical skills and analytical acumen in a dynamic role.
Atria Institute of Technology
Bachelor of Technology · Computer Science and Design
August 1, 2022 – June 30, 2026
PrepXL
Data & analytics exposure
March 1, 2026 – June 30, 2026
India
SuperAGI
AI application developer
January 1, 2026 – March 31, 2026
India
Infosys Springboard
Full Stack Development Intern
October 1, 2025 – December 31, 2025
India
Product Funnel Analysis
January 1, 2025 – December 31, 2025
Analyzed customer acquisition and conversion funnels to identify user drop-off points. Calculated DAU, Retention Rate, Churn Rate, Conversion Rate, and Funnel Conversion metrics. Performed cohort-style analysis to understand user engagement trends over time. Built Power BI dashboards to visualize user behavior and business performance.
Sales and Business Analytics Dashboard
January 1, 2025 – December 31, 2025
Designed interactive dashboards for sales performance tracking and business reporting. Created KPI reports using Power BI to monitor revenue trends and customer behavior. Performed SQL-based data extraction and transformation to support reporting requirements. Used Excel Pivot Tables, VLOOKUP, and charts for business analysis.
Marketing Campaign Performance Analysis
January 1, 2024 – December 31, 2024
Analyzed digital marketing data to evaluate effectiveness and customer engagement across multiple channels. Calculated key performance metrics including Click-Through Rate (CTR), Conversion Rate, Cost Per Click (CPC), Return on Investment (ROI), and Customer Acquisition Cost (CAC). Used SQL queries to extract, clean, and transform data from multiple datasets for analysis and reporting. Developed Power BI dashboards to visualize impressions, clicks, conversions, spending trends and performance.
Google Data Analytics Certification
June 1, 2026 – Present
Microsoft Excel for Data Analysis and Reporting
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experiences, particularly in data analytics, align well with a data-driven culture. The exposure to full-stack development and AI application development, while not directly related to a Data Analyst role, shows a breadth of technical interest and adaptability. However, the primary focus remains on data analysis, indicating a good fit for roles requiring analytical rigor and reporting skills.
Soft Skills & Operational Fit
The candidate's project descriptions and certifications suggest a detail-oriented and analytical mindset. The academic projects and internship experiences indicate an ability to work on structured tasks and contribute to data-driven decision-making. The English test score of 78 suggests good communication clarity, which is beneficial for presenting analytical findings.