Data Analyst with less than a year in Generative AI and Data Visualization
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Assessing your cultural and operational fit
Versatile and Results-Driven data professional with a unique blend of technical fluency and analytical insight. Proven ability to translate complex data into compelling narratives and dynamic visualizations that influence business strategy. Adept at designing scalable data models, automating complex workflows.
IOTA Academy
Certification · Data Analytics
August 1, 2024 – June 30, 2025
Shri Shankaracharya Technical Campus
Bachelors of Technology · Computer Science
August 1, 2020 – June 30, 2024
Augtech NextWealth
Process Executive
August 1, 2025 – Present
Bhilai, Chhattisgarh, India
Bank Loan Data Analysis
June 21, 2026 – Present
Developed a full-scale data analysis pipeline for a bank's loan portfolio containing 39000+ loan records. Designed & executed over 30+ SQL queries with aggregate functions to extract key business insights. Generated a KPI-driven loan performance report and bank statement for business designs and update.
Sales Performance Mobile Dashboard
June 21, 2026 – Present
Developed an interactive Power BI dashboard to track, mobile sales KPIs across cities, brands, price and mobile models, with 769M in total sales and 19000+ units sold across the global level. Provides insights by enabling year-over-year and month-to-date comparisons for data-driven decisions.
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and practical application of data analysis skills. The current role as a Process Executive in GenAI indicates an interest in cutting-edge technologies and a willingness to engage with complex data tasks. The blend of traditional data analysis skills (SQL, Power BI) with emerging AI skills suggests a proactive learning attitude. The academic background in Computer Science provides a solid foundation. The candidate's profile aligns with a data-driven culture that values continuous learning and practical application.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with large datasets and deliver business-oriented insights, suggesting a detail-oriented and results-driven approach. The experience in GenAI projects implies adaptability to new technologies and a structured approach to data quality. However, without specific behavioral assessment data, it is difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication in a collaborative setting.