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AI Engineer with 1+ years in Generative AI & Data Analytics
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Assessing your cultural and operational fit
Data Analyst & AI Engineer with 1+ years of professional experience blending Generative AI automation with robust data analytics. Proficient in Python, SQL, and Power BI to transform complex datasets into actionable business strategies and optimize workflows. Proven track record in predictive modeling, NLP, and building interactive enterprise dashboards.
Sir Padampat Singhania University
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2021 – June 30, 2025
Obbserv
AI Artist / Prompt Engineer
April 1, 2025 – April 1, 2026
Udaipur, Rajasthan, India
Xebia
AIML Intern
June 1, 2024 – July 1, 2024
India
Sales Insights – End-to-End Data Analytics
December 1, 2025 – January 1, 2026
Developed an end-to-end ETL data pipeline utilizing complex SQL queries for deep database cleaning and business logic extraction. Conducted data transformations in Python and designed multi-view Power BI dashboards to monitor high-level business revenue trends.
Credit Card Fraud Analysis
January 1, 2025 – April 1, 2025
Analyzed a 280K+ transaction dataset using SMOTE and ADASYN techniques to resolve severe data skewness and optimize fraud detection models. Tuned Random Forest and XGBoost classifiers and built a dynamic Power BI dashboard to visualize transaction risk hot-spots for stakeholders.
Cultural Fit Analysis
The candidate's projects and experience show a blend of data analytics and generative AI, which aligns well with an AI Engineer role. The personal projects demonstrate initiative and a proactive approach to learning and applying new technologies. The 'AI Artist / Prompt Engineer' role suggests an innovative mindset. The breadth of skills across data, ML, and generative AI indicates adaptability and a willingness to explore different facets of AI.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex datasets and deliver actionable insights, suggesting problem-solving and analytical skills. The 'AI Artist / Prompt Engineer' role implies creativity and attention to detail in AI output. However, specific soft skills like teamwork, leadership, or communication in a collaborative setting are not explicitly detailed in the provided data.