AI Engineer with less than a year in data analysis, visualization, and ML concepts.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Digital Specialist Engineer with a B.Tech in Artificial Intelligence and Data Science. Proficient in Python, SQL, Excel, and Power BI for data analysis, visualization, and dashboard development. Strong foundation in data analytics, programming fundamentals, AI/ML concepts, and digital engineering practices. Adept at transforming data into actionable insights and supporting technology-driven business solutions.
Priyadarshini College Of Engineering
B.Tech · Artificial Intelligence And Data Science
June 1, 2021 – June 1, 2025
Nityanand Vidyalya
XII Standard
April 1, 2020 – March 1, 2021
Adarsh Vidya Mandir
X Standard
June 1, 2018 – March 1, 2019
E-commerce Product Analysis
June 1, 2026 – Present
Analyzed an e-commerce dataset to find top-selling products and customer preferences. Used SQL to extract and aggregate data from multiple tables. Created Power BI dashboards for product sales insights.
Employee Attrition Analysis
June 1, 2026 – Present
Analyzed HR dataset to identify factors affecting employee attrition. Applied statistical analysis to find correlations between variables. Designed a dashboard to visualize attrition patterns and insights.
Certified in Python Programming
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in data analysis and visualization, which are relevant to an AI Engineer role. However, the projects are personal and entry-level, lacking diversity in complex AI/ML applications or team collaboration. The experience level is entry-level, which might require significant mentorship and ramp-up time in a senior-level environment.
Soft Skills & Operational Fit
The candidate's role as an Executive Member in a college committee suggests organizational and coordination skills. However, there is insufficient data to assess other soft skills like logical reasoning, work attitude, stress handling, or team collaboration.