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AI Engineer with less than a year in Data Analytics & Web Development.
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Uday Venkat is an aspiring AI Engineer pursuing a B.Tech in CSE-AIML, with 3 months of hands-on internship experience. He possesses a strong foundation in data analytics tools like SQL, Tableau, and Excel, coupled with programming skills in Python, Java, and R. Uday has applied his expertise in developing an AI-based vehicle recommendation system and an interactive retail sales dashboard, showcasing his abilities in data manipulation, visualization, and web functionalities.
Aditya College Of Engineering & Technology [JNTUK]
B. Tech · CSE-AIML
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior College [BIEAP]
Intermediate · MPC
June 1, 2020 – May 31, 2022
Sofia Good Care School [SSC]
SSC
June 1, 2019 – May 31, 2020
Technical Hub
Intern
May 1, 2024 – July 1, 2024
India
Vehicle Recommendation System
June 1, 2026 – Present
Developed an AI-based vehicle recommendation system that suggests suitable cars and bikes to users based on their preferences, budget, mileage requirements, and usage patterns.
Retail Sales Analysis and Dashboard
June 1, 2026 – Present
Developed an interactive sales dashboard using Tableau and SQL to analyze 10,000+ sales records. Performed data cleaning in Excel, created SQL queries for KPI analysis, and visualized revenue, profit, customer segments, and regional performance.
Programming Essentials in C
Cisco Netcad Academy
June 1, 2026 – Present
IT Specialist Java certificate
Certiport Pearson
June 1, 2026 – Present
IT Specialist Python certificate
Certiport Pearson
June 1, 2026 – Present
Data Analytics Essentials
Cisco Netcad Academy
June 1, 2026 – Present
Programming in Python
Cisco Netcad Academy
June 1, 2026 – Present
IT Specialist HTML and CSS certificate
Certiport Pearson
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a breadth of interest across AI/ML, data analysis, and web development. This diversity suggests an openness to learning and adapting to different technical areas. The target role of 'AI Engineer' aligns with the 'Vehicle Recommendation System' project, indicating a direct interest. The multiple certifications further support a self-driven learning approach, which is a positive cultural fit indicator. However, the experience is primarily academic and internship-based, limiting insights into collaborative work environments.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through multiple certifications and an internship covering diverse technologies. The project descriptions indicate an ability to work on structured tasks and apply learned concepts. However, without psychometric or English test scores, a comprehensive assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.