AI Engineer with less than a year in Python, SQL, and Power BI, actively working on Generative AI an
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AI/ML Engineering Undergraduate (6th Sem) with an 8.5 CGPA and certifications in Generative AI (DeepLearning.AI) and Data Analytics (Google/Tata). Proficient in Python, SQL, and Power BI, with a proven ability to build predictive models and interactive dashboards. Seeking an internship to apply specialized GenAI and analytical skills to solve real-world business challenges.
SMVIT, Bengaluru
B.E. in Artificial Intelligence & Machine Learning · Artificial Intelligence & Machine Learning
August 1, 2023 – June 30, 2027
Jnanasagara PU College
Pre-University Course (12th Grade)
June 1, 2020 – May 31, 2022
Jnanasagara International Public School
Secondary School Certificate (10th Grade)
N/A – May 31, 2020
Tata
Data Analytics & Visualization Trainee
October 1, 2025 – Present
India
Industry Simulation
GenAI Data Analytics Trainee
October 1, 2025 – Present
India
Hyperlocal AQI Predictor
June 28, 2026 – Present
Developed a fine-grained air quality prediction framework to overcome the limitations of traditional monitoring stations. Utilized environmental data clusters to provide localized, real-time AQI forecasts with high geographical accuracy.
Sensor-Based Bird Deterrent System
June 28, 2026 – Present
Designed an IoT-based system integrating hardware sensors with automated deterrent mechanisms for agriculture. Applied AI/ML concepts to build sustainable pest management solutions, reducing crop damage.
Generative AI
DeepLearning.AI
June 1, 2026 – Present
Professional Data Analytics
June 1, 2026 – Present
Python for Data Science
June 1, 2026 – Present
Advanced Microsoft Excel
GoSkills
June 1, 2026 – Present
Data Analytics & Visualization
Tata
June 1, 2026 – Present
Generative AI Studio
Google Cloud
June 1, 2026 – Present
Forensic Technology Virtual Experience
Deloitte
June 1, 2026 – Present
Data Analytics Simulation
Accenture
June 1, 2026 – Present
Agile Virtual Experience
Cognizant
June 1, 2026 – Present
Risk Profiling & GenAI Studio
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (Hyperlocal AQI Predictor, Sensor-Based Bird Deterrent System) show an interest in applying AI/ML to real-world problems, including environmental and agricultural domains. Internships in Data Analytics & Visualization and GenAI Data Analytics demonstrate a willingness to gain practical experience in different industry simulations. The breadth of certifications, including Agile and Forensic Technology, suggests a curious and adaptable mindset. However, as an undergraduate with limited professional experience, the depth of cultural fit in a senior role is difficult to fully ascertain.
Soft Skills & Operational Fit
The candidate's resume highlights academic projects and internships that suggest an ability to work on defined tasks and apply learned concepts. The descriptions of developing interactive dashboards and applying Generative AI tools for reporting indicate a focus on practical application and problem-solving. However, there is insufficient data to assess specific soft skills like leadership, teamwork dynamics, or stress handling beyond what can be inferred from project completion.