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AI Engineer with less than a year in Data Analysis, Machine Learning & Python
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Assessing your cultural and operational fit
Skilled in Python, C, C++, and SQL with hands-on experience in data analysis, Power BI, and developing solutions. Eager to leverage my technical and analytical skills to contribute to EY's IAM team, ensuring secure and efficient access management for users worldwide. Committed to continuous learning and thriving in dynamic, collaborative environments.
JECRC University, Jaipur Rajasthan
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
Tagore Science Residential School
12th RBSE Score-88%
N/A – Present
Arogya Pandit Private Limited
Researcher-GenAI & Multi-Agent Intern
July 1, 2024 – November 1, 2024
India
SIH Hackathon
June 28, 2026 – Present
Develop a digital platform to connect urban markets with rural artisans, enhancing the growth, market reach, and sustainability of handicraft products through real-time surveys and resource matching.
Automated ATS Resume Scoring using LLM and Gemini API Integration
July 1, 2024 – November 1, 2024
The Gemini Applicant Tracking System (ATS) leverages AI to enhance hiring by analyzing resumes against job descriptions, identifying missing keywords, and generating profile summaries. It helps recruiters quickly assess and guide candidates effectively. YouTube Demonstration Video
View ProjectLending Club Issued Loans Analysis
April 1, 2024 – June 1, 2024
Built an interactive Loan Analysis Dashboard in Qlik Sense using a 5k-row Lending Club dataset with visual KPIs for total loan amount (22.95k), collection recovery fee (5.13M), average loan (14.71k), and overall utilization (44.99M). Designed 11 detailed visualizations, including bar charts for income vs. payment, state-wise loan accounts, pie chart for Individual vs. Joint applications, scatter plot for loan comparisons, and a map of different counties. Enabled clear insights into state trends, recovery amounts, borrower profiles, and loan performance over time to support data-driven lending strategies and risk analysis. YouTube Demonstration Video
View ProjectSMS SPAMCLASSIFIER
February 1, 2024 – April 1, 2024
Developed an SMS Spam Classifier using Machine Learning to enhance communication security by filtering out spam messages. Focused on data processing, model development, and the deployment of a user-friendly interface using Streamlit. Achieved robust spam detection accuracy, improving message integrity and user experience.
Statistical Data Analysis using Python
Unknown
June 1, 2026 – Present
English Fluency Certification Course
Unknown
June 1, 2026 – Present
Google Cloud Arcade Level 3 Badge + Google Cloud Skills Boost Badges
Google Cloud
June 1, 2026 – Present
Natural Language Processing
Unknown
June 1, 2026 – Present
Deep Learning and Neural Networks
Unknown
June 1, 2026 – Present
MACHINE LEARNING PATTERN RECOGNITION
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying learned skills to real-world problems (e.g., Lending Club analysis, ATS system, SMS spam classifier). The SIH Hackathon participation indicates an interest in collaborative problem-solving and social impact. The internship experience in GenAI and multi-agent systems shows alignment with cutting-edge AI research and development. The breadth of certifications in AI/ML and cloud technologies suggests a strong drive for continuous learning and skill development, which is a positive indicator for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on practical applications of AI/ML. The SIH Hackathon achievement suggests teamwork and problem-solving skills. However, without specific psychometric or communication test results, a detailed assessment of soft skills and operational fit is limited. The candidate's objective mentions commitment to continuous learning and thriving in dynamic, collaborative environments, which aligns with a positive operational fit.