AI Engineer with 1+ years in Machine Learning & QA Automation
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Assessing your cultural and operational fit
MBA professional ready to make an impact as a Business Analyst, HR, or AI/ML Analyst. Skilled in SQL, Excel, Machine Learning, Power BI, Java, and R programming. Driven by data, powered by logic, and passionate about solving real-world problems. Prepared to contribute from day one with a sharp analytical mindset and hands-on tech skills.
SRM University, AP
Master of Business Administration
August 1, 2024 – June 30, 2026
Vasireddy Venkatadri Institute of Technology
Bachelor of Technology · Civil Engineering
August 1, 2018 – June 30, 2022
VJ Junior college
MPC
June 1, 2016 – May 31, 2018
SSC
Secondary School Certificate
June 1, 2015 – May 31, 2016
GrayQuest
GQ Campus Captain
March 1, 2025 – May 1, 2025
India
SmartInternz
Trainee
December 1, 2023 – February 1, 2024
India
Cognizant Technology Solutions
Program Analyst Trainee
August 1, 2022 – February 1, 2023
India
Amazon Home Page testing using Katalon
June 1, 2026 – Present
Performed automated testing of Amazon's home page using Katalon Studio, designing and executing 30+ test cases to validate functionality, UI, and performance. Analyzed results to find 10+ critical defects, enhancing user experience and reducing regression issues by 25%.
Assessment of water quality using machine learning
June 1, 2026 – Present
Led a machine learning project to analyze water quality using 500+ collected samples. Trained models on 80% of the data, tested on 20%, and evaluated multiple algorithms. Identified Random Forest as the most accurate, achieving 92% prediction accuracy for water quality classification
AI-Based Formula 1 Strategy Optimization using Machine Learning
June 1, 2026 – Present
Developed machine learning models to predict pit-stop time loss and overtaking success using race variables such as lap number and grid position. Built MLP regression and classification models achieving an MSE of 18.38 and 78% accuracy to support data-driven race strategy decisions. Translated model outputs into actionable insights for optimizing real-time decision-making under uncertainty.
Sephora Virtual Try-On (AR & Machine Learning Application)
June 1, 2026 – Present
Analyzed AR and machine learning applications enabling real-time virtual makeup trials using facial recognition and image processing techniques. Studied CNNs, segmentation, and generative models for personalized recommendations across diverse skin tones and conditions. Evaluated business impact, identifying increased purchase likelihood and reduced product return rates through data-driven personalization.
AWS Academy Introduction to Cloud Semester 1
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a proactive interest in AI/ML applications across diverse domains (environmental, sports, retail), indicating curiosity and adaptability. Involvement in extracurricular activities and internships suggests a team-oriented mindset and a willingness to engage with stakeholders. The pursuit of an MBA alongside technical interests points to a desire for a broader business perspective, which can be a good cultural fit for roles requiring cross-functional collaboration.
Soft Skills & Operational Fit
The candidate's experience as a GQ Campus Captain and involvement in placement/student activity councils suggest strong communication, collaboration, and leadership potential. The descriptions of project work also indicate an ability to translate technical findings into business insights, which is valuable for operational fit.