
AI Engineer with less than a year in Data Analysis & Machine Learning.
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Assessing your cultural and operational fit
Artificial Intelligence & Data Science graduate with hands-on experience in data analysis, machine learning, and turning data into actionable insights. Skilled in Python, SQL, data preprocessing, exploratory data analysis, visualization, and building and evaluating predictive models across structured and unstructured data. Experienced in end-to-end data workflows from cleaning and feature engineering to modeling. Seeking an entry-level Data Science or Data Analyst role to deliver data-driven, real-world impact.
KDK College of Engineering (RTM Nagpur University)
B.Tech · Artificial Intelligence
August 1, 2022 – June 30, 2026
VyomOne
AI/ML & Full-Stack Developer Intern
February 1, 2026 – Present
Hyderābād, Telangana, India
Teachnook (Teachscape Online Learning Services Pvt. Ltd.)
Data Engineer Intern
March 1, 2024 – April 1, 2024
India
VisionSpeak
June 23, 2026 – Present
AI-powered assistive tool for visually impaired users enabling real-time scene understanding and object recognition; built deep-learning image-captioning and OCR models (82% text-detection accuracy) with NLP and text-to-speech for conversational interaction.
View ProjectScholarSphere AI
June 23, 2026 – Present
Personalized research-paper recommendation system processing 5,000+ papers with semantic analysis, topic modeling, and citation-network analysis; improved recommendation relevance by 35% via hybrid TF-IDF and embedding models.
View ProjectOracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle Cloud Infrastructure
June 1, 2026 – Present
AWS Academy Graduate - Cloud Foundations
AWS Academy
June 1, 2026 – Present
MySQL for Data Analytics and Business Intelligence
Unknown
June 1, 2026 – Present
Crash Course on Python
Unknown
June 1, 2026 – Present
Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Oracle Cloud Infrastructure
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (VisionSpeak, ScholarSphere AI) demonstrate an interest in impactful AI applications and a proactive approach to learning new technologies. The internships, particularly the current AI/ML & Full-Stack Developer Intern role, show a willingness to engage in diverse technical tasks, from model development to full-stack components. The certifications in OCI and AWS, along with MySQL and Python, indicate a broad technical curiosity and a commitment to continuous learning. However, the experience level is 0, suggesting this candidate is very early career, which might not align with a senior AI Engineer role without significant mentorship and growth.
Soft Skills & Operational Fit
The candidate's project descriptions and internship roles suggest an ability to collaborate (Git/GitHub), apply problem-solving skills (improving recommendation relevance by 35%), and work with real-world datasets. The English test score of 66 indicates moderate communication clarity, which is acceptable for technical roles but could benefit from improvement for senior-level presentations or documentation. The psychometric test score is 0, which means no data is available to assess logical reasoning, work attitude, stress handling, or team collaboration.