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AI Engineer with less than a year in Python, SQL, and Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with strong fundamentals in databases, SQL, Python, and problem-solving. Experienced in designing structured datasets, performing data analysis through academic projects, and applying logical thinking to derive meaningful insights. Passionate about data-driven solutions and continuous learning in analytics and data technologies.
JNTUGV
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Sri Chaitanya jr. College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Bhashyam High School
SSC
June 1, 2018 – May 31, 2019
Escrowise Sentinel : AI-Powered Cybersecurity for Secure Transactions
June 24, 2026 – Present
Implemented NLP-based analysis (BERT) on voice/text data to detect suspicious behavior. Integrated an escrow mechanism to ensure secure, verified fund transfers between parties. Focused on telecom/payment domains to reduce fraud risk using real-time voice and text analysis. Designed to serve as a proof-of-concept for fraud detection automation in fintech systems.
Flipkart Database Management System (SQL Project)
June 24, 2026 – Present
Designed and implemented a relational database using SQL to manage Flipkart-like e-commerce data. Created tables for users, products, orders, payments, and deliveries with proper relationships. Used SQL queries for data retrieval, filtering, joins, and aggregation. Ensured data integrity using primary keys, foreign keys, and constraints. Improved understanding of real-world e-commerce database design.
Machine Learning with Python
IBM
June 1, 2026 – Present
Frontend web development
Pixelwind Technologies
June 1, 2026 – Present
Introduction to Generative AI
IBM
June 1, 2026 – Present
Data Science Foundations
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in both traditional database management and cutting-edge AI applications (cybersecurity/fintech fraud detection). This diversity, coupled with certifications in AI/ML, suggests a proactive and curious individual. The stated interests in coding, exploring new tools, and continuous learning align well with a culture of innovation and growth often found in AI engineering teams. However, the lack of professional experience limits the assessment of their fit within a collaborative, fast-paced industry environment.
Soft Skills & Operational Fit
The candidate lists communication, team collaboration, problem-solving, adaptability, logical thinking, and leadership as soft skills. The project descriptions suggest an ability to apply logical thinking and problem-solving in academic contexts. However, without professional experience or specific examples, the depth of these skills in an operational setting is difficult to assess.