AI Research Engineer with less than a year in Data Analysis & Machine Learning
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Final-year B.Tech CSE (AI/ML) student at GITAM University with experience in Python, SQL, Machine Learning, Data Analysis, and Java. Built ML-based fraud detection systems, AI-powered research tools, end-to-end analytics dashboards, and led data-driven projects during internship. AWS ML, Google Cloud, and Cisco Data Analytics Essentials certified.
GITAM University
B.Tech · Computer Science & Engineering (AI/ML)
August 1, 2022 – June 30, 2026
Narayana Junior College
Intermediate · Mathematics, Physics, Chemistry
June 1, 2020 – May 31, 2022
Bhashyam High School
Secondary School (Class X)
June 1, 2019 – May 31, 2020
Bharath Economic Forum
DATABASE MANAGEMENT ASSOCIATE
May 7, 2025 – August 7, 2025
Online Payment Fraud Detection, Machine Learning
June 1, 2026 – Present
Trained and evaluated Random Forest and Logistic Regression classifiers on 284,807+ real-world transaction records; achieved 99.2% accuracy, outperforming baseline by 8.2%. Applied SMOTE, feature engineering, and 5-fold cross-validation; reduced false positive rate by 18%, directly applicable to fintech fraud analytics. Performed end-to-end EDA with Pandas and NumPy; visualized fraud patterns using Matplotlib and Seaborn; full pipeline from raw data to production-ready model.
View ProjectSales & Customer Analytics Dashboard
June 1, 2026 – Present
Analyzed retail sales data to evaluate revenue, profit, customer behavior, and regional performance using SQL, Power BI, Tableau, and Excel. Built SQL reports using CTEs and window functions for top customers, category-wise sales, monthly revenue trends, and regional performance. Designed KPI dashboards and performed sales, customer, and regional analysis to generate actionable business insights.
View ProjectAI Startup Intelligence Agent
June 1, 2026 – Present
Developed an AI-powered startup research assistant that generates company summaries, product analysis, competitor insights, business models, opportunities, and risk assessments using Google's Gemini API. Built an interactive Streamlit interface for real-time company intelligence generation through prompt engineering and LLM-based information synthesis. Designed a modular architecture to support future integration of Retrieval-Augmented Generation (RAG), LangChain workflows, and ChromaDB vector databases.
View ProjectATM Simulation System, Java (OOP, CLI)
June 1, 2026 – Present
Built a full-featured CLI banking system in Java implementing authentication, balance inquiry, deposits, and withdrawals using encapsulation, inheritance, and polymorphism. Achieved 40% reduction in transaction errors via robust input validation, exception handling, and unit test coverage across 5+ modular OOP classes. Designed modular architecture with clean separation of concerns; maintained complete technical documentation following SDLC best practices.
View ProjectAWS Academy Graduate - Machine Learning Foundations (Amazon Web Services)
Amazon Web Services
August 1, 2025 – Present
Google Cloud Computing Foundations Certificate
Google Cloud
August 1, 2025 – Present
Linux Essentials
Cisco Networking Academy
August 1, 2025 – Present
Data Analytics Essentials
Cisco Networking Academy
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of interests from fraud detection to AI-powered research tools and traditional data analytics, indicating adaptability and a broad technical curiosity. The 'AI Startup Intelligence Agent' project aligns well with an innovative, research-oriented environment. The internship experience, though brief, includes team leadership, suggesting a collaborative mindset. The certifications in AWS ML and Google Cloud further demonstrate a commitment to continuous learning and staying current with industry trends, which is a good cultural fit for a dynamic tech environment.
Soft Skills & Operational Fit
The candidate demonstrates leadership potential through their intern role as a Team Lead and project management skills. Their project descriptions highlight structured development practices (modular architecture, unit testing, SDLC) and problem-solving abilities. The academic projects show a proactive approach to learning and applying new technologies. However, the limited professional experience means operational fit in a senior role is yet to be fully proven.