AI Engineer with less than a year in predictive modeling, Power BI, and LLM-powered systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI/ML Engineer and Data Analyst with hands-on experience building predictive models, interactive Power BI dashboards, and LLM-powered adaptive systems. Proficient in Python, DAX, and machine learning pipelines. Translates raw data into actionable business insights through data modeling, visualization, and automation. Targeting Data Analyst, AI/ML Engineer, and Business Analyst roles.
Bannari Amman Institute of Technology
B.E
August 1, 2022 – June 30, 2026
GHSS Polavakkali Palayam
HSLC
June 1, 2019 – May 31, 2021
SMGHSS Odathurai
SSLC
June 1, 2015 – May 31, 2019
Diabetes Mellitus Prediction
June 1, 2026 – Present
Developed a binary classification model using Logistic Regression and Scikit-learn on medical datasets including glucose, BMI, and insulin with full EDA and feature engineering. Evaluated model performance using accuracy, precision, recall, and confusion matrix for reliable early-risk prediction.
Personalized AI Mentor for Continuous Learning
June 1, 2026 – Present
Built an LLM-powered adaptive learning system using OpenAI GPT, LangChain, crawl4Al, and SerperAPI for real-time content retrieval. Implemented RAG pipeline, learner analytics, and automated skill-gap assessment to generate personalized learning paths aligned with job market trends.
Aqua Vision: Underwater Image Enhancement
June 1, 2026 – Present
Designed a multi-fusion image processing pipeline using PCA, dehazing, grayscale conversion, and contrast enhancement to improve underwater image clarity. Benchmarked performance across multiple datasets demonstrating measurable improvement in color correction and visual quality.
Retail Sales Analysis Dashboard
June 1, 2026 – Present
Designed end-to-end Power BI dashboard using Power Query and DAX to clean, transform, and model multi-country retail data across fact and dimension tables, enabling scalable KPI tracking (Total Revenue, Product Volume, Customer Ratings). Built 5 interactive slicers (State, Month, Brand, Payment Method, Product Type) to empower self-service stakeholder analytics and data-driven decision-making. Visualized sales performance and purchasing trends segmented by Country, Income, Gender, and Shipping Method, surfacing actionable business insights to support strategic reporting.
Data Analyst 101: Excel Formulas and Functions
Great Learning
June 1, 2026 – Present
Data Visualization with Power BI
Great Learning
June 1, 2026 – Present
Python for Machine Learning and Data Science Masterclass
Udemy
June 1, 2026 – Present
Basics of Python
UST Infosys Springboard, Coursera
June 1, 2026 – Present
Power BI Projects
SimpliLearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in AI/ML, data analytics, and business intelligence, which aligns well with an AI Engineer role that often requires interdisciplinary skills. The personal projects indicate self-motivation and a proactive learning attitude. However, the lack of professional experience and team-based projects makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and an ability to translate technical work into business insights. The focus on self-service analytics and actionable insights suggests an understanding of stakeholder needs. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or other operational soft skills.