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AI Engineer with less than a year in ML models, REST APIs & data dashboards.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fresh graduate with a BCA and MSc in Data Science, with hands-on experience building and deploying machine learning models, REST APIs, workflow automation systems, and data dashboards. Proficient in Python, SQL, TensorFlow, FastAPI, and Power BI. Seeking a developer or data science role where I can apply practical project experience and grow in an AI-driven environment.
Kalasalingam Academy of Research and Education (Distance)
MSc in Data Science · Data Science
August 1, 2024 – June 30, 2026
PSGR Krishnammal College for Women
Bachelor of Computer Applications · Computer Applications
August 1, 2020 – June 30, 2023
BMC Matriculation Higher Secondary School
HSC
June 1, 2019 – May 31, 2020
BMC Matriculation Higher Secondary School
SSLC
June 1, 2018 – May 31, 2019
Potato Disease Detection CNN Deep Learning
January 1, 2025 – June 1, 2026
Built a CNN-based image classification model using TensorFlow and Keras to detect potato leaf diseases across 3 categories: Healthy, Early Blight, Late Blight. Applied data augmentation and preprocessing techniques to improve model generalisation and achieve high classification accuracy. Deployed a FastAPI backend for real-time disease prediction from uploaded images with a user-facing HTML/CSS/JS web interface.
Automated Payment Reminder System
January 1, 2025 – June 1, 2026
Built a fully automated payment reminder workflow using n8n, eliminating manual follow-ups and saving estimated 5+ hours/week of team effort. Integrated Google Sheets API as a live data source to fetch and process payment records on a daily schedule trigger. Wrote Python classification logic to categorise payment statuses (Due Today, Overdue, Completed) and implemented conditional branching via IF nodes. Delivered personalised WhatsApp and SMS notifications through Twilio API based on payment category — end-to-end pipeline with zero manual steps.
Amazon Sales Analysis Dashboard - Power BI
January 1, 2025 – June 1, 2026
Designed an interactive Power BI dashboard to surface key business metrics including total profit, category-wise sales, and shipping cost analysis. Used DAX measures to calculate profit percentages, segment-wise distribution, and discount impact across multiple chart types.
Chatbot for Movie Ticket Booking - Dialogflow + FastAPI
January 1, 2025 – June 1, 2026
Developed an NLP-powered chatbot using Dialogflow that understands natural language to book movie tickets, check prices, and retrieve seat details by Order ID. Built a FastAPI backend connected to a MySQL database to process booking requests and serve responses in real time.
House Price Prediction - End-to-End ML Pipeline
January 1, 2025 – June 1, 2026
Developed an end-to-end machine learning pipeline to predict house prices from real estate data using feature engineering, cross-validation, and GridSearchCV. Selected Linear Regression as the optimal model after evaluating multiple algorithms; deployed predictions via a Flask web app with an HTML form interface.
Python Programming
Pantech E-Learning
June 1, 2026 – Present
Data Visualization and Dashboard with Excel and Cognos
Coursera
June 1, 2026 – Present
Developing Soft Skills and Personality
NPTEL
June 1, 2026 – Present
IBM Data Science Professional Certificate
Coursera
June 1, 2026 – Present
Excel Basics for Data Analysis
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in AI, machine learning, and data science, aligning well with an AI Engineer role. The diversity of projects, from image classification to NLP chatbots and workflow automation, suggests adaptability and a willingness to explore different domains within AI. The pursuit of a Master's degree in Data Science further indicates a growth mindset. However, the lack of professional experience means cultural fit in a team environment is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and an ability to deliver functional systems. The 'Automated Payment Reminder System' project highlights an understanding of process optimization and efficiency gains. However, without direct work experience, the operational fit regarding team collaboration, stress handling, and communication in a professional setting cannot be fully assessed from the provided data.