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Data Science with less than a year in Machine Learning & Data Analytics
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Assessing your cultural and operational fit
AI & Data Science graduate skilled in Python, SQL, Machine Learning, Deep Learning, Data Analytics, and Power BI. Completed 20+ hands-on assignments and developed projects in Recommendation Systems, Medical AI, WhatsApp Automation, and Forex Trading Bots. Seeking opportunities as a Data Analyst, Data Engineer, or Data Scientist to apply analytical, problem-solving, and data-driven decision-making skills.
Dhanalakshmi Srinivasan Engineering College
Bachelor of Technology (B.Tech) · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Government Higher Secondary School
Higher Secondary Education · Computer Science
June 1, 2020 – May 31, 2022
Online Course Recommendation System | Machine Learning & Recommendation Engine
June 1, 2026 – Present
Developed an Online Course Recommendation System to suggest personalized courses based on user interests, ratings, and enrollment history. Performed Exploratory Data Analysis (EDA), data cleaning, and preprocessing to identify learning patterns and improve recommendation accuracy. Implemented recommendation techniques including Collaborative Filtering, Content-Based Filtering, and Hybrid Recommendation models. Built a scalable recommendation workflow to enhance user learning experience and support data-driven course suggestions.
Congenital Heart Disease Prediction | Deep Learning & Medical AI Python
May 1, 2026 – Present
Developed a Deep Learning-based system to detect Congenital Heart Disease (CHD) from medical image datasets for disease classification. Implemented and compared CNN, EfficientNet+LSTM, and Vision Transformer (ViT)+LSTM models to improve prediction performance. Performed image preprocessing and data augmentation using OpenCV and TensorFlow techniques such as resizing, normalization, and augmentation. Evaluated model performance using Accuracy, Precision, Recall, F1-Score, ROC Curve, and Confusion Matrix to identify the best-performing model.
WhatsApp Automation System | Workflow Automation & AI Integration
April 1, 2025 – April 1, 2025
Developed an automated WhatsApp notification system using n8n and AI workflow integration. Designed automated response workflows for customer engagement and campaign management. Improved operational efficiency by reducing manual communication tasks.
Forex Trading Bot | Algorithmic Trading & Automation
March 1, 2025 – March 1, 2025
Developed an automated Forex trading bot using MQL5 and MetaTrader 5. Implemented real-time trade execution and strategy-based decision-making. Integrated risk management features including stop-loss, take-profit, and dynamic lot sizing.
Data Science Programme
EXCELR
April 1, 2026 – Present
Python & NLP Bootcamp
Unknown
July 1, 2025 – Present
Data Visualization
Unknown
May 1, 2025 – Present
Power BI
Unknown
April 1, 2025 – Present
Data Analytics
Unknown
March 1, 2025 – Present
Data Analytics & Visualization Job Simulation
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic and personal projects demonstrate a strong interest in applying AI and Data Science to various domains, from healthcare to finance and customer engagement. This diversity, coupled with a clear target role alignment (Data Analyst, Data Engineer, Data Scientist), suggests a good cultural fit for an organization that values innovation, continuous learning, and practical application of technical skills. The pursuit of multiple certifications further reinforces a proactive learning mindset.
Soft Skills & Operational Fit
The candidate lists communication & teamwork, problem-solving, time management, and adaptability as soft skills. While these are crucial for operational fit, there is no assessment data to validate these claims. The project descriptions indicate an ability to tackle complex problems and manage project scope, which aligns with problem-solving and time management. The diversity of projects suggests adaptability.