About
Career Overview
Hi! I'm Dhivyalakshmi, a passionate and dedicated tech enthusiast with a strong interest in Artificial Intelligence, Machine Learning, and innovative software solutions. I thrive on solving real-world problems through code and constantly seek opportunities to grow and refine my skills.
With a solid academic foundation and hands-on experience across diverse projects, I strive to deliver high-impact solutions and contribute meaningfully to every team I become a part of. I’m known for being committed, sincere, and always eager to learn — traits that help me adapt quickly and perform effectively in dynamic environments.
I believe in delivering results with integrity and am driven by the goal of making a positive and lasting impact wherever I work.
🎓 Education
📘 B.Sc. Computer Science
Jairam Arts and Science College
2016 – 2019
Score: 83%
🎓 M.Sc. Computer Science
Shri Sakthikailash Women’s College
2019 – 2021
Score: 90.2%
🤖 Domain expert on Machine Learning
Imagecon Academy
2025
Key Academic Achievements
Recognitions and Awards
2nd University Rank – MSc Computer Science
I am honored to have secured the 2nd Rank at the University level in my MSc Computer Science program. This achievement stands as a testament to my consistent effort, curiosity, and commitment to academic excellence.
Experience
🏢 Software Application Developer
Ensemble Nexgen, Salem, Tamil Nadu
📍 Engineering Consultant | 🕒 2 Year Experience
Apr 2023 - May 2025
During my time at Ensemble Nexgen, I worked as a Project Developer where I:
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🔧 Developed and guided academic and industrial projects across various domains.
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💡 Provided technical mentorship to engineering and computer science students.
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📊 Worked on real-world problem-solving using Python, AI, and software tools.
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📝 Helped design and implement innovative project models for final-year students.
Certification
Academic Achievements
Python Programming
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Python (Basic) – HackerRank
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Python Programming – Tutor Joe's Computer Education, Salem
Artificial Intelligence & Machine Learning
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Applied AI with Python – Infosys Springboard
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Introduction to AI – SoloLearn
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Introduction to AI – IBM SkillBuild
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Deep Learning with Python – Infosys Springboard
Career & Professional Development
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Career Edge – Knockdown the Lockdown – TCS iON
Technical Skills
📊 Data Science & AI
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Pandas, NumPy
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Matplotlib, Seaborn
🛠️ Tools & Platforms
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Jupyter Notebook
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spyder & IDLE
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Git & GitHub
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Google Colab
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TCS iON, Infosys Springboard
☁️ Cloud & Deployment
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Google Cloud (basic)
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Streamlit (for app deployment)
🧠 Programming Languages
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Python
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SQL(Basic) _ PyMySql
Mini Projects
Stock Price Trend Prediction using LSTM in Streamlit
Long Short-Term Memory (LSTM) neural network model. It uses historical stock data pulled via the Yahoo Finance API, processes and normalizes the data, and trains a deep learning model to make predictions on future closing prices.
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Real-time stock data loading using yfinance
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Data visualization for stock closing prices
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LSTM-based model for sequential prediction
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Scalable architecture with live user input
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Clean and user-friendly Streamlit interface
AI Age Prediction Suite Using Image & Video
An interactive web application that combines computer vision and deep learning to predict age from facial images and videos in real time. Built using Streamlit, OpenCV, and Caffe-based models, the suite supports three modes of operation:
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Image Mode: Upload a photo to detect faces and estimate ages.
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Video Mode: Analyze pre-recorded videos with frame-by-frame age prediction.
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Live Mode: Stream from your webcam and receive live age predictions.
With a visually appealing UI and optimized performance (30+ FPS), this tool showcases practical AI application in biometric analysis. Models are trained on the IMDB-WIKI dataset and fine-tuned for real-time responsiveness.
Intelligent Energy Usage Uploader & Viewer
This mini project is a web-based dashboard built with Streamlit that enables users to log in, upload household energy consumption data, and preview it for further analysis. The goal is to provide an interactive and user-friendly interface to help users manage and monitor their energy usage.
Technology:
PythonCore programming language
StreamlitUI framework for web dashboard
PandasData handling and processing
CSV FileUser credential and data storage format
HTML/CSS (Inline)Styling within Streamlit for better UX