Name: Hirthick S

Internship Role: NLP Engineer (6-month internship)

Address: Coimbatore, India

Skills

SQL 95%
PYTHON 85%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 80%
Deep Learning 80%

About

About Me

A highly motivated Data Science professional with a 5-Year Integrated MSc in Data Science from Thiagarajar College of Engineering and well experience in programming, analytics, and machine learning. Expertise in data analysis, statistical modeling, hypothesis testing, customer behavior analysis, and predictive analytics. Proven ability to lead projects, mentor teams, and develop data-driven strategies to solve real-world challenges. Strong foundation in engineering and machine learning, with hands-on experience in delivering innovative and scalable solutions. Passionate about leveraging AI and data insights to drive business growth. Skilled in Python, SQL, Power BI, NLP, and deep learning with a commitment to continuous learning and excellence.

  • Profile: Data Science & Analytics
  • Domain: AI & Data Science, Business Analytics, FinTech, Healthcare Analytics, Retail Analytics, BFSI, E-commerce
  • Education: 5-Year Integrated Master of Science in Data Science
  • Language: English, Tamil
  • BI Tools: Microsoft Power BI, Google Vision & Tableau
  • Other Skills: AWS, Pandas, PyTorch, TensorFlow, Scikit-learn, SQL, MongoDB, Git & Github
  • Interest: Traveling, Travel Photography, Teaching, Data Science Research

0 +   Repositories

Project Repositories

Resume

Resume

Focused NLP Engineer with hands-on experience transforming text data into actionable insights. Proven expertise in natural language processing, machine learning algorithms, text analytics, and end-to-end model deployment.

Experience


PROFESSIONAL EXPERIENCE 2024

SOFTWARE ENGINEER

Software Engineer Gateway Software Solutions Private Limited, Coimbatore

  • Developed a cyberbullying detection system using Natural Language Processing (NLP) and Machine Learning to analyze and classify social media content.
  • Implemented sentiment analysis, image classification using deep learning, and keyword-based filtering techniques to identify harmful content.
  • Utilized Python, TensorFlow, Scikit-learn, and NLP libraries for model development and performance optimization.
  • Built an interactive user interface with Streamlit for real-time monitoring and content visualization.
  • Integrated MongoDB for managing large-scale social media datasets efficiently.
  • Preprocessed data using tokenization, lemmatization, and stop-word removal to improve model accuracy.
  • Collaborated with team members to deploy the solution and ensured it adhered to data security guidelines.
  • Documented workflows and model performance to streamline system updates and knowledge sharing.

INTERNSHIP EXPERIENCE 2024

DATA SCIENCE SCHOLAR-TCE

Machine Learning Intern IIIT Allahabad

  • Predicted startup success rates using data analytics and machine learning techniques.
  • Handled data preprocessing, feature engineering, and predictive modeling.
  • Collaborated with team members to integrate models into production pipelines for real-time analysis.
Data Science & Analytics Intern IIT Kanpur
  • Developed AI solutions for crop prediction using soil and climate data.
  • Built predictive models with Python, Pandas, and TensorFlow.
  • Conducted exploratory data analysis to extract actionable insights from large datasets.
Web Development and Designing Intern OASIS INFOBYTE
  • Designed a hospital management system with HTML, CSS, and JavaScript.
  • Implemented database management for patient records.
  • Enhanced UI/UX by optimizing website layout and ensuring responsive design across devices.



Education


2021-2026

Integrated MSc in Data Science

Thiagarajar College of Engineering

Grade: First class distinction.

2020-2021

Higher Secondary School Education

Devasakayam Public School

Grade: First class distinction 90.92%.

Tech Stack I Am Interested In

Download CV

Projects

Projects

Below are sample Data Analytics projects using Machine Learning, Deep Learning, NLP, OpenCV, SQL, Python, and Power BI.

AI-Powered Medical Healthcare System for Multi-Disease Diagnosis

Develop an AI diagnostic system using machine learning and deep learning to detect Alzheimer’s, Brain Tumor, COVID-19, Diabetes, Heart Disease, Pneumonia, and Skin Cancer.

Real-time Object Detection and Tracking with YOLOv8 using Streamlit

Developed a real-time object detection and tracking system using YOLOv8 & Streamlit, ensuring fast, accurate identification & efficient tracking of objects in images & videos.

AI-Driven Agricultural Farming for Crop, Fertilizer, and Disease Management

A web platform powered by Machine Learning and Deep Learning, offering crop recommendations, fertilizer suggestions, and plant disease detection to enhance farming productivity.


Startup Success Prediction Using Machine Learning Techniques

This project uses machine learning to predict startup success based on key factors like funding and market trends, helping investors and entrepreneurs make informed decisions and minimize risks.

Cyberbullying Detection Using Natural Language Processing

This project utilizes Natural Language Processing techniques to identify & analyze cyberbullying in text data. It helps detect harmful content on social media, enabling proactive moderation & user protection.

License Plate Recognition using Deep Learning & OCR

This project uses deep learning and OCR to detect vehicle number plates, streamlining traffic monitoring and law enforcement with real-time processing and seamless automation.


Zomato Sales and Growth Dashboard Using Power BI

Power BI dashboard provides insights into Zomato's sales, user growth, and order trends. It visualizes key metrics like total sales, yearly growth, and average order value for data-driven decision-making.

Streamlit-Based Computer Vision Attendance System

Streamlit-based application leverages computer vision and facial recognition to automate attendance tracking. It enhances accuracy, efficiency, and reliability in attendance management systems.

Coffee Shop Sales Analytics Using an Excel Dashboard

Excel dashboard analyzes coffee shop sales & purchasing trends, visualizing key metrics to support data-driven business growth. It helps optimize sales strategies & improve customer experience.


Book Chapters, Conference and Journal


IET Digital Library – Brain Tumor Classification Using Deep Learning

IET Digital Library features a book chapter from Deep Learning in Medical Image Processing and Analysis. It explores brain tumor classification using deep learning techniques.

Software Startup Success Prediction at IEEE INCOWOCO 2024

Machine Learning Methods of Comparative Analysis, at IEEE INCOWOCO at Symbiosis International University, Pune. Engaged with experts and explored advancements in machine learning and computing.

Deep Learning Advancements in Malaria Diagnosis – IGI Global

CNN model achieves 96.5% accuracy in malaria detection using PyTorch and GPU acceleration. It explores data augmentation, hyperparameter tuning & transfer learning for improved diagnostics.


AI-Powered Human Recognition: Ethical Challenges and Future Directions – Journal of Artificial Intelligence

Ethical implications of AI-driven human recognition systems, addressing privacy concerns, biases & regulatory challenges. It also examines future advancements & responsible AI deployment strategies. ✅ This paper is ACCEPTED and ONGOING to PUBLISH!!!!

Optimizing Agricultural Decision-Making: Leveraging SMOTE and Machine Learning for Balanced Data Insights – CRC Press

Integration of SMOTE with machine learning to address data imbalance in agricultural decision-making, It significantly enhances predictive accuracy, ensuring reliable insights for sustainable farming practices. ✅ This paper is ACCEPTED and ONGOING to PUBLISH!!!!

CODING PLATFORM


0 Achievements
0 Projects
0 Mentored Students
0 Cups of coffee

More projects on GITHUB

I love to solve business problems & uncover hidden data stories

MEDIUM

Contact

Contact Me

Below are the details to reach out to me!

Address

Bengaluru, India

Contact Number

+91 7530053910

Download Resume

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