Data Science Machine Learning

Deepack.S

842-***-**** # ***************@*****.*** ï Linkedin § Github

Objective

Motivated engineering student with a strong foundation in Artificial Intelligence and Data Science, experienced in machine learning, data analysis, and software development. Seeking to leverage technical skills and practical experience in a challenging role to contribute to innovative projects and further develop expertise in the field. Education

Jeppiaar Engineering College Aug 2021 – June 2025

Bachelor of Technology in Artificial Intelligence and Data Science Chennai, TN Imarticus Learning Jan 2022 – Sep 2024

Post Graduate program in Data analytics Chennai, TN Experience

Data Pattern Dec 2024 to June 2025

Generative AI Developer Coimbatore,TN

• Arabic Text Extraction: Built OCR models capable of accurately extracting and processing Arabic text from complex document formats.

• Chatbot Development: Designed and implemented intelligent, context-aware chatbots to enhance customer interactions and automate responses.

• Voice translation: Developed a pipeline that converts spoken language input into translated speech output using ASR, machine translation, and TTS models, enabling real-time multilingual communication.

• Applied natural language processing (NLP), computer vision, and deep learning techniques to create innovative AI-driven solutions.

• Tools and technologies: Python, TensorFlow, PyTorch, OpenAI APIs, and domain-specific AI frameworks. Imarticus Learning Sep 2024 – Oct 2024

Data Analyst Chennai, TN

• Worked on various machine learning models, including linear regression, logistic regression, random forest, decision tree, KNN, SVM, Naive Bayes, k-means clustering, time series, deep learning, computer vision, NLP.

• Gained hands-on experience with SQL and Python.

Accenture Aug 2024–Sep 2024

Data Analytics and Visualization Job Simulation Virtual Intern

• Worked on Project Understanding, Data Cleaning & Modeling, Data Visualization & Storytelling, and Presenting to the Client.

Projects

Multiple disease prediction Random Forest classifier

Developed a machine learning model to predict the likelihood of diseases based on health-related attributes.

Followed a systematic approach: data preparation, splitting, model training, and selection of the best-performing model.

Achieved early disease detection, aiding healthcare providers in diagnosis and management. Tomato Leaf Disease Prediction Computer Vision

Developed a YOLO-based model to classify tomato leaf conditions as healthy or diseased.

Automated the detection process, enabling early identification and intervention for plant health management.

Supported farmers and agricultural specialists by improving crop yield and addressing diseases promptly.

Tools and technologies: YOLO algorithm, Python, computer vision techniques. Technical Skills

• Programming: SQL, Python, PySpark

• Data Engineering: Hadoop, Big Data, MongoDB

• Data Visualization: Power BI, Tableau, Matplotlib

• Cloud and Deployment: Azure, Databricks, AWS

• Machine Learning and AI: PyTorch, Hugging Face Libraries, Computer Vision

• Generative AI: API Handling,Prompt Fine-Tuning,Model Training

• Statistical Analysis and Tools: Excel, Hypothesis Testing, Statistical Methods

• Version Control: Git

Non-Technical Skills

• Communication

• Collaboration

• Problem-Solving

• Leadership

• Time Management

• Adaptability

• Critical Thinking

• Decision Making

Certification

Imarticus-Post Graduate Program in Data Analytics and Machine Learning Accenture Data Analytics and Visualization Job Simulation MongoDB CURD Operations and Data Modelling

Oracle Cloud Infrastructure Certified

Key Accomplishments

• Developed and deployed a chatbot using open-source models, increasing user engagement by 30% The bot offered 24/7 support and significantly reduced response times.

• Built an OCR-based document translation system It accurately extracted and translated text from scanned documents in multiple languages.

• Created an AI-driven automation system, cutting processing time by 40% This improved operational efficiency and reduced costs.

Acknowledgment

I hereby declare that the above-mentioned details are true to the best of my knowledge and belief. I am committed to upholding the highest standards of professionalism and integrity in all my endeavors Signature

Deepack.S

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