Akshaya Baskaran

[email protected] • 8825440760 • Tindivanam, Tamil Nadu, India, 604001
LinkedIn: linkedin.com/in/akshaya-baskaran

PROFESSIONAL SUMMARY

Motivated B.Tech student in Artificial Intelligence and Data Science with strong interest in AI, data analytics, and machine learning. Skilled in Python, data processing, CV techniques, and deep learning. Eager to work on real-world projects and apply technical knowledge practically.

WORK EXPERIENCE

Power BI Internship
Inspired Technology , Chennai, Tamil Nadu
• Completed a two-week internship at Inspired Technology, learning to work with Power BI for data visualization and dashboard creation
• Gained hands-on experience in handling datasets, building interactive reports, and understanding basic business analytics concepts
Data Science Internship
09/2025 - Present
Pinnacle Labs , Villupuram, Tamil Nadu
• Completed a one-month Data Science internship at Pinnacle Labs, working on data preprocessing, exploratory data analysis, and building basic machine learning models
• Gained understanding of data cleaning, pattern identification, and application of ML techniques in real-time projects

EDUCATION

B.Tech - Artificial Intelligence
09/2023
Takshashila University , Villupuram, Tamil Nadu GPA: 9.00 / 10
Higher Secondary Certificate (Maths + Computer Science)
03/2023
St. Joseph of Cluny Matric HR. SEC. School, Tindivanam , Tindivanam, Tamil Nadu

SKILLS

Technical Skills: Python, Machine Learning, Deep Learning, Neural Networks, Computer Vision, Data Science, Data Preprocessing, Model Training, Exploratory Data Analysis, SQL
Soft Skills: Logical Thinking, Problem Solving, Communication Skills
Tools: Power BI, TensorFlow, Keras, OpenCV, MediaPipe
Other: Data Visualization, Software Debugging, Model Evaluation

PROJECTS

Sign Language Interpreter
Technologies: Python, TensorFlow, OpenCV, Keras, Mobile Deployment, Convolutional Neural Networks, Speech Synthesis
• Developed a real-time Sign Language Interpreter application to facilitate communication for people with disabilities by translating hand gestures into text and speech using computer vision and deep learning techniques
• Implemented convolutional neural networks (CNN) with TensorFlow and OpenCV for accurate gesture recognition, achieving over 90% accuracy in diverse lighting and background conditions
• Led the full project lifecycle from data collection and model training to deployment on mobile platforms, resulting in improved accessibility and user engagement among over 500 active users
Sentiment Analysis Using Recurrent Neural Networks (RNN/LSTM)
Technologies: Python, TensorFlow, Keras, NLTK, Pandas, NumPy, Matplotlib, Jupyter Notebook
• Developed a sentiment analysis model using Recurrent Neural Networks (RNN) with Long Short-Term Memory (LSTM) units to accurately classify text sentiment from social media data
• Preprocessed and tokenized large-scale datasets to train the model, achieving over 85% accuracy in detecting positive, negative, and neutral sentiments
• Implemented end-to-end pipeline including data cleaning, model training, evaluation, and deployment, improving sentiment detection efficiency and enabling real-time analysis for user feedback

CERTIFICATIONS

IBM Deep Learning Certification
11/2025
IBM

ACHIEVEMENTS

• I participated in a robotics event where I learned the fundamental concepts of sensors, motors, and basic robot control.

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