About Me

Hello! I'm Rishikhadhar Basani, a B.Tech Computer Science and Engineering student at GITAM University, Hyderabad, specializing in Artificial Intelligence and Machine Learning. I’m passionate about exploring the intersection of AI and real-world problem-solving. With a solid academic foundation (CGPA: 8.34) and hands-on experience in deep learning and data science, I'm continually pushing myself to learn, build, and contribute to impactful tech solutions.

Tech Skills

Existing Skills:

• Programming Languages: Python, Java, C
• Machine Learning & AI Tools: Teachable Machine, Lobe.ai
• Deep Learning: TensorFlow, Keras, Scikit-learn
• Data Analysis & Visualization: Pandas, Matplotlib
• Database Management: MySQL, Oracle
• Data Structures & Algorithms: Arrays, Linked Lists, Trees, Graphs, Searching & Sorting
• Productivity Tools: Microsoft Excel, Word, PowerPoint

Planning to Learn:

• MLOps (CI/CD for ML models)
• Advanced NLP techniques (Transformers, BERT)
• Git & GitHub for version control
• Cloud AI (Google Cloud, AWS)

Projects I Worked On

SMS Spam Detection using GRU (Python, TensorFlow)

Built a deep learning model using GRU to classify SMS messages as spam or ham. Preprocessed and tokenized the text data, balanced the dataset using SMOTE, and trained the model to achieve 98.48% accuracy. Integrated live message prediction using TensorFlow and Keras.

Customer Churn Prediction using Machine Learning (Python, Scikit-learn)

Developed a customer churn prediction model using Logistic Regression, Decision Tree, and ensemble techniques like Bagging. By applying preprocessing, encoding, and normalization techniques, achieved 92.36% accuracy and visualized results using heatmaps and confusion matrix.

Sentiment Analysis using LSTM (Python, TensorFlow)

Developed a deep learning model with LSTM to analyze and classify text sentiment as positive or negative. Preprocessed and tokenized the input text data, embedded sequences using word embeddings, and trained the model using TensorFlow and Keras. Achieved high accuracy and integrated live sentiment prediction functionality for user-inputted text.

Certifications

• Machine Learning Foundation Certification - Infosys Springboard
• Explore Machine Learning Using Python - Infosys Springboard
• Programming For Everybody (Getting Started With Python) - University of Michigan
• C For Everyone: Programming Fundamentals - University of California, Santa Cruz
• Everyday Excel, Part 1, 2, 3 - University of Colorado Boulder
• Excel Skills For Business: Advanced - Macquarie University
• Create Informative Presentations With Google Slides - Coursera Project Network
• Introduction To Computers And Office Productivity Software - The Hong Kong University of Science and Technology

Aspirations

I aim to become a Machine Learning / AI Engineer, solving meaningful problems with data and intelligent algorithms. I'm also exploring the world of Cloud Engineering, where scalable, deployable AI meets real-world impact. My ultimate goal is to be part of transformative tech innovations that shape the future.