π Hi, I'm Lomada Siva Gangi Reddy [ π Visit My Portfolio ]
- π B.Tech in Computer Science & Engineering (Data Science) β RGMCET (2021β2025) | CGPA: 8.3
- π Aspiring Data Scientist / Data Analyst passionate about AI, ML, and Data Analytics
- πΌ Skilled in Python, SQL, Power BI, Excel, ML, DL, Visualization
- π Based in Andhra Pradesh, open to opportunities in Hyderabad, Bengaluru, Chennai, Pune
- π± Currently exploring Advanced Deep Learning & End-to-End ML Pipelines
- Programming :
Pythonβ’SQLβ’Javaβ’Cβ’Rβ’HTMLβ’CSS - Data Science & AI :
Data Preprocessingβ’Data Visualizationβ’Data Analyticsβ’Machine Learningβ’Deep Learning - Tools :
Excelβ’MySQLβ’Power BIβ’Jupyter Notebookβ’VS Code - Libraries & Frameworks :
Numpyβ’Pandasβ’Matplotlibβ’Seabornβ’TensorFlowβ’Kerasβ’Scikit-learn - Soft Skills :
Teamworkβ’Problem Solvingβ’Communicationβ’Quick Learningβ’Time Management
- π Building AI/ML projects with clean MLOps-style structure
- π Deploying ML models with Streamlit / FastAPI
- π§ Diving deeper into
**Deep Learning**,**Computer Vision**and**NLP** - π Practicing DSA & SQL on LeetCode / GFG regularly
π Aug 2025 β Oct 2025
- Worked on real-world data analysis and AI-driven projects under industry mentorship.
- Gained hands-on experience with Python, SQL, Machine Learning, and Streamlit for interactive analytics.
- Developed and deployed end-to-end data visualization dashboards and text-based AI models.
- Analyzed restaurant dataset to identify patterns in ratings, food types, and pricing
- Built visualizations for customer preferences and restaurant performance evaluation
- Tools:
Pythonβ’Pandasβ’NumPyβ’Matplotlibβ’Seabornβ’Scikit-learnβ’Streamlit - π Delivered actionable insights on customer preferences, city-level trends, and restaurant performance
- Built a GRU-based RNN to generate text sequences from a custom corpus
- Features seed text input, beam search, and interactive Streamlit web app for real-time text generation
- Efficient lightweight architecture with fewer parameters than LSTMs for faster training
- Tools:
Pythonβ’TensorFlow/Kerasβ’Streamlitβ’NumPyβ’Pandasβ’Matplotlib
- Developed CNN + LSTM + Decision Tree + Random Forest models on bioristor IoT sensor data
- Predicted plant water stress levels to enable smart irrigation & water conservation
- Tools:
Pythonβ’TensorFlowβ’Scikit-learnβ’Pandasβ’Matplotlib - π Published in Periodico di Mineralogia (DOI: 10.5281/zenodo.15047038)
- Built a CNN-based deep learning model to classify rice grain varieties from images
- Predicted Arborio, Basmati, Ipsala, Jasmine, Karacadag with confidence scores
- Developed an interactive Streamlit web app for real-time predictions
- Tools:
Pythonβ’TensorFlow/Kerasβ’Streamlitβ’NumPyβ’Matplotlib
- Built an interactive chatbot to retrieve real-time information from Wikipedia
- Integrated Wikipedia API for knowledge extraction
- Tools:
HTMLβ’CSS, JavaScriptβ’API integration - π Useful for educational assistance & quick knowledge queries
| π Project | π Description | π Tech Stack | π Links |
|---|---|---|---|
| π± Water Stress Prediction | Predicted water stress using CNN+LSTM+ML on IoT data | Python, TensorFlow, Sklearn | Demo |
| πΎ Rice Type Classifier | Classified rice varieties with CNN and Streamlit app | Python, Keras, Streamlit | Demo |
| π Text Generation | GRU-based RNN for sequence generation with beam search | Python, TensorFlow, Streamlit | Demo |
| π€ Word Search Chatbot | Interactive chatbot using Wikipedia API | HTML, CSS, JS, API | Demo |
| π Zomato Dashboard | Data analysis & visualizations for restaurant insights | Python, Pandas, Seaborn | Demo |
- β Enhanced CNN-Based Classification and Forecasting of Water Stress in Tomato Plant Utilizing Bioristor Data
Periodico di Mineralogia, Vol. 94, Issue 2 (2025)
- β Data Science Course Certification β CEDLEARN
- β AI Generalist Credential β Digital Maven
- β Machine Learning Internship β SkillDzire
- β Data Science Internship β CEDLEARN
- β Java Full Stack Development β Wipro TalentNext
- β SQL Certification β Programming Hub
- β Big Data & Hadoop β edX
- β Data Science Guided Path β Coding Ninjas Studio
- π Certificate of Merit β Naukri Campus Young Turks (Top 93.91 percentile)
- π― HackerRank: Python, Java, SQL (5β each)
- π» Solved 50+ coding problems on LeetCode & GeeksforGeeks
- π Published research paper in an international journal (2025)
π Open to collaborations in Data Science, AI & ML Projects!
Thank you for visiting my GitHub! π Check out my projects, connect with me, and let's collaborate! π€