👋 Hi, I'm Lomada Siva Gangi Reddy [ 🌐 Visit My Portfolio ]
- 🎓 B.Tech in Computer Science & Engineering (Data Science) — RGMCET (2021–2025) | CGPA: 8.3
- 📈 Aspiring Data Scientist / Data Analyst passionate about AI, ML, and Data Analytics
- 💼 Skilled in Python, SQL, Power BI, Excel, ML, DL, Visualization
- 📍 Based in Andhra Pradesh, open to opportunities in Hyderabad, Bengaluru, Chennai, Pune
- 🌱 Currently exploring Advanced Deep Learning & End-to-End ML Pipelines
- Programming Languages & Databases: •
Python•SQL - Data Science & AI : •
Data Preprocessing•Data Analytics•ML•DL•NLP•LLM - Tools : •
Excel•MySQL•Power BI•Jupyter Notebook•VS Code - Libraries & Frameworks : •
Numpy•Pandas•Matplotlib•Seaborn•TensorFlow•Scikit-learn•NLTK - Soft Skills : •
Teamwork•Problem Solving•Communication•Quick Learning•Time Management
- 🚀 Building AI/ML projects with clean MLOps-style structure
- 🌐 Deploying ML models with Streamlit / FastAPI / Flask
- 🧠 Diving deeper into
**LLM**,**Computer Vision**and**GenAi**
📍 Hyderabad, India | 📅 Mar 2026 – Present
- Working on real-world data engineering tasks and scalable systems
- Building data pipelines and ETL workflows
- Performing data migration across systems
- Optimizing performance using Snowflake features
Skills: ** • Snowflake • SQL • Python • ETL • Data Pipelines**
📅 Oct 2025 – Dec 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.
- 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:
Python•TensorFlow/Keras•Streamlit•NumPy•Pandas•Matplotlib
- Analyzed restaurant dataset to identify patterns in ratings, food types, and pricing
- Built visualizations for customer preferences and restaurant performance evaluation
- Tools:
• Python•Pandas•NumPy•Matplotlib•Seaborn•Scikit-learn•Streamlit - 📈 Delivered actionable insights on customer preferences, city-level trends, and restaurant performance
- 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:
Python•TensorFlow•Scikit-learn•Pandas•Matplotlib - 📑 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:
Python•TensorFlow/Keras•Streamlit•NumPy•Matplotlib
- Built an end-to-end Business Intelligence dashboard to analyze credit card transactions and customer behavior
- Delivered Weekly, Quarterly & YTD insights on revenue, transactions, activation, and delinquency
- Designed a SQL-based data model with One-to-Many relationships for analytical reporting
- Created DAX measures for revenue, customer segmentation, and time intelligence (WoW analysis)
- Developed an interactive Power BI dashboard with slicers for card type, gender, income, region, and transaction mode
- Tools:
Power BI•SQL (MySQL)•DAX•Data Modeling•Data Analytics
- Developed an end-to-end Machine Learning & Deep Learning web application to predict used car prices
- Implemented Random Forest & ANN models with preprocessing pipelines for accurate predictions
- Built a professional Streamlit dashboard with INR-formatted outputs
- Included feature importance, depreciation trends & market insights (XAI)
- Tools:
Python•Scikit-learn•TensorFlow/Keras•Pandas•NumPy•Streamlit
- Built an interactive chatbot to retrieve real-time information from Wikipedia
- Integrated Wikipedia API for knowledge extraction
- Tools:
HTML•CSS, JavaScript•API integration - 📚 Useful for educational assistance & quick knowledge queries
| 🚀 Project | 📝 Description | 🛠 Tech Stack | 🔗 Links |
|---|---|---|---|
| 🌱 Water Stress Prediction | Predicted water stress using CNN+LSTM+ML on IoT data | Python, TensorFlow, Sklearn | Demo |
| 🌾 Rice Type Classifier | Classified rice varieties with CNN and Streamlit app | Python, Keras, Streamlit | Demo |
| 🚗 Car Price Prediction | AI-powered web app for used car price prediction using ML & DL models | Python, Scikit-learn, TensorFlow, Streamlit | Demo |
| 📝 Text Generation | GRU-based RNN for sequence generation with beam search | Python, TensorFlow, Streamlit | Demo |
| 💳 Credit Card Dashboard | Interactive Power BI dashboard for financial performance, customer behavior & risk analysis | Power BI, SQL, DAX, Data Modeling | Demo |
| 🤖 Word Search Chatbot | Interactive chatbot using Wikipedia API | HTML, CSS, JS, API | Demo |
| 📊 Zomato Dashboard | Data analysis & visualizations for restaurant insights | Python, Pandas, Seaborn | Demo |
- ⭐ Enhanced CNN-Based Classification and Forecasting of Water Stress in Tomato Plant Utilizing Bioristor Data
Periodico di Mineralogia, Vol. 94, Issue 2 (2025)
- ✅ Data Science Internship — CEDLEARN
- ✅ SQL Skill-Up Certification – GeeksforGeeks
- ✅ Data Analyst – Simplilearn (Microsoft)
- ✅ Data Science Course Completion Certification — CEDLEARN
- ✅ AI Generalist Credential — Digital Maven
- ✅ Machine Learning Internship — SkillDzire
- ✅ Java Full Stack Development — Wipro TalentNext
- ✅ SQL Certification — Programming Hub
- ✅ Big Data & Hadoop — edX
- ✅ Data Science Guided Path — Coding Ninjas Studio
- 🏆 Certificate of Merit — Naukri Campus Young Turks (Top 93.91 percentile)
- 🎯 HackerRank: Python, Java, SQL (5⭐ each)
- 💻 Solved 50+ coding problems on LeetCode & GeeksforGeeks
- 📚 Published research paper in an international journal (2025)
🚀 Open to collaborations in Data Science, AI & ML Projects!
Thank you for visiting my GitHub! 🌟 Check out my projects, connect with me, and let's collaborate! 🤝