AI & Data Science Enthusiast | Building intelligent solutions with Python, Machine Learning & Streamlit | Turning ideas into impactful projects
Hello! I’m Mudavath Akshay, an aspiring AI Developer & Data Scientist passionate about solving real-world problems using technology.
I hold a BSc in MSCS (Maths, Statistics, Computer Science) and have completed Data Science training with hands-on experience in Python, Machine Learning, Deep Learning, NLP, and Data Visualization tools like Power BI.
My key projects include:
AI Image Caption Generator: Built a deep learning model (CNN+LSTM with BLIP refinement) that generates descriptive captions for images with grammar correction, multilingual translation, and emotion tagging. Deployed with an interactive Streamlit web app.
Bank & Indian Population Data Analysis: Cleaned, visualized, and analyzed structured datasets to extract insights and build predictive models.
Climate Change Modeling: Used Random Forest Regressor to analyze NASA/NOAA datasets and predict climate indicators. Built a Streamlit dashboard for real-time predictions.
✨ What makes me different?
End-to-end project handling: from data cleaning → model building → deployment (Streamlit/Flask)
Strong foundation in Mathematics & Statistics for ML/AI
Passion for teaching, collaboration, and social impact projects (e.g., Omdena AI Challenges)
Dedicated to continuous learning in Generative AI, LLMs, and Full Stack Development
When I’m not coding, I enjoy exploring new AI tools, reading about technology trends, and mentoring peers in Python & AI basics.
I believe technology should create inclusive solutions that improve lives, and I’m excited to contribute my skills to projects that make a real-world impact.
Skills & Tools: Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Transformers, Streamlit, Flask, Power BI, SQL, Data Visualization, Computer Vision, NLP.
Work Terms
Hours of Operation: Available 20–30 hrs/week (flexible across IST & international time zones).
Payment Terms: Prefer milestone-based or hourly payments through the platform for transparency.
Communication: Open to regular updates via chat, email, or video calls. Clear documentation & progress reports provided.
Collaboration Style: Detail-oriented, responsive, and focused on delivering clean, well-documented code. Open to feedback and continuous improvement.
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