Aditya Prabhudessai
Bridging the gap between
Data Science and Interactive Web Experiences.
About
A final-year B.Tech student at Manipal University Jaipur, interested in solving real problems through Data Analytics, Machine Learning, and Full-Stack Development.
I value clarity, thoughtful design, and solutions that scale beyond demos.
Technical Skills
Python
TypeScript
JavaScript
C++
Java
PyTorch
Scikit-learn
LangChain
NLP
Pandas
NumPy
Seaborn
Matplotlib
Power BI
Tableau
MySQL
MongoDB
React
Next.js
Tailwind
Node.js
FastAPI
AWS
GCP
Git
GitHub Actions
Experience
- Built and evaluated forecasting models on 1M+ time-series records, improving prediction accuracy by 15%.
- Performed data preprocessing, anomaly detection, and missing-value handling using resampling techniques.
- Engineered time-based and statistical features to enhance model stability.
- Optimized ML pipelines to reduce training and experimentation time by 20%.
- Developed end-to-end ML pipelines with cross-validation, improving robustness by 12%.
- Assisted in building LLM monitoring dashboards to track drift, latency, and quality.
- Conducted error analysis and documented findings to support model deployment.
- Automated ETL workflows and BI dashboards, reducing manual reporting effort by 40%.
- Analyzed datasets with 500k+ rows to identify data quality gaps.
- Created structured reports to communicate insights to non-technical stakeholders.
Featured Projects
Domain-specific AI assistant using LangChain & ChromaDB. Features retrieval-based NLP, semantic search, and confidence-based fallback logic.
End-to-end Random Forest regression pipeline. Handled missing values, engineered location features, and deployed as an interactive web app.
Analyzes YouTube comments to determine sentiment and user personas using BERT. visualizing public opinion trends effectively.
LSTM-based text classification model with SHAP and LIME for explainability. Analyzed misclassified samples to reduce model bias.