🎓 BA (English Honours) Student bridging the analytical skills of literature with the technical depth of data science. Now pursuing a Credit-Linked AI & ML Specialization from IIT Guwahati.
💡 My Focus: I am an aspiring Data Scientist driven by a desire to understand the backend math of ML—from Statistics to Optimization. My goal is to build solutions that simplify life by working at the intersection of language and data.
| Category | Key Skills & Libraries | Mathematical Foundations |
|---|---|---|
| Programming | Python, SQL, Git/GitHub, Jupyter Notebooks | |
| Data Analysis | Pandas, NumPy, Matplotlib, Seaborn, EDA (Exploratory Data Analysis) | |
| Machine Learning | Supervised Learning, Regression, Model Evaluation, NLTK (Text Classification) | Statistics & Probability (Hypothesis Testing, Distributions) |
| Specialized | OpenCV, Librosa (Audio/Media Processing) | Linear Algebra (Vectors, Matrices, Eigenvalues), Optimization (Gradient Descent) |
I focus on applying learning immediately through project work.
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📌 EmotionLens (Python/NLP): Sentiment & emotion analysis project using text classification (VADER, HuggingFace) and data visualization.
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📌 EmotionLens: ML Optimized Classifier (v2)
- Full-Stack NLP: Upgraded pipeline combining deep analysis (HuggingFace) with a dedicated ML classifier.
- Technical Result: Implemented TF-IDF Vectorization and Logistic Regression to achieve 84.22% accuracy in sentiment classification, moving past rule-based systems.
- Correlate my English domain knowledge with AI/ML and Data Science to tackle unique problems.
- Deepen my understanding of the mathematical core of advanced ML models.
- Build comprehensive NLP projects around text analysis and language understanding.
- 💼 LinkedIn: in/krish-19425a272
- ⭐ "Learning is best when applied — I build projects to bridge my passion for language and AI/ML."