About
Computer Science and Engineering student at IIIT Vadodara with hands-on experience building AI, NLP, recommendation, and fraud detection projects. Strong foundation in Python, machine learning, deep learning, and data analytics.
Education
-
B.Tech in Computer Science and EngineeringIIIT Vadodara – International Campus DiuComputer Science and Engineering · Jul 2023 – May 2027
Skills
- SQL
- C
- Data Visualization
- Git
- GitHub
- Google Colab
- Python
- Jupyter Notebook
- Decision Trees
- Matplotlib
- NumPy
- Pandas
- Streamlit
- scikit-learn
- Hypothesis Testing
- PyTorch
- TensorFlow
- Seaborn
- Logistic Regression
- Plotly
- Descriptive Statistics
- Random Forest
- Statistical Analysis
- Probability
- XGBoost
- Semantic Search
- C++
- Eda
- Sentence Transformers
- Svm
- Knn
- Hdbscan
- Umap
- Networkx
- Topic Modeling
- K-Means
- Finbert
- Bertopic
- Pyvis
Projects
-
XGBoost, SHAP
Fraud detection model with feature engineering, imbalance handling, threshold optimization, and interpretability analysis.
-
Streamlit
Session-based recommender system built on 80K+ sessions and 1M+ interactions with model compression and low-latency recommendations.
-
Pandas, NumPy, K-Means, Random Forest
Analyzed 211K+ cryptocurrency trades with Bitcoin Fear Greed Index data to study sentiment and trading performance, including clustering and profitability prediction.
-
FinBERT, Sentence Transformers, BERTopic, Plotly, NetworkX, PyVis, Streamlit
AI-powered financial intelligence platform processing 3.2M+ articles across 6,600+ companies and 28 sectors, with entity extraction, topic modeling, knowledge graphs, semantic search, and an interactive analytics dashboard.
Courses & certifications
- IBM Data Science Professional Certificate ↗ · IBM · 2025
🗣️ Languages
-
English · Fluent
🏆 Achievements & awards
-
LeetCode rating 1700+ · 2026
Solved 300+ problems and ranked among the top 10.3% globally.