About
Highly analytical and results-driven B.Tech graduate specializing in Data Science and Machine Learning, graduated in May 2025. Proven ability to develop and deploy advanced models for financial analysis, natural language processing, and audio-based emotion recognition, significantly improving system efficiency and prediction accuracy. Eager to leverage expertise in Python, deep learning frameworks, and data engineering to drive impactful solutions in a dynamic tech environment.
Work
Remote, N/A, India
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Summary
Optimized backend systems for financial data retrieval and refined query understanding, significantly enhancing user experience and data accuracy.
Highlights
Developed backend modules in Python using REST APIs to fetch stock data, reducing data retrieval time by 20%.
Achieved an 87% F1-score in intent classification by fine-tuning spaCy with rule-based preprocessing and TF-IDF features.
Built robust pipelines to collect 100K+ financial reports for 15K+ companies, ensuring 98% data accuracy and integrity.
Optimized backend integration to enable 95% real-time query success for live stock prices and financial metrics.
N/A, N/A, India
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Summary
Engineered and optimized pair trading strategies using hybrid models and smart trade execution, boosting prediction accuracy and profit.
Highlights
Engineered BiLSTM, Transformer, N-BEATS, and TCN models for pair trading, boosting prediction accuracy by 25%.
Formulated a hybrid strategy blending mean reversion and forecasts, raising profit-per-trade by 30% (F1: 0.781).
Assessed model performance rigorously using RMSE, MASE, and MAPE, with the Transformer Hybrid Strategy demonstrating superior results.
Education
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B.Tech
Mathematics and Computing
Grade: 7.36/10
Courses
Statistical Methods and Data Analysis
Numerical Methods
Optimization Methods
Design and Analysis of Algorithms
Graph Theory
Soft Computing
Big Data Analytics
Theory of Computation
Computer Vision and Pattern Recognition
Deep Learning
Data Mining
Artificial Intelligence and Machine Learning
Skills
Programming & Tools
Python, C++, SQL, Bash, Git, Docker, AWS, GitHub Actions.
Libraries & Frameworks
Scikit-learn, TensorFlow, Keras, PyTorch, NLTK, SpaCy, Optuna, Beautiful Soup, Requests, Selenium, BiLSTM, Transformer, N-BEATS, TCN, Hugging Face (BERT), SentenceTransformers, LibROSA, SciPy, ONNX, LGBM, XGBoost, Ridge.
Data Handling & Visualization
Pandas, NumPy, Matplotlib, Seaborn, Plotly, pyLDAvis, SQLite, Excel, Statsmodels.
Machine Learning & AI
Deep Learning, Natural Language Processing (NLP), Computer Vision, Artificial Intelligence, Data Mining, Ensemble Modeling, Feature Engineering, Model Evaluation (RMSE, MASE, MAPE, F1-score, R2), Time Series Forecasting, Intent Classification, Emotion Recognition, Code Generation, Probabilistic Information Retrieval, Pair Trading Strategies.