Boundary Smoothing for NER
→
Summary
Developed an innovative boundary smoothing technique to enhance Named Entity Recognition (NER) model performance.
About
Highly analytical and results-driven Data Scientist with a strong foundation in Machine Learning, Deep Learning, and Artificial Intelligence. Proven ability to develop and deploy advanced models for recommendation systems, natural language processing, computer vision, and drug discovery. Adept at leveraging quantitative analysis and feature engineering to drive significant improvements in business metrics, including sales, engagement, and operational efficiency. Seeking to apply expertise in data-driven innovation to complex challenges.
Work
Cargill
|Advanced Data Analytics Intern
→
Summary
Contributed to data-driven solutions for agribusiness, focusing on enhancing sales and operational efficiency through advanced analytical models.
Highlights
Engineered a recommendation model for farmers, ranking the top 15 farmers per sales representative using five years of data, resulting in a 12% increase in sales.
Enhanced an XGBRanker-based model through 30+ iterations, significantly improving ranking accuracy (MAP: 27%, NDCG: 30%) and increasing lead conversions by 15%.
Integrated Click-Through-Rate models (DeepFM, xDeepFM, DIN) with A/B testing, achieving a 52% NDCG score and boosting CTR by 18%.
Optimized model performance through sophisticated feature engineering techniques, reducing inference time by 25% and enhancing predictive accuracy.
AulaCube
|Data Scientist Intern
→
Summary
Developed and deployed AI-driven solutions to revolutionize school management, focusing on automation, engagement, and operational efficiency.
Highlights
Spearheaded the development of AI-driven prototypes, including a Facial Recognition System, NLP-based chatbot, and a behavioral analytics tool, reducing manual administrative work by 30%.
Architected and deployed AulaGenie, a learning chatbot that processed over 500 queries daily, leading to a 25% increase in user engagement.
Optimized AulaVoz, a speech model leveraging OpenAI Whisper and Wav2Vec 2.0, improving accuracy by 28% and decreasing feedback time by 40%.
Education
Indian Institute of Technology Bombay
→
B.Tech. (Major in Materials Science, Minor in Computer Science)
Materials Science & Computer Science
Courses
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Data Structures and Algorithms
Probability and Statistics
Awards
Letter of Recommendations
Awarded By
Cargill & AulaCube
Received letters of recommendation from both internship experiences (Cargill and AulaCube) in recognition of exemplary performance and significant contributions.
JEE Advanced 2021
Awarded By
Joint Entrance Examination (JEE) Board
Achieved a top 2.50% ranking among over 150,000 eligible candidates in the highly competitive JEE Advanced 2021 examination.
JEE Mains 2021
Awarded By
Joint Entrance Examination (JEE) Board
Scored 99.37 percentile among over 940,000 eligible candidates in the national-level JEE Mains 2021 examination.
Skills
Programming Languages
Python, C++.
Machine Learning Frameworks
PyTorch, TensorFlow, Scikit-Learn, XGBoost.
AI & Machine Learning
Deep Learning, Transformers, Natural Language Processing (NLP), Computer Vision, Recommendation Systems, Generative AI, Neural Networks.
Data Tools & Databases
SQL, OpenCV.
MLOps & Cloud
MLOps, Docker, CI/CD, AWS.
Research & Optimization
Hyperparameter Tuning, Bayesian Optimization, Statistical Modeling, A/B Testing.
Projects
Drug Discovery Using AI
→
Summary
Developed AI-driven models for drug classification and novel molecular structure generation, receiving a perfect 10 score for project performance.
Enhance Low-Resolution Images Using GANs
→
Summary
Constructed a Generative Adversarial Network (GAN)-based super-resolution model to significantly improve image quality from low-resolution inputs.