I'm a Master's student in Computer Engineering at NYU, graduating in May 2025. I'm passionate about leveraging data science and machine learning to solve real-world problems, particularly in areas like data privacy and high-performance computing. I'm actively seeking opportunities to apply my skills and contribute to innovative projects.
- Data Scientist at Infosys: Reduced delivery costs by 12% by engineering a Python and Xpress-based module. Developed React.js dashboards used by 250,000 employees.
- Co-Founder: Led the development of a Paper Trading Gaming Application (Stox Dekho) and an educational initiative (Intern Bano), demonstrating entrepreneurial skills and a commitment to mentoring.
- Data Scientist Intern at IQVIA: Improved data quality and increased adverse event identification efficiency through data cleaning and SQL-based data management.
- Languages: Python, SQL, JavaScript, Kotlin, C, C++, TypeScript, R, Q (KDB+), Matlab
- Data Science/ML: Sklearn, Pandas, Numpy, TensorFlow, PyTorch, Big Data
- Cloud: AWS, Firebase, GCP (Google Cloud Platform), Hadoop
- Web Development: Django, Express.js, React.js, Node.js
- Databases: KDB+
- Other: Git
- Search Engine (Big Data): Developed a search engine using the MS Marco Dataset (23GB) with BM25 ranking, optimized with Hadoop MapReduce for a 40x speed increase.
- Sleep Apnea Detection App (Columbia Hackathon): Built a cross-platform app using React Native and Apple Health Kit, achieving 90% detection accuracy with a Random Forest Algorithm.
- High-Frequency Trading (HFT) System: Implemented a real-time HFT system using KDB+ and Python, reducing latency by 40% and handling 500+ data points per second.
- JK Jobs Update (Android App): Developed and launched a job portal app for Jammu with 1800+ downloads.
- Authored a research paper on Genetic Algorithms with Reinforcement Learning in the Ping-Pong game domain.
- Authored a research paper on developing steering model for self-driving car using Supervised Learning