Divyansh Jain

Attended an intensive semiconductor fabrication program at IIT Hyderabad, gaining hands-on experience in photolithography, dry film resists, etching, PVD, and CVD processes.

Explored the role of AI & ML in semiconductor manufacturing, and advanced modeling techniques for optimization.

Selected for an advanced research phase at NTHU, Hsinchu, Taiwan, where I worked with high-precision tools like lithography mask aligners and vacuum chambers.

Engaged with leading professors and industry experts on topics such as high-performance computing (HPC), AI applications in chip design, and quantum computing.

Researched From platforms like Bloomberg to construct financial models tailored to various market scenarios.

Developed a predictive model using Python and scikit-learn to forecast market trends, improving investment strategy accuracy by 15%.

Collaborated with team members to validate model performance using industry-standard tools and metrics, contributing to research for FPGA & HPC semiconductor chips for quantitative finance.

Developed statistical arbitrage strategies (alphas) for long-short, market-neutral portfolios across US, ASI, and GLB stock markets. Alpha models are quantitative models designed to generate excess returns over a market benchmark.

Researched and optimized alphas using diverse datasets, including sentiment, financial, news, price, and volume data, leading to the submission of over 200 models with Sharpe ratios exceeding 3.00 and highest being 5.

Backtested and simulated alpha models to ensure their robustness and consistency in various market conditions.

Strengthened cybersecurity by implementing password protection protocols, reducing security breaches by 25%

Proposed strategic solutions and implemented safeguards, leading to a 20% decrease in system vulnerabilities.

Utilized ML in the Workshastra project, resulting in a 30% improvement in candidate behavior analysis accuracy.

Conducted thorough data cleansing & preprocessing, achieving a 95% data quality assurance rate.