Shashank Reddyhalli Rakesh

Where others see busywork, I see automation. Supporting the administrative operations of Graduate Family Housing, from customer service to data entry, I take the initiative to automate manual, repetitive workflows and build internal tools that save staff time.

Spearheaded end-to-end ML pipelines at enterprise scale: data processing, cleaning, EDA, feature engineering & NLP across 100k+ business records, shipping production predictive & time-series forecasting models delivering an elite 0.98 F1 score. Partnered across teams to interpret and optimize model outputs for data-driven decision-making. (Digitide, formerly Conneqt Digital.)

Owned product strategy, roadmap & workflow architecture for a university-backed AgriTech e-commerce marketplace, built for startups to onboard and sell, targeting real agricultural supply-chain gaps with technology-driven, data-informed design.

Built the data & analytics backbone of WaitKyu, a queue-management platform serving 2,000+ active users, shipping ML-powered insights and rigorously tested features that measurably elevated UX and product decisions.

Designed, shipped and maintained production full-stack web applications end-to-end, owning everything from UI to backend integration.

Developed predictive machine learning models for classification & survival analysis, reaching ~92% accuracy through rigorous feature engineering, exploratory data analysis, and ML pipeline optimization.

Built applied machine learning workflows spanning model training, evaluation, and real-world dataset analysis, with a focus on performance validation and model robustness.

Completed structured cybersecurity training in threat analysis, vulnerability assessment, and core security frameworks applied to real-world environments.

Engineered robust, high-performance backend systems in Python & Java while mentoring junior engineers, driving debugging, feature development, and system-level improvements across live development workflows.