Shashank Tyagi

AI/ML Trainee and Research Associate at Global Info Ventures

Led the development and deployment of a real-time PPE violation detection system, achieving a 15% reduction in workplace accidents related to PPE non-compliance. Developed and deployed a real-time multi-person face detection algorithm with 95% accuracy for improved attendance tracking, enabling efficient and accurate employee check-in. Analyzed multi-sourced datasets to create lead scoring models, increasing the conversion rate of qualified leads by 15% and driving a 30% lift in content engagement for a new series. Developed lead scoring models and benchmarks that enhanced the marketing-qualified leads conversion rate by 15%, helping the sales team prioritize outreach to the most promising prospects.

Data Analyst Intern at KLYRR

Analyzed multi-source datasets to create lead scoring models, improving qualification and prioritization of prospects. Applied data analytics techniques to support marketing and sales efforts, contributing to overall business growth.

Data Scientist at CREATOR OS (United Kingdom)

Engineered a scalable, GCP-hosted data ingestion pipeline using Python to extract and process creator insights from Instagram Graph API and TikTok API, enhancing data accessibility and supporting real-time analytics across marketing platforms. Developed and deployed a predictive ML model via FastAPI to forecast creator rate cards using performance and engagement metrics, automating pricing decisions and reducing manual analysis time by 70%. Delivered campaign ROI forecasting system using regression models to predict engagement outcomes, optimizing marketing spend efficiency by 25%.

Data Analyst Lead (Part-time) at KLYRR

Led the enhancement of lead conversion processes by designing and deploying supervised machine learning models (Random Forest, Logistic Regression) for lead scoring, resulting in a 15% increase in conversion rates. Automated end-to-end data pipelines to deliver timely and accurate portfolio management reports, significantly reducing manual effort and turnaround time.

AI/ML Trainee and Research Associate at GLOBAL INFOVENTURES

Developed and deployed a real-time PPE (Personal Protective Equipment) violation detection system using computer vision and edge AI (OpenCV, TensorFlow) to identify safety non-compliance on industrial sites. Automated attendance and workforce monitoring through multi-person face detection and recognition models, achieving 95% accuracy across challenging lighting conditions and improving operational efficiency by 30%.

Data Scientist at CREATOR OS

Engineered a scalable, GCP-hosted data ingestion pipeline using Python to extract and process creator insights from Instagram Graph API and TikTok API, enhancing data accessibility and supporting real-time analytics across marketing platforms. Developed and deployed a predictive ML model via FastAPI to forecast creator rate cards using performance and engagement metrics, automating pricing decisions and reducing manual analysis time by 70%. Delivered campaign ROI forecasting system using regression models to predict engagement outcomes, optimizing marketing spend efficiency by 25%.

Data Analyst Lead (Part-time) at KLYRR

Led the enhancement of lead conversion processes by designing and deploying supervised machine learning models (Random Forest, Logistic Regression) for lead scoring, resulting in a 15% increase in conversion rates. Automated end-to-end data pipelines to deliver timely and accurate portfolio management reports, significantly reducing manual effort and turnaround time.