SURAJ SHARMA

Utilized advanced analytical techniques to analyze vast volumes of data, effectively identifying emerging trends and establishing relevant metrics for assessing changing risk factors. Developed a transformer-based Named Entity Recognition (NER) model with an accuracy rate of 70-75%. Implemented risk scoring methodologies for entities, enabling efficient identification of new suspicious targets. Conducted in-depth analysis of customer behavior across different regions, effectively segmenting them into distinct clusters. Generated comprehensive reports based on meticulous data analysis, presenting key insights and findings to stakeholders. Conducted ad-hoc analysis, catering to the specific requirements and needs of stakeholders.

Developed and implemented an OCR application for medical user enrollment, achieving processing times of less than 12 seconds. Conducted comprehensive social media sentiment analysis for a brand, employing qualitative analysis and machine learning algorithms. Developed an end-to-end tele-medicine intelligence solution utilizing AWS services to analyze audio data and extract valuable insights. Utilized data analytics and machine learning techniques for FMCG revenue analytics, establishing a robust machine learning pipeline capable of predicting price elasticity.

Analyzed data to understand customer behaviour and trends for various clients. Recommended modification in websites through A/B testing to increase traffic. Generated visual reports, articulating complex findings effectively. Revamped User Journeys enhancing focus on website sales across key products.