Salem Shaikh

About Salem Shaikh

Data Scientist with 14+ years of experience in AI, ML, GenAI, Computer Vision, and Statistics. I have worked on numerous industry projects, deploying ML models to solve complex business problems across Healthcare, Manufacturing, Logistics, Analytics, and more. My expertise lies in designing and implementing AI-driven solutions while following agile methodologies to ensure efficiency and scalability.Notable ProjectsPharmaceutical API Manufacturing Optimization – Leveraged machine learning algorithms to optimize the manufacturing process, improving yield and directly contributing to business growth.GenAI Bot for Cybersecurity – Developed a GenAI-powered bot to detect phishing attempts and malicious software, enhancing security and governance for a global enterprise.GenAI for Next-Gen Sequencing Research – Built a GenAI bot to query RDF databases for scientists working on Next-Gen Sequencing. Used prompt engineering and LoRA fine-tuning, achieving 75% accuracy in retrieving relevant information.AI-Powered Fraud Detection in Roulette Games – Designed a GenAI-based anomaly detection algorithm to identify cheating patterns in casino games, improving fraud detection mechanisms.GenAI SQL Accelerator – Developed a GenAI-powered SQL accelerator for RDBMS databases, which seamlessly integrates into existing applications to enhance query performance.Tennis Audience Analytics for Targeted Advertising – Used machine learning and behavioral analytics to segment audiences in tennis, helping advertisers target the right demographics.Agentic AI for Document Processing – Built an Agentic AI system to parse, categorize, and extract key insights from legal, financial, and medical documents, streamlining document management workflows.Computer Vision for Manufacturing Defect Detection – Developed a deep learning-based CV model to detect defects in production lines, reducing manual inspection time and improving quality control.Personalized Fashion Recommendation System – Built a computer vision-powered AI model that analyzes user preferences and real-time trends to provide personalized fashion recommendations for an e-commerce platform.I am a natural problem solver with a strong focus on building responsible AI to improve business processes, drive innovation, and deliver scalable AI solutions.

Experience

1. Data Science Project Lead

   Persistent Systems

   Oct 2023 — Present · Mumbai, IN

   Collaborating with clients to understand their business needs and challenges, and identifying opportunities for AI and machine learning solutions.Developing strategies and roadmaps tailored to clients\' objectives, including recommending the most suitable technologies and platforms.Designing and implementing custom solutions, including natural language processing, computer vision, predictive analytics, and recommendation systems.Leading project teams, including data scientists and engineers, to deliver high-quality solutions on time and within budget.Conducting thorough testing and validation of models, and iterating on solutions to improve accuracy and performance.Staying current with AI trends, emerging technologies, and best practices, and sharing knowledge with clients and colleagues.Offering training and workshops to educate clients and teams on concepts and tools.Measuring and reporting on the impact of AI solutions, including ROI and business value

Education

• Amity University Noida

  Data Science

• Cornell University

  Data Analytics

  2019

• Cornell University

  data analytics 360, Analytics

  2019 — 2019