Anant Sharma Email & Phone Number

As a Data Scientist specializing in Machine Learning (ML), Deep Learning (DL) and Artificial Intelligence (AI), and proficient in multiple aspects of Data Engineering, I leverage advanced analytics to drive impactful business decisions. I hold a Master’s in Data Science from the University of Glasgow. With expertise in developing scalable, data-driven solutions, I help organizations optimize operations, improve compliance, and enhance client engagement.In my current role at Trade Nation, I focus on building ML pipelines and automated data solutions to solve complex compliance and client analytics challenges. I developed an Anti-Money Laundering (AML) risk detection pipeline that uses unsupervised anomaly detection to surface suspicious transactions in real-time, enhancing fraud detection and compliance oversight. Additionally, I implemented a real-time Dash application for transaction monitoring, enabling Payments and Compliance teams to detect and tag high-risk activities effectively. I also designed a streamlined data pipeline integrating website data from AWS S3 into AWS RedShift, enabling deep analytics and supporting business intelligence across the company.Previously, I established Trade Nation's data science function, leading projects that transformed business practices. My client classification model helped segment clients by profitability, driving targeted retention strategies. I developed an ML pipeline for sales conversion prediction by analyzing client and transactional data, which empowered Sales and Retention teams with actionable insights to improve client acquisition. My role also included automating reports, building 50+ custom dashboards across BI tools like Power BI, Grafana, and Metabase, and creating C-Suite management reports with visual insights to guide executive decision-making.I am proficient in a range of programming languages and tools, including Python, SQL, Git, Docker, and cloud platforms like AWS (S3, RedShift, Lambda) and GCP. My technical skills span ML and AI models, from CNN, RNN, LSTM, GRU, Transformers, and Gradient Boosting to advanced predictive modeling, feature engineering, and data wrangling. Skilled in multi-source data ingestion and big data analytics, I design solutions that are both robust and scalable.Driven to enhance the value of data within organizations, I am committed to building high-impact solutions and optimizing business processes. I’m passionate about connecting with other data professionals to advance best practices in data science/analytics and contribute meaningfully in every project.