As a seasoned Data Scientist with over ten years of experience, I have honed my skills through a diverse range of roles and industries. Beginning as an ML/AI domain experience from 2008 with overall 16 Years of experience and 11+ Years of AI/ML domain experience, I have progressed to Lead and Principal, gaining valuable insights into the development and deployment of complex AI models.
Extensive experience in developing and deploying machine learning models and AI applications. Proficient in Natural Language Processing (NLP), Lang chain, and Large Language Models (LLMs). Demonstrated ability in end-to-end machine learning processes, cloud deployment, and AI robustness testing. Strong interpersonal communication skills with a proven record of working effectively in diverse team environments.
Principle Data Scientist at Wipro specializing in Anomaly Detection and RCA, Supply Chain Forecasting, Ad Track, Sales Forecasting, Credit Scoring, NLP RAG Services, demand forecasting, Elasticity and Demography analysis.
My expertise lies in the analysis of high-volume datasets and the design and development of efficient AI models using advanced deep learning LLM (GPT log, GPT-Turbo, GPT3.5), RAG and DOCAI machine learning algorithms.
I have solid experience of group forecasting, LLM bots, elasticity analysis and budget optimization strategies using ML. Utilized Linux scripting for system administration tasks such as server monitoring, process management, and file handling to streamline machine learning infrastructure operations.
Integrated Python with big data tools like Spark and Hadoop to handle large-scale data processing and distributed machine learning model training.
Utilized Python for exploratory data analysis (EDA) and visualization using Matplotlib, Seaborn, and Plotly, providing actionable insights from complex datasets.
My industry experience Logist.ics, Finance, supply chain, consumers, retail and Sales. Throughout my career, I have mentored and guided team members in the implementation and execution of machine learning models at different levels of the project life cycle.