I am a seasoned expert and leader in the field of data science, machine learning, and deep learning, with a strong focus on Generative AI models. With over a decade of experience, I have developed and implemented complex machine learning and deep learning models that drive data-based decision-making for businesses.
Currently, I am actively working at Applied Materials, where I have been at the forefront of building cutting-edge solutions in the areas of Generative AI and Deep Learning. Through the utilization of state-of-the-art deep learning models, I have successfully led projects resulting in significant cost savings in the millions of dollars. Additionally, I have spearheaded the implementation of Generative AI and LLM models across multiple applications in production, as well as led over 20 proof-of-concept initiatives in various domains.
Prior to my work at Applied Materials, I spent 2.6+ years at WNS Global Services, where I honed my expertise in building supervised and unsupervised models using statistical algorithms such as Linear Regression, Logistic Regression, Decision Tree, Random Forest, XGBoost, and SVM. These models were applied across diverse industries including Retail, CPG, Manufacturing, Marketing, Energy & Utilities, Tradeshow, and Insurance. I also have extensive experience in leading teams, defining key performance indicators (KPIs), and developing executive dashboards using tools like Highcharts, PowerBI, and Tableau.
In addition to my technical proficiency, I excel in stakeholder management, having led client interactions from requirement gathering to post-deployment maintenance. My MBA Degree in Business Analytics from NIIT University has further sharpened my analytical skills and deepened my understanding of business acumen.
My data journey began as a Data Analyst at Accenture Solution Pvt Ltd, where I specialized in building automated data pipelines, performing data transformations, and generating reports using SQL, PL/SQL, and stored procedures. Furthermore, as a deep learning engineer, I have successfully trained computer vision networks such as Yolov3, Mask RCNN, MidasNet, and PlanerCNN.