Ritu Lalwani
Senior Data Scientist | Gen-AI Specialist
Pune,Maharashtra
Summary
Experienced Data and Analytics Managing Consultant with a robust background spanning 6.8 years, focusing on developing and deploying advanced AI solutions on the Microsoft Azure platform. Specializes in a wide array of machine learning techniques, including supervised and unsupervised learning, ensemble methods, NLP, and computer vision. Skilled in integrating OpenAI models such as ChatGPT to enhance business and IT capabilities. Demonstrated expertise in prototyping, POC development, and deploying innovative Gen AI solutions, continually staying abreast of cutting-edge AI advancements.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Data Scientist |||
Hewlett Packard Enterprise
06.2023 - 03.2024
- Objective: Leverage Generative AI solutions on Microsoft Azure to improve the efficiency and effectiveness of customer support operations.
- Prototype Development: Create rapid prototypes and PoCs with Azure OpenAI services, incorporating LLMs, NLP, DL, ML, and object detection/classification capabilities.
- Model Fine-Tuning: Optimize Azure OpenAI models (DaVinci, Curie, Babbage, ADA) for customer support use cases to ensure relevant and accurate query responses.
- Integration and Deployment: Seamlessly integrate AI solutions into existing customer support systems, using containerization strategies to enhance scalability and efficiency.
- Testing and Maintenance: Validate AI solutions in real-world scenarios, gather feedback, and continuously monitor and update models to maintain performance and adapt to evolving customer needs.
- Outcomes: Automated responses, increased customer satisfaction, scalable support services, and continuous AI model improvement.
Manager (Data Science)
HSBC Electronic Data Processing
05.2021 - 03.2022
- Objective: Enhance fraud detection accuracy and customer service efficiency at HSBC Bank using advanced AI and machine learning solutions on the Microsoft Azure platform.
- Data Preparation: Conduct data extraction, manipulation, and feature engineering to support accurate machine learning models for fraud detection and customer service applications.
- Model Development: Develop and deploy machine learning models using supervised learning and ensemble techniques for fraud detection, and implement LSTM and NLP techniques for improving customer service interactions.
- Integration and Deployment: Seamlessly integrate AI solutions into HSBC's existing systems, leveraging Microsoft Azure for robust and scalable implementations.
- Continuous Optimization: Regularly tune and optimize models, implement monitoring tools, and update AI solutions to adapt to new fraud patterns and evolving customer needs, ensuring ongoing effectiveness and relevance.
Data Science Associate
TheMathCompany
11.2020 - 02.2021
- Objective: Enhance inventory management and personalized marketing in the FMCG sector using AI and machine learning on Microsoft Azure.
- Recommendation Systems: Develop and deploy AI-driven recommendation systems to personalize marketing strategies based on customer behavior and preferences.
- Optimization Models: Implement predictive and optimization models to efficiently manage inventory levels and forecast sales trends, minimizing overstocking and stockouts.
- Integration and Monitoring: Seamlessly integrate AI solutions into existing systems, leveraging Azure for scalability, and continuously monitor and refine models for improved performance and adaptability.
Senior Unit Manager (Data Science)
Bajaj Finserv
09.2019 - 05.2020
- Objective: Implement OpenAI-powered solutions at Bajaj Finserv to enhance customer engagement and service efficiency through virtual assistants and automated support.
- Solution Highlights: Develop AI-driven virtual assistants for personalized customer interactions, automate routine tasks, and provide tailored financial advice.
- Expected Benefits: Improve customer satisfaction, streamline operations, and strengthen security measures with advanced AI capabilities from OpenAI.
Junior Data Scientist
Cognizant Technologies Solutions
12.2015 - 09.2019
- Objective: Implement advanced predictive maintenance models using supervised and unsupervised learning to optimize operational efficiency and reduce downtime in manufacturing.
- Implementation: Utilize real-time sensor data and historical records to train models, applying both supervised algorithms for labeled data and unsupervised techniques like clustering for anomaly detection.
- Benefits: Enhance equipment reliability, minimize unplanned downtime, and optimize maintenance costs through proactive maintenance scheduling and predictive insights.
Education
BE - Electronics And Telecommunications Engineering
St. Vincent Pallotti College of Engineering
Nagpur09.2015
Technical Diploma - Electronics And Communications Engineering
Shri Datta Meghe Polytechnic
Nagpur, India08.2012
Skills
Machine Learning: Supervised Learning, Unsupervised Learning, Ensemble Techniques, NLP, LSTM
Accomplishments
- Successfully developed and deployed a Generative AI solution on Azure for a financial services client, reducing response time by 30% and increasing customer satisfaction by 25%.
- Led rapid prototyping initiatives using Azure OpenAI services, delivering innovative AI-driven solutions that enhanced team capabilities and contributed to organizational thought leadership in AI.
Languages
English
Advanced (C1)
Hindi
Advanced (C1)
Certification
Advanced Machine Learning and Cloud Computing from IIT Madras in collaboration with upgrad
Interests
Reading auto-biography and sci-fi novels
Swimming and Dancing
Watching Movies
Timeline
Data Scientist |||
Hewlett Packard Enterprise
06.2023 - 03.2024
Advanced Machine Learning and Cloud Computing from IIT Madras in collaboration with upgrad
05-2023
Manager (Data Science)
HSBC Electronic Data Processing
05.2021 - 03.2022
Data Science Associate
TheMathCompany
11.2020 - 02.2021
Senior Unit Manager (Data Science)
Bajaj Finserv
09.2019 - 05.2020
Junior Data Scientist
Cognizant Technologies Solutions
12.2015 - 09.2019
BE - Electronics And Telecommunications Engineering
St. Vincent Pallotti College of Engineering
Technical Diploma - Electronics And Communications Engineering
Shri Datta Meghe Polytechnic
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