Manisha Singh Email & Phone Number

Toronto, ON, CA

Gta

• Integrating LLM capabilities in SOTI productsLed the development of an advanced self-service tool for a Mobile Device Management platform, leveraging both proprietaryand open-source LLMs. Designed a comprehensive.
• Utilized Large Language Models (LLM) to identify and address urgent technical support cases.
• Leveraged GPT to identify and prioritize urgent technical support cases based on sentiment analysis and contextualunderstanding, improving response times by 25% and boosting customer satisfaction scores.
• Developed LLM-powered systems for case summarization and QA automation reducing manual effort by 40%, boostingagent productivity and consistent customer experience and ensuring consistent customer experience across.
• Enabled estimated monthly cost savings of $55,000 through reduced resolution times.
• Integrated Salesforce, and JIRA with ChatGPT utilizing software engineering best practices, API development togenerate insights from unstructured data, eliminating the need for extensive manual reporting and enhancing.

Greater Toronto Area, Canada

• Cost-Saving Forecasting SolutionDeveloped and deployed machine learning models for add-on recommendations and renewal predictions, leveraging cloudserver activity and customer interactions. Implemented a robust MLOps.
• Server Performance & Utilization EnhancementProactively identified and resolved CPU, RAM, and storage bottlenecks on client servers using 90-day performance data,optimizing resource utilization and enabling.

Greater Toronto Area, Canada

->Developed, designed, and deployed a machine learning solution to forecast add-ons and renewal of device licenses based on cloud server activity and customer interactions. The company’s add-ons profit increased by $1 million.->Worked on feature engineering of various features describing time series characteristics, feature selection using classical.

Toronto, Ontario, Canada

Device Management Solution->Worked on finding the quantitative relationship between discharge rate and its KPIs, using statistical modeling and machine learning techniques->Utilized various machine learning methodologies for data smoothing and time series forecasting to formulate discharge rate per application->Implemented time series forecasting.

Toronto, Canada Area

CSC343 - Introduction to Databases (Fall 2019 and Winter 2020)

Gurgaon, India

->Worked in Business Intelligence domain from ETL to Data Warehousing Architecture and Design and Analytics development->Extensively worked on Data Science Studio with a deep understanding of data modeling->Performing a series of quality inspections, alterations and suggested enhancements based on different User Acceptance Testing cycles->Preparing Test.

Gurgaon, India

Collaborated with BI leadership of a US-based healthcare firm to deliver analysis-ready data repositories, integrating multi-vendor sales and digital marketing data, implementing various algorithms for data standardization. This reduced the analysis time from hours to minutes and also enabled data democratization

Dehra Dun Area, India

Explored advanced android concepts and developed an application for the employees of India’s leading PSU, that allows anyone to search for available bus transport options within the city, along with their route and timings

Mscac, Computer Science

Courses taken: 1. Machine Learning 2. Machine Learning for Health 3. Topics in Multidisciplinary HCI: Designing Intelligent Self-Improving.

Bachelor Of Engineering - Be, Computer Science, 9.27

Activities and Societies: • Event Head at Goonj’17: Head of Byte the Hints Coding competition at techno-cultural fest. • Team Leader of.