Shanthi K Email & Phone Number

Seattle, Washington, United States

Leading the development of a chatbot for wealth customers using ChatGPT capabilities, LangChain, and FastAPI to suggest personalized investment recommendations.Designing the Resource Cross Utilization Application to better use resources using the DeepAR multiple time series model and PyTorch/MXNet libraries in AWS SageMaker.Developed and fine-tuned prompts for various natural language processing (NLP) tasks, leveraging expertise in large language models such as GPT-3 and GPT-4.Handling code analysis, review, and debugging in R, Python, SQL, MongoDB, and Tableau, ensuring 100% accuracy and code coverage.Developing machine learning prototypes end-to-end and scaling them for production, achieving a 23% increase in efficiency.Designed and implemented effective prompts for chatbots, virtual assistants, and automated content generation systems.Collaborated closely with data scientists and software engineers to enhance the performance and accuracy of NLP applications.Working with Spark MLlib using both Python and Scala.Creating Time Series Forecasting models with FBprophet and LSTM to predict users' productive time and developing a Recommendation Engine based on team skill sets.Utilized Kubernetes and Airflow for orchestrating complex data processing workflows, enhancing operational efficiency.Developed and maintained data pipelines using Python for ETL tasks, incorporating technologies like Spark and Kafka.Implemented query APIs for internal services using JSON and Protocol Buffers, facilitating seamless data integration.Wrote and maintained Unix-based command-line tools and Bash scripts to automate data processing

United States

Analyzed donor characteristics using Python (scikit-learn) to cluster participants based on donation patterns.Built a predictive random-forest classification model to identify Top Walkers by analyzing their tapestry level.Identified trends from clusters to predict the likelihood of new participants being classified as Top Walkers.Analyzed top markets for AHA by county to determine market potential and focus areas for revenue channels.Worked on Predictive Modeling and developed a Recommendation System based on design flow data.Developed and deployed a complete Machine Learning pipeline as an application.Conducted Feature Engineering and gathered raw data for Machine Learning model development.Created a Retrieval-based Question and Answer Chatbot to improve user interaction and address tool flow blockages.Implemented a Security Framework with Kerberos, Ranger, and Atlas for Data Pipeline Automation using DevOps tools.Automated data pipeline processes using Python scripts for efficient data handling and workflow management.Integrated ETL processes with Spark and Kafka to support large-scale data analysis and processing.Developed Bash scripts to automate routine data management tasks, improving productivity and accuracy.

Hyderabad, Telangana, India

Gathered retail sales data, ensured data quality, and built predictive models using R Studio to identify key revenue drivers.Collaborated with sales and marketing teams to analyze promotional activities.Developed pricing models for different products based on location, seasonality, and customer sensitivity.Identified trends using Tableau-based dashboards and provided strategic management recommendations.Used market basket analysis to uncover correlations between products and identify purchasing patterns.Managed the project lifecycle from requirement gathering to application development.Worked in the Anaconda Python environment for programming and data analysis tasks.Developed Python routines for web data extraction, employing modules like urllib, urllib2, and Requests.Applied various machine learning techniques such as clustering, regression, and classification for diverse business problems.

Hyderabad, Telangana, India

Involved in the analysis, design, and development of database applications using SQL and PL/SQL.● Developed and optimized complex SQL queries and stored procedures for data retrieval and manipulation.● Created and maintained data integration workflows using SSIS for seamless data transfer between systems.● Conducted unit testing and integration testing to ensure the quality and reliability of data solutions.● Created and optimized database schemas, tables, views, indexes, and stored procedures to supportapplication requirements.● Developed and maintained complex SQL queries and stored procedures to support applicationrequirements and data analysis.● Conducted data analysis to identify patterns, trends, and insights, supporting business strategies anddecision-making.● Built custom dashboards and reports to monitor key performance indicators and track business metrics.● Provided technical support and troubleshooting for BI and SQL-related issues, ensuring minimal downtimeand optimal performance.● Implemented data security measures to protect sensitive information and ensure compliance with dataprivacy regulations.● Utilized Google Cloud Platform (GCP) services within an Agile environment, leveraging tools like JIRA issuenavigator and Crucible Code Reviews for seamless integration and efficient project management.● Developed and maintained data integration workflows using SSIS and other ETL tools to ensure seamlessdata transfer, data integrity, and efficient data processing.● Assisted in database performance tuning and optimization to enhance query performance and minimizeexecution time.● Supported the maintenance and enhancement of existing BI solutions and data infrastructure.

Master Of Science - Ms, Data Science

Bachelor Of Engineering - Be, Computer Science