Yash Shetty

Data Scientist

Mumbai, Maharashtra, India3 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable AI solutions.
Proficient in end-to-end data pipeline development.
Strong background in machine learning and API integration.

Stackforce AI infers this person is a Data Scientist specializing in SaaS solutions with a focus on AI and machine learning.

Contact

yashshetty0806@gmail.com LinkedIn

Skills

Core Skills

Machine LearningApiNlpIntegrationBackend DevelopmentDeep Learning

Other Skills

AirflowAmazon Web Services (AWS)Apache SparkArtificial Intelligence (AI)Business DevelopmentChatbot DevelopmentComputer ScienceData AnalysisData PipelineEnglishEvent-Driven ArchitectureExtract, Transform, Load (ETL)GraphQLHadoopJava

About

I’m a results-driven Data Scientist with a strong focus on building and deploying real-world data and AI solutions tailored to client needs. I specialize in end-to-end development—from understanding business requirements and building robust data pipelines to deploying scalable machine learning models and integrating them into applications via APIs. My work bridges the gap between data science and software engineering, enabling clients to unlock actionable insights and intelligent automation at scale. With a background spanning diverse industries and use cases, I bring a practical, hands-on approach to solving complex problems with elegant, data-driven solutions. 🔧 What I Do: - Translate client requirements into actionable data strategies - Perform exploratory data analysis to uncover insights - Clean and wrangle data for high-quality input to models - Build and deploy APIs to operationalize AI/ML systems - Develop predictive and deep learning models, especially in computer vision and NLP (LLMs) - Integrate models into client-facing tools and dashboards - Collaborate cross-functionally to deliver complete, scalable solutions ⚙️ Technical Toolbox: Programming Languages: Python, SQL, NoSQL, JavaScript, TypeScript Frameworks & Libraries: Scikit-learn, TensorFlow, PyTorch, Pandas, LangChain, LlamaIndex ML Ops & Backend: RESTful APIs, Flask, Docker, GCP, Azure Databases: PostgreSQL, MySQL, ChromaDB Tools: Git, VS Code, PyCharm, Jupyter, Jira Soft Skills: Client communication, Agile collaboration, Problem-solving

Experience

Dsw | data science wizards

Data Scientist

Feb 2024 – Present · 2 yrs 1 mo · Maharashtra, India · On-site

Email Automation Bot: Built and Deployed an LLM-based classification model that generates service tickets
Developed a classification model based on LLM which identifies the type of email, process the email and accordingly opens the respective ticket.
Every day the bot processes around 2000 – 3000 email which helped to reduce the processing time and human intervention.
Design and implemented algorithms as per the client’s business requirement.
Developed a Management Information System (MIS) to generate automated comprehensive reports every 60 mins for the business team.
Ensure seamless integration with the client's existing infrastructure.
Sales Agent: Designed a RAG-based chatbot
Developed a chat bot (like ChatGPT) based on retrieval augmented generation framework for a client in the insurance sector.
The customer queries regarding product details and information; wherein the agent recommends, provides detail of the product and the existing customer.
Multiple documents were integrated to develop the knowledge base for the client to have accurate and current knowledge in the response.
Service Deployment: Build and Deployed API
Collaborated with development teams to design and implement a RESTful API.
Integrated the API with existing client systems, enabling seamless communication between applications.
Monitored and maintained the API, providing updates and troubleshooting issues to ensure minimal downtime.
Deployed the entire system as a service.
Monitored post-deployment performance and ensured smooth functioning with zero disruptions to the clients.

LLMAPIMachine LearningData AnalysisData Pipeline

Energenious

Back End Web Developer

Jul 2022 – Apr 2023 · 9 mos · Berlin, Germany · Remote

Energenious is a software solution provider for decentralized energy supply.
Conceptualization and implementation-related activities around one of the company's flagship products, known as E-Cloud Warehouse.
Collaborating with the team in developing stateless micro-services.
Designing and implementing the architecture, event diagram, and sequential diagram for the microservices.
Validation and documentation of APIs using react-JSON schema and ajv.
Working with different weather providers and to integrate them.
Development of a design to predict energy consumption of an household with deep learning model like multi layer perceptron.

MicroservicesAPIDeep LearningEvent-Driven ArchitectureBackend Development