Vaibhav Paranjape

Data Scientist

Mumbai, Maharashtra, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in predictive modeling and demand forecasting.
Proficient in generative AI and web scraping techniques.
Strong background in data visualization and machine learning workflows.

Stackforce AI infers this person is a Data Scientist specializing in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

Data ScienceMachine LearningNatural Language Processing (nlp)Statistical Data AnalysisMlopsData VisualizationOptical Character Recognition (ocr)

Other Skills

Python ProgrammingMicrosoft Power BIRetrieval-Augmented Generation (RAG)Unsupervised LearningArtificial Intelligence (AI)Demand ForecastingDeep LearningMicrosoft ExcelStatisticsTensorFlowCommunicationCritical ThinkingProblem SolvingExploratory Data Analysis

About

Passionate data scientist with expertise in predictive modeling, demand forecasting, generative AI, and web scraping. I focus on projects that involve retrieval-augmented generation systems, natural language processing. I am skilled in data analysis, embedding-based systems, data visualization, and machine learning workflows, and I enjoy using data-driven solutions to solve real-world problems. At Pentation Analytics, I use cutting-edge machine learning approaches to provide effective solutions. Always willing to engage and learn about the latest developments in data science. Let's connect!

Experience

1 yr 9 mos

Total Experience

1 yr 7 mos

Average Tenure

2 mos

Current Experience

Swiggy

Data Scientist - I

Feb 2026 – Present · 2 mos · Bengaluru, Karnataka, India · Hybrid

Data ScienceMachine LearningPython Programming

Pentation analytics

2 roles

Junior Data Scientist

Jul 2024 – Feb 2026 · 1 yr 7 mos · On-site

Leveraged advanced LLM models like Llama4 and GPT-OSS to enhance NLP solutions
Deployed LLaMA 3.3 using the Ollama framework, streamlining document processing.
Collaborated with cross-functional teams to ensure seamless deployment of data-driven solutions.
Developed and monitored SOTA demand forecasting systems

Statistical Data AnalysisMLOpsNatural Language Processing (NLP)

Data Science Intern

Jan 2024 – Jul 2024 · 6 mos · On-site

Developed an automated in-house solution using advanced OCR techniques, eliminating costs and optimizing processes.
Employed unsupervised clustering algorithms like K-means and DBSCAN to segment insurance agents based on performance metrics.
Utilized supervised machine learning algorithms for predictive analysis, enhancing client decision-making capabilities.
Created interactive dashboards in PowerBI and Tableau, improving data visualization for stakeholders.

Statistical Data AnalysisMicrosoft Power BIData Visualization