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Vaibhav Saxena

@vaibhavsaxena1

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Aspiring Data Scientist turning data into machine learning solutions and actionable analytics.

India

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What I'm looking for

I’m looking for a role where I can build and deploy machine learning solutions, pair analytics with ML/RAG, and turn data into actionable business decisions—using strong engineering practices and clear product impact.

I’m an aspiring Data Scientist with experience in data analysis, machine learning, and predictive modeling, backed by a Post Graduate Certification in Data Science & Analytics and a B.Tech in Mechanical Engineering. I focus on deriving actionable insights from data and solving business problems through analytics.

I built and deployed real-time AI solutions, including a real-time sign language recognition system achieving 95% accuracy using CONVLSTM, plus a voice AI application with retrieval-augmented generation (RAG). In my current AI Research Analyst role, I’ve supported 800+ weekly conversations and improved workflows with streaming pipelines, speech-to-text, LLM processing, and text-to-speech—reducing manual user inputs by ~70%.

I also delivered business impact through analytics and modeling: I conducted end-to-end churn analysis on 10K records, identified key churn drivers, and trained a Random Forest model with 50% recall. Across my work, I combine EDA, feature engineering, and model development with tools like Python, SQL, Tableau, and scalable deployment practices.

Experience

Work history, roles, and key accomplishments

Current

AI Research Analyst

Current

Biz4Group LLC

Feb 2026 - Present (5 months)

Built a real-time voice AI application using Retrieval-Augmented Generation (RAG), WebSocket-based streaming pipelines, and integrated speech-to-text/LLM/text-to-speech. Developed a Milvus-based RAG pipeline with vector database management and improved deployment/inference workflows using Docker and MinIO.

Generative AI Milvus Vector Databases WebSockets Speech to Text Text To Speech Docker Minio RAG

Data Scientist Intern

BCG – Data Science Virtual Internship

Jul 2025 - Aug 2025 (1 month)

Conducted end-to-end customer churn analysis on 10K records, identifying key churn drivers and recommending data-backed retention strategies. Built and evaluated a Random Forest churn model and created Tableau dashboards to track metrics and support decision-making.

Python SQL Pandas NumPy Data Cleaning data transformation Feature Engineering Random Forest Model Evaluation Data Visualization Tableau Churn Modeling Predictive Analytics

Trainee

Ford Motors

Jun 2019 - Jul 2019 (1 month)

Maintained and validated daily service records while streamlining workshop data logging and operational reporting. Analyzed recurring issues across vehicles and compiled reports to improve maintenance planning and decision-making.

Logging Data Validation Operational Reporting Maintenance Planning Data Analysis

Education

Degrees, certifications, and relevant coursework

Imarticus Learning

Post Graduate Certification, Data Science & Analytics

Post Graduate Certification in Data Science & Analytics covering data analysis, machine learning, predictive modeling, and deriving actionable insights from data.