Abhinav Yadav
Custom AI/ML pipelines, automated Excel & VBA sheet tooling, relational SQL/Access databases, Tableau dashboards, and 1-on-1 tutoring. Deliver premium results on time.
I'm Abhinav Yadav, a freelance AI/ML Consultant and Technical Solutions Architect. I help businesses automate complex spreadsheet workflows, develop and deploy custom AI/ML applications, build relational database systems, and create modern web apps. Additionally, I mentor university students globally in computer science, database design (Access DB/SQL), and data analytics (Tableau/Statistics). I focus on translating complex data problems into robust, clean code that creates immediate value.
AI, ML & Web Dev
From time series forecasting models and custom recommendation systems to generative AI agent workflows and responsive Next.js apps, I develop production-grade code that solves actual business problems.
Excel & BI Automation
Boost your productivity with custom VBA macros, advanced workbook models, dynamic formulas, and interactive Tableau/BI dashboards. I streamline your data workflows and eliminate manual spreadsheets errors.
DB & Tutoring Support
Need help designing Access DB structures, writing complex SQL queries, or setting up relational schemas? I also offer 1-on-1 tutoring, code reviews, and academic project mentoring to help you succeed.
Interactive Skill Graph
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Interactive Skill Map
Core AI & Solutions Hub
Center HubFeatured Project & Services
Education
Lovely Professional University
B.Tech in Computer Science
Certifications
Natural Language Processing Specialization
DeepLearning.AIPython for Data Science and AI
IBMWork History
2.5+ Years of Designing & Deploying ML Pipelines
Data Scientist @ Cognitio Analytics Inc
Predicted 12-month PLPM costs enabling client risk management and premium planning.
Established automated model health checks ensuring high stability and accuracy.
Automated model retraining reducing manual ML operations overhead by 90%.
Detailed Responsibilities
- •Developed time series forecasting models to predict 12-month PLPM (Per Life Per Month) cost for an insurance client using regression and boosting approaches, achieving less than 10% MAPE.
- •Implemented an automated model monitoring framework to track prediction accuracy, detect data and concept drift, and evaluate model stability over time.
- •Built scheduled retraining pipelines that automatically trigger model retraining and deployment when monitoring thresholds or performance metrics degrade.
- •Performed exploratory data analysis (EDA) and feature engineering on large healthcare/insurance claims datasets using Python and SQL to improve forecasting reliability.
- •Collaborated with actuarial, product, and engineering teams to integrate cost forecasting outputs into analytics systems for premium planning and risk management.
Data Scientist @ ShyftLabs
Data Analyst & Research Intern @ Intellipaat
Featured Projects
Production-Ready Applications & Architectures
Claims Cost Forecast Lab (Insurance PLPM)
Time series forecasting and drift monitoring system
Session-Level Recommendation Engine
Real-time personalization and CTR prediction system
Hybrid Semantic Vector Search
Dense embeddings and LLM intent recognition search engine
Forecast Lab
Simulate Mathematical Time Series Algorithms
Parameters
ML regression utilizing lag autoregression with rolling momentum features.
Time-Series Predictions & 95% Confidence Intervals
Research & Articles
Technical Guides on Production AI, Time Series, & MLOps
Get In Touch
Let's build your next project, automate your spreadsheets, or solve your database needs
Location
Hyderabad, India / Remote Available