NEURAL OPERATIONS
SYSTEM ARCHITECTURE
Rajan Nishad
Data Scientist & Machine Learning Engineer crafting intelligence from chaos.
Bridging Logic
& Imagination
Data isn't just numbers—it's the raw material of intelligence. I architect deep learning systems that turnchaos into clarity, building the bridge between theoretical AI and real-world impact.
Active Modules
Neural System
Operational Tech Architecture
Case Studies
Sales Forecasting Dashboard
Predictive dashboard using 3+ years of historical sales data to forecast trends with 90% accuracy. Automated monthly reporting and trend analysis.
Customer Segmentation
Applied clustering algorithms (K-Means) to categorize customers by behavior. Boosted targeted campaign effectiveness by 20%.
Supply Chain Optimization
Inventory management model using SQL/Excel. Reduced stockouts by 15% and decreased excess holding costs by 10%.
Churn Prediction Model
Designed a logistic regression model achieving 85% accuracy to identify at-risk subscribers and enable proactive retention.
Operational History
I am a Data Scientist bridging the gap between theoretical AI and production engineering. Currently enabling data-driven decisions at Rays Biotech.
Timeline
Data Scientist
Engaging in social media content optimization using data insights. Managing product listings with high-quality descriptions and visuals.
Graduated (B.Sc Data Science)
Specialized in Machine Learning, Statistical Analysis, and Big Data technologies. Completed key academic projects in Predictive Modeling.
Freelance / Internship
Simulation involving data analysis and forensic technology. Created visualizations using Tableau to classify complex datasets.
Higher Secondary (HSC)
Foundation in Science and Mathematics. Secured 50%.