root@chinmay-ds-engine:~# status_check --live
NODE ONLINE / STABLE
Algorithmic Base Frameworks
Linear Algebra
Calculus, Probability Theory Expert
Operational Answer Pipeline SLA
< 30 min
Rapid Matrix Diagnostics Execution
Total Engineering Workspaces
Projects
Pipelines Highlighted Globally
Core Architectural Statement
Intuition Abstract
I map complex data scenarios straight down to their mathematical engine blocks. Leveraging a verified freelance history evaluating multi-variable vector matrices, loss optimizations, and calculus boundaries behind backpropagation pipelines, I design models structured around strict analytical transparency rather than simple trial-and-error scripts.
✔ Full-Stack Data Pipeline Strategy
Capable of engineering enterprise star schemas, writing optimized SQL data definitions inside MySQL frameworks, and writing clean, scalable deployment code patterns inside Python applications.
Capabilities Matrix
Proficiency Weights
Production Code Projects
Production deployments tracking machine learning engineering and data architecture components.
Enterprise E-Commerce Churn Workspace
An interactive end-to-end data science workspace for predicting e-commerce customer churn. Features machine learning metrics dashboarding, real-time risk sandbox analytics, and robust batch CSV data pipelines.
shopwhisper-ai Pipeline
Multimodal AI e-commerce assistant for voice and text-based product discovery, using OpenAI Whisper, Chat Completions, gTTS, and Gradio framework blocks.
Sales Operations Analytics Engine
An end-to-end data analytics project using SQL & Power BI. Simulates an enterprise ETL pipeline with MySQL, data modeling (Star Schema), DAX metrics, and an interactive revenue dashboard.
indian-car-market-sas-analysis
Deep-dive analysis of vehicle efficiencies (km/L) and pricing (₹) across 22 car models using SAS architectures, processing data-engineering metrics.
customer-churn-prediction
Telco customer churn analysis and automated EDA using R, tidyverse, and DataExplorer, with a reproducible project environment managed cleanly by renv files.
covid-r-analysis
Data analysis and hypothesis testing on a COVID-19 dataset using R and RStudio to accurately evaluate age and gender mortality metrics via t-test runs.
Wine-Quality-Prediction---Machine-Learning
Predicting the quality of wine on the basis of given fundamental features. Uses Scikit-Learn classifiers, XGBoost metrics, and a deployed custom Gradio terminal interface layout.
store-sales-time-series-forecasting
Production Python data pipeline modeling structured sequential datasets to predict store sales volumes using time-series transformation operations.
Pizza-Sales-SQL-Analysis
Enterprise-grade data analytics solution using MySQL to optimize revenue streams, track consumer purchase trends, and streamline high-volume database franchise logic.
disaster-tweets-nlp
An end-to-end 6-phase NLP Machine Learning pipeline that uses TF-IDF vector features and Logistic Regression models to predict real disaster statements cleanly.
groww-stock-tracker
A production-ready 6-phase Python data pipeline tracking live stock parameters, handling error metrics defensively, and exporting arrays to Excel blocks.
Digit_Recognizer_MNIST
Google Colab machine learning pipeline for the Kaggle Digit Recognizer MNIST competition, implementing Random Forest models to achieve an accurate 98.55% score.
Private-PDF-Chatbot-Gradio-6.0-Ollama
A 100% private, locally-hosted Retrieval-Augmented Generation chatbot combining Gradio 6.0 layout features with offline vector database context processing.
pdf-chatbot
An enterprise-grade, serverless RAG pipeline transforming multi-page PDF documents into context-aware networks using modern LangChain (LCEL) architectures.
rule-based-chatbot
Local NLP Chatbot built using Python and NLTK focusing completely on foundational core NLP principles, text tokenization, and offline preprocessing algorithms.
Titanic---Machine-Learning-from-Disaster
A high-performance predictive machine learning pipeline engineered to determine passenger survival rates using advanced feature engineering and optimized classification.
Zomato-Data-Analysis
Exploratory Data Analysis (EDA) on Zomato restaurant data streams using Pandas dataframes to calculate key visualization distributions across tabular matrices.
Industrial Technical Log
A chronologically indexed breakdown of professional milestones and system optimizations.
Subject Matter Expert — Mathematics (Data Science Foundations)
Sep 2024 - Mar 2026
Kunduz · Freelance | Remote India Data Array
- Algorithmic Diagnostics: Formulated step-by-step mathematical reasoning structures across multi-variable vector coordinate frameworks, coordinate shifts, and optimization bounds behind backpropagation.
- Data Synthesis: Transformed unformatted data parameters and chaotic logical prompts into highly coherent technical documentation parameters.
- SLA Optimization: Maintained maximum efficiency rates by solving high-complexity algebraic problems under a 30-minute production SLA timeline.
Content Writing Intern
Jun 2023 - Sep 2023
OtakuKart · Internship | Remote Operational Link
- Managed tracking arrays, coordinated structured informational documentation releases, and leveraged Slack communication matrices to fulfill rapid audience distribution milestones.
Technical Foundations Background
Engineering Focus
Sant Gadge Baba Amravati University | Prof. Ram Meghe Institute of Technology & Research
- Focused heavily on computational math structures, high-precision mathematical evaluation modules, and algorithmic data mapping formats.
Live Matrix Simulator Sandbox
An interactive frontend script simulating random forest weight configurations calculating prediction metrics on the fly.
Model Classification Output
22%
Low Retention Attrition Probability