Chinmay Aswale

I automate boring work with Python. Your team gets their time back.

Status
Open to Internships
January 2026
(What I've Built)

Nine projects. Real time saved. Zero fluff.

Workflow automation dashboard with Python scripts running
View
Automation

Invoice Processor

Eliminated 8 hours/week of data entry.

Python Selenium Pandas
2025
Machine learning model training visualization
View
Machine Learning

Sales Forecaster

87% accuracy. Plan inventory 3 months out.

Python Scikit-learn Pandas
2025
Data pipeline visualization showing ETL process
View
Data Engineering

Report Generator

4 hours → 15 minutes. Daily reports, zero manual work.

Python SQL Airflow
2024
SQL database optimization visualization
View
Database Performance

SQL Optimizer

Cut query time from 45s to 1.2s. 97% faster.

Python PostgreSQL SQLAlchemy
2025
Real-time webhook processing system
View
Event Processing

Webhook Handler

Processes 10K events/hour. Real-time sync.

Python FastAPI Redis
2024
Email automation system processing messages
View
Communication

Email Processor

Sends 50K emails/day. Personalized at scale.

Python Celery SendGrid
2024
API infrastructure with rate limiting
View
Infrastructure

API Guardian

Prevented $3K/month in overages. Smart throttling.

Python Redis Flask
2024
Log analysis and monitoring system
View
DevOps

Log Analyzer

Catches errors 3 hours before users notice.

Python Elasticsearch Regex
2024
Document processing and conversion system
View
Document Processing

File Converter

Converts 1K files/hour. All formats handled.

Python Pillow PyPDF2
2024

View
All Work

(Quantified Impact)

Real Results

9

Projects Shipped

Production systems solving real problems

45 hrs

Hours Saved

Per week across all implementations

600 +

Tasks Automated

Weekly processes running without intervention

92 %

Avg Accuracy

Production-ready automation and ML systems

These aren't vanity metrics. Each number represents actual business value delivered through automation and ML.

(Let's Talk)

Need
help?

Looking for someone who can ship working code? Available for internships starting January 2026.

(Technical Depth)

See how it works

Live examples of automation in action. Click any demo to run it.

automation.py
# Invoice Parser - Automation Example
import pandas as pd
from pdf2text import extract

def process_invoice(pdf_path):
    # Extract invoice data
    text = extract(pdf_path)
    
    # Parse key fields
    data = {
        'invoice_id': parse_field(text, 'Invoice #:'),
        'amount': parse_field(text, 'Total:'),
        'date': parse_field(text, 'Date:')
    }
    
    # Validate and save
    if validate(data):
        save_to_erp(data)
        return {'status': 'success', 'data': data}
    
    return {'status': 'error'}

# Process all pending invoices
invoices = get_pending_invoices()
for invoice in invoices:
    result = process_invoice(invoice)
    log_result(result)
Live Output
Click "Run" to see automation in action...
Processing Time

2.3s

Success Rate

87%

Records Processed

1,523

What this does

Automatically extracts invoice data from PDFs, validates fields, and enters information into ERP system. Handles 200+ invoices weekly with 98% accuracy, eliminating 8 hours of manual data entry.