Computer Science Graduate (2025) with strong expertise in backend engineering, data analytics, and applied machine learning. I specialize in building scalable data systems, APIs, and ML-driven solutions that create measurable business impact.
- 🔭 Currently working as Backend & Data Intern @ Markytics.AI
- 📊 Former Data Analyst Intern @ CodePlaced
- 💻 Ex Python Full Stack Intern @ QSpiders
- 🌱 Actively building in Data Engineering, Machine Learning & Backend Systems
- ⚡ Strong focus on scalable APIs, ETL pipelines, and analytics systems
- 📈 Passionate about solving real-world problems using data-driven approaches
- 📫 Email: pratiksutar841@gmail.com
- 🔗 LinkedIn: linkedin.com/in/pratik-sutar-
- Contributed to Smart Collect 2.0, a production-grade data platform
- Built scalable data ingestion APIs (Django + REST Framework)
- Designed MySQL schemas handling 50K+ daily records
- Improved query performance by 35% through SQL optimization
- Enhanced dashboard efficiency via optimized data pipelines
- Automated payroll & financial workflows using Excel + VBA (↓ manual work by 60%)
- Cleaned and validated 10,000+ records with 98%+ accuracy
- Built Power BI dashboards for KPI tracking and reporting
- Performed data reconciliation & quality validation
- Generated insights improving operational visibility
- Built full-stack web app using Django + REST APIs
- Designed backend systems for authentication & dynamic data handling
- Developed API-driven architecture for scalable applications
- Automated backend workflows using Python scripts
- Built end-to-end ML pipeline using Isolation Forest & Random Forest
- Processed 500,000+ sensor data points
- Achieved ~90% detection accuracy
- Reduced false positives by 50%
- Built multi-threaded scraping pipeline (100K+ records)
- Reduced data collection time by 60%
- Cleaned dataset (removed 95% duplicates) for high-quality analysis
- Performed EDA + Sentiment Analysis
- Created Power BI dashboards for pricing & customer insights
Python | SQL | Java | C
Pandas | NumPy | Scikit-learn
EDA | Feature Engineering | Model Evaluation
Classification | Regression | Anomaly Detection
Power BI | Tableau | Excel (Advanced, VBA, Macros)
Django | FastAPI | REST APIs
MySQL | SQL Server | MongoDB | BigQuery
ETL Pipelines | Data Modeling | API Integration
Git | GitHub | Docker | AWS (EC2, S3)
Jupyter | Google Colab
- Oracle Certified Foundations Associate – Database (SQL)
- Career Essentials in Data Analysis – Microsoft & LinkedIn
- Deloitte Data Analytics Simulation – Forage
- Agile Virtual Experience – Cognizant
- ISRO – AI/ML for Geodata Analysis
Seeking entry-level roles in Backend Development, Data Analytics, or Machine Learning, where I can leverage strong engineering and analytical skills to build scalable, high-impact solutions.
💡 Build → Analyze → Optimize → Repeat 🚀