π Master's in Data Science @ Illinois Institute of Technology (GPA: 4.0/4.0)
πΌ Ex-Boeing | Data Scientist | Data Analyst | Data Engineer | Machine Learning Enthusiast
π Turning data into decisions β one pipeline, model, and dashboard at a time.
I'm a data enthusiast with 2+ years of experience in developing scalable platforms, automating ETL workflows, and creating intelligent solutions that deliver real-world impact. My projects and professional work span predictive analytics, real-time dashboards, machine learning, and cloud-based data engineering pipelines. I love solving complex data problems and turning raw data into actionable intelligence.
My experience spans:
- 2+ years at Boeing crafting high-performance platforms with predictive analytics.
- Projects that fuse data science, visualization, and cloud engineering.
- A track record of performance boosts β from 98% faster processing to 25% improved query efficiency.
| Area | Tools & Tech |
|---|---|
| Languages | Python, R, SQL, Bash, Java |
| ML & Analysis | Pandas, NumPy, Scikit-learn, TensorFlow, Statsmodels |
| Visualization | Power BI, Tableau, Matplotlib, Plotly, Seaborn |
| Cloud & Big Data | AWS (S3, EC2, Lambda, Glue), Apache Kafka, Spark, Docker, Linux |
| Databases | MySQL, PostgreSQL, MongoDB, DynamoDB |
| Other Tools | Git, Excel, Jupyter, GitHub Actions |
- β±οΈ 98% faster processing via algorithmic optimization and parallelism.
- π 25% boost in database performance through advanced SQL tuning.
- π Resolved 500+ security issues and led team-wide secure coding initiatives.
- Built an automated volleyball highlight system with OpenCV + SVM (88% F1 score).
- Achieved 30% noise reduction using statistical smoothing techniques.
- Delivered a complete video pipeline for real-time sports content.
A real-time data pipeline using Apache Kafka + AWS DynamoDB to analyze high-frequency stock trends.
π From ingestion to dashboard β 100% serverless.
SARIMA-based time series forecasting on U.S. mortality data (1999β2018).
π RΒ² = 0.88 | SMAPE < 4% | Residuals pass all diagnostics.
Automatically generate highlight reels from full-match videos using ML + OpenCV.
π¬ Optimized for real-time deployment and professional output.
Scraped match data from 1000+ T20 games to generate interactive Power BI dashboards.
π Reduced decision time by 50% for selectors and analysts.
- π§ Email: [email protected]
- πΌ LinkedIn: linkedin.com/in/vikas-r-karjigi-309a6116a
- π§ Always open to collaborations, data challenges, or coffee chats!
βData is a story β I build the tools to tell it.β