π B.Tech CS β GLA University, Mathura (2022β2026)
π Data Science Intern @ Krutanic Solutions (Remote) β cleaning pipelines, EDA, Power BI dashboards
π οΈ Full Data Stack: ETL/ELT Β· SQL/PostgreSQL Β· Pandas Β· Scikit-learn Β· Power BI Β· GCP/BigQuery
π» Full-Stack: React Β· Next.js Β· Node/Express Β· MongoDB Β· GenAI (Gemini API)
β‘ IoT Background: Arduino Β· Sensors Β· Home Automation
π± Currently Learning: Β Β Β Β β Tools: BigQuery Β· GCS Β· Airflow Β· dbt Β· PySpark Β· Kafka Β· Docker Β· Terraform Β Β Β Β β Concepts: ELT Β· Star Schema Β· Partitioning Β· Idempotency Β· CI/CD
- π Open to remote Data QA / Data Analytics / Data Science / Data Engineering roles β available full-time now
π« dhruvpratapsingh30.official2.o@gmail.com
Data Science Intern β Krutanic Solutions (Remote Β· Aug 2025 β Nov 2025)
- π§Ή Automated data cleaning (Python, Pandas, SQL) β cut errors by ~30%
- π EDA & statistical analysis β surfaced trends, anomalies, and KPIs
- π€ Built regression, classification & time-series models with Scikit-learn
- π Delivered Power BI, Matplotlib & Seaborn stakeholder dashboards
- βοΈ Automated reporting pipelines β cut manual effort by 40%
|
Production-grade pipeline processing 10M+ events. Batch (GCS β Dataflow β BigQuery) & streaming (Pub/Sub β Dataflow). Real-time fraud scoring with dbt modeling and Streamlit dashboard. |
End-to-end Medallion data platform (Bronze/Silver/Gold) on Google Cloud. Batch pipelines & real-time IoT fleet telemetry for 4,000+ vehicles across 6 continents, powering a live Next.js Control Tower dashboard. |
|
Automated pipeline pulling real-time weather via REST API into PostgreSQL with incremental loads, dedup & cron scheduling; time-series analysis on temperature/precipitation trends. |
Cloud-native ELT pipeline processing 133M+ rows (16GB) in under 30s. GCE VMs β GCS β BigQuery star-schema. Streamlit dashboard: 1.9M orders Β· $628M revenue. |
|
Unified purchase, sales & logistics data into a vendor summary; EDA on sales trends, inventory turnover, and profit margins with automated KPI scripts. |
Random Forest + XGBoost regression, RΒ² > 0.87; feature engineering improved accuracy by ~12%. Deployed as a Flask REST API for real-time predictions. |
|
Real-time video conferencing with secure auth, meeting management, and live streaming. |
Gemini (1.5-flash) chatbot with multi-turn dialogue, context management via prompt engineering, and Streamlit frontend for real-time interaction. |
Earlier IoT / Hardware Projects
- Smart Cane for Visually Impaired β obstacle detection, haptic + audio feedback, GPS, GSM (Arduino, Raspberry Pi 3)
- Home Automation System β servo + ultrasonic sensors, RGB lighting, TV automation
- Room Heater with Controlled Humidification β temp/humidity regulation (Arduino, DHT11)
| ποΈ Institution | π Qualification | π Score | π Year |
|---|---|---|---|
| GLA University, Mathura | B.Tech β Computer Science | CGPA 6.96/10 | 2022β2026 |
| Agra Vanasthali Vidyalaya, Agra | Intermediate (Class XII) | 70.6% | 2022 |
| Christ The King High School, Tundla | High School (Class X) | 83% | 2020 |
π View All Certifications
| π’ Issuer | π Certificate |
|---|---|
| Infosys Springboard | Basics of Python Β· Programming Fundamentals using Python |
| NPTEL | E-Business Β· Management Information System Β· Software Engineering Β· Ethics in Engineering |
| GLA CSED | Intro to IoT Β· IIoT Communication Β· Smart Industrial Connectivity Β· Data Science & Analytics Β· ML for IIoT |
| GLA University | Job Oriented Value Added Course |
| DataCamp | Introduction to R (Apr 2025) |
β‘ To activate the snake: Go to Actions β Click "Run workflow" β The snake will appear here and auto-update daily!




