(Apr 2025 - Present)
Associate Data Engineer Intern
Quantrail Data
Hey There!
I'm Mohamed Hussain S, a Data Engineer Intern turning real-world problems into solutions with code and curiosity.
constcoder={name:'Mohamed Hussain S',skills:['Python', 'SQL (Advanced)', 'Bash (Basics)', 'ClickHouse', 'PostgreSQL', 'MySQL', 'Apache Airflow', 'Git & GitHub', 'VS Code'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};About Me
Driven by Curiosity, Fueled by Data
Associate Data Engineer Intern at Quantrail Data, where I'm building real-time analytics dashboards and scalable data pipelines using ClickHouse and Python. From demand prediction (AutoTrend) to healthcare apps (MedRem), I enjoy crafting data-driven solutions and shipping smart backend logic. I thrive in hackathons, love clean code, and believe learning should never stop. Let's build what matters. 🚀
Experience
(Jan 2025 - Apr 2025)
Final Year Project Developer
AutoTrend - Demand Prediction System
(Apr 2024)
Hackathon Team Lead
TechQuest - MedRem
Skills
PROJECTS
ClickHouse Metrics Extractor
constproject={name:'ClickHouse Metrics Extractor',tools: ['Python', 'Airflow', 'Docker', 'ClickHouse', 'clickhouse-connect],myRole:Intern Project | Automation & Monitoring,Description: Built an automated system to collect ClickHouse internal metrics every hour using Airflow. Stored results in daily CSV files using Docker containers and Python scripts. Helped practice metric monitoring, logging, and scheduled data capture.,};COVID-19 Data Pipeline
constproject={name:'COVID-19 Data Pipeline',tools: ['Python', 'Airflow', 'Docker', 'PostgreSQL', 'Requests],myRole:Intern Project | ETL & Scheduling,Description: Designed a complete data pipeline to pull COVID-19 stats from an API, process it, and store it in PostgreSQL. Used Airflow for orchestration and Docker for containerization. Focused on real-world ETL, retries, and modular scheduling.,};TrendLite - Live Retail Insights
constproject={name:'TrendLite - Live Retail Insights',tools: ['Python', 'Streamlit', 'ClickHouse', 'Altair', 'Pandas],myRole:Intern Project | ETL & Visualization,Description: Deployed a real-time sales dashboard using Streamlit and ClickHouse. Included dynamic date filters and visuals for KPIs like revenue trends, product performance, and category insights.,};AutoTrend - Demand Prediction
constproject={name:'AutoTrend - Demand Prediction',tools: ['Python', 'Streamlit', 'Scikit-learn', 'Pandas', 'YData Profiling],myRole:Capstone Project | Team of 2,Description: Created a no-code tool for demand prediction using AutoML. Included EDA, model selection, and ensemble-based prediction with a focus on user-driven configuration and visual results.,};Education
Oct 2021 - May 2025
B.E. Computer Science and Engineering
Rajalakshmi Engineering College, Chennai, India
Jun 2019 - May 2021
High School Diploma, Science Stream
International Indian School Jeddah, Saudi Arabia
Blogs
114
From Python to ClickHouse: Parquet ETL with Go
2 Min Read
Hey Devs 👋, If you're exploring modern data engineering stacks or want to try out ClickHouse with Go...
19
⚡ 3 ClickHouse Query Optimization Lessons I Learned the Hard Way
3 Min Read
When I first started using ClickHouse, my initial reaction was: “This thing is blazing fast… do I...
92
🧠 From Hive and Elastic to ClickHouse: What Surprised Me
3 Min Read
Over the past few weeks, I’ve been diving into ClickHouse — and it’s been full of surprises. Coming...