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Neloy Pramanik Supto

@neloypramaniksupto

Data & ML professional skilled in Python, SQL, machine learning, analytics, CCNA networking, MikroTik, Power BI, routing and switching.

Bangladesh

Message

What I'm looking for

I am looking for an entry-level or junior role in Data Analytics, Machine Learning, Data Engineering, or Network Engineering where I can apply my Python, SQL, ML, data processing, and CCNA/MikroTik networking skills. I prefer practical, technical roles with opportunities to learn, solve real problems, and contribute to data-driven or infrastructure-focused projects.

I am a Computer Science and Engineering graduate with hands-on experience in data engineering, machine learning, data analytics, and enterprise networking. I currently work remotely as a Data Engineering Associate, where I handle data acquisition, cleaning, transformation, validation, and preparation of analysis-ready datasets.

I have built end-to-end machine learning projects using Python, Pandas, NumPy, Scikit-learn, TensorFlow, XGBoost, and LightGBM. My experience includes data preprocessing, feature engineering, model training and evaluation, explainable AI using SHAP and LIME, and deploying ML applications with FastAPI, Docker, AWS, and GitHub Actions.

I have also worked on machine learning projects involving sleep health prediction, agro-climatic data reconstruction, deep learning, and large-scale web data collection. My research experience includes a published applied machine learning conference paper and additional work in climate forecasting and explainable AI.

Alongside data and ML, I have practical networking knowledge through CCNA and MTCNA training. I have configured OSPF, VLANs, inter-VLAN routing, NAT, ACLs, VRRP, DHCP, and enterprise-style network topologies using Cisco Packet Tracer, EVE-NG, Cisco IOS, and MikroTik RouterOS.

I am interested in remote junior and associate roles in Data Analytics, Data Engineering, Machine Learning, AI, and related technical positions. I enjoy solving practical problems, working with structured datasets, building reproducible technical solutions, and continuously improving my skills.

Experience

Work history, roles, and key accomplishments

Current

Data Engineering Associate

Current

Red Digital Marketing Group

Mar 2026 - Present (6 months)

Working as a Data Engineering Associate focused on data operations, collection, cleaning, transformation, validation, and preparation of structured datasets for marketing analytics and business use. Responsibilities include turning raw and inconsistent data from multiple sources into reliable, analysis-ready datasets through systematic quality-control and validation processes.

Data Scraping Web Scraping Data Cleaning Data Validation data transformation Data Processing Data Analysis Data Quality Automation CSV Processing Python SQL Excel

Enterprise Networking Project

Independent Project

Jul 2026 - Jul 2026 (0 months)

Designed and implemented a production-style multi-branch enterprise network architecture in EVE-NG using MikroTik RouterOS v7, including hierarchical OSPF, VLAN segmentation, DHCP, NAT, firewall policies, VRRP high availability, and centralized services. Performed end-to-end validation and troubleshooting across the entire infrastructure.

Machine Learning & Data Engineering Projects

Independent Projects

Developed multiple end-to-end machine learning and data engineering projects covering data collection, preprocessing, feature engineering, model development, evaluation, explainability, and deployment-oriented workflows. Built a complete sleep-health prediction system and an agro-climatic ML framework using XGBoost and LightGBM.

Python Pandas NumPy scikit learn TensorFlow Keras Machine Learning Deep Learning XGBoost LightGBM Feature Engineering data preprocessing Model Evaluation SHAP LIME Data Analysis predictive modeling

Geo-Business Data Collection Pipeline

Independent Project

Developed a modular and automated web-data collection pipeline for large-scale business information using Node.js, Playwright, and JavaScript. Built parallel scraping workflows, processed over 10,000 business records, and achieved approximately 98% address extraction accuracy.

Web Scraping Data Scraping NodeJS Playwright JavaScript Automation Data Collection Data Cleaning Data Validation Data Processing Duplicate Removal CSV Processing Data Quality ETL Data Extraction

Education

Degrees, certifications, and relevant coursework

Daffodil International University

Bachelor of Science, Computer Science and Engineering

2021 - 2025

Grade: 3.60 / 4.00

Completed a B.Sc. in Computer Science and Engineering with a CGPA of 3.60/4.00. Relevant coursework included Data Mining & Machine Learning, Artificial Intelligence, Computer Networks, Data Communication, Database Management Systems, Statistics, and Probability.

Creative IT Institute

CCNA & MTCNA Networking Training, Computer Networking

Completed focused networking training covering CCNA and MTCNA topics with hands-on practice in IP addressing, subnetting, routing and switching, OSPF, VLANs, NAT, firewall configuration, and network troubleshooting. Worked with Cisco networking concepts and MikroTik RouterOS environments as part of practical lab-based training.