Waqas Dost

Waqas Dost

$10/hr
Data Scientist & Engineer | Python, PostgreSQL, GIS, AWS, Tableau, Power BI, RETOOL, ETL Pipelines
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
23 years old
Location:
Islamabad, Punjab, Pakistan
Experience:
2 years
Waqas Dost - |-| https://www.linkedin.com/in/waqas-dost-b/ | https://github.com/dost0092 Professional Summary Passionate Computer Science graduate from FAST-NUCES. Enthusiastic about Development and Data Science, I love exploring cutting-edge technologies. I am committed to continuous learning and pushing boundaries. Seeking a dynamic role where I can constantly grow and contribute to innovative projects. Education FAST National University of Computer & Emerging Science, B.S Computer Science Sep 2020 – Jun 2024 GPA: 2.91 Relevant Coursework: Data Structures and Algorithm, Operating System, Software Design and Analysis, Database Systems, Web Programming, Information Security, Artificial Intelligence, Data Science, Computer Vision Skills Data Science: Data Collection, Data Scraping, Data Annotation, Bulk, Grafana, Power bi, Tableau, PostGIS, Sql, PostgreSQL, Python Automation, GIS Analyst, AWS, Flask, Generative-AI: Llama, Python, Llama-CPP, Fine-Tuning LLM, Rag, AI Automation, AI Agent Work Experience CodSoft Remote Internship Jan 2024 – Feb 2024 Implemented predictive models for Titanic survival, movie ratings, and Iris flower classification, honing skills in data preprocessing, feature engineering, and advanced machine learning techniques. Gained dynamic data science expertise through hands-on experience and mentorship, strengthening my abilities in data visualization, model evaluation, and future projects. Sell Out Dashboards Remote Contract Based Freelancer Mar 2024 – May 2024 Developed multiple dashboards for NACON, focusing on sales and competitor analysis using data from CSV files and website sources. Leveraged Tableau and Power BI to create insightful and interactive visualizations, driving data-driven decision-making. Zoneomics – Data Scientist Onsite Nov 2024 – Present Manage and optimize spatial databases using PostgreSQL and PostGIS, ensuring high performance and integrity for large-scale GIS zoning datasets across the U.S. Design and implement Python-based automation pipelines for data extraction, transformation, and loading (ETL) from diverse sources including websites, APIs, and file systems. Develop and deploy AI agents and intelligent data tools to streamline zoning analysis, permit use classification, and real estate decision-making workflows. Build scalable RESTful APIs using Python (Flask) to serve zoning data and automate zoning report generation. Lead end-to-end data scraping workflows and integrate them with PostgreSQL/PostGIS-backed systems to maintain up-to-date zoning and property datasets. Utilize cloud infrastructure (AWS) for deployment, data storage, and compute tasks; automate deployments and CI/CD processes with Jenkins, Docker, and GitHub Actions. Contribute to the development of ML-powered tools including land-use classification models and site selection assistants using NLP and RAG-based architectures. Collaborate with cross-functional teams to ensure data quality, optimize geospatial processing tasks, and support product innovation through data-driven insights. Selected Projects (https://github.com/dost0092) Cat Connect (A Comprehensive Feline Breeding System) GitHub React Native, Firebase, Node.js, ML, LLMs, Developed Cat Connect, a mobile app connecting cat breeders and vets, featuring chat, video consultations, appointment scheduling, and personalized breed recommendations. Web based Lost and Found System (Full Stack Developer) GitHub React.js, Node.js, Express.js, MySQL2, Redux Developed a lost and found system using React js Node.js, Express.js, MySQL2, Sequelize, and Jest, with version control via GitHub, enabled user registration, item management, and admin oversight, with email notifications for found items Arrhythmia Detection Through ECG Data Analysis: A Comprehensive Study (Data Science) GitHub Python, Jupyter, Power bi, PostgreSQL Analyzed ECG data for cardiac rhythm disorders using the "WFDBRecords" dataset, employing wfdb, psycopg2, and PostgreSQL for data preprocessing and storage. Conducted EDA, visualized ECG signals, and used PCA for dimensionality reduction, enhancing arrhythmia detection and contributing to better cardiovascular health outcomes. Selected Certificates Introduction to Tableau (DataCamp) Intermediate SQL (DataCamp) Introduction to NumPy (DataCamp) Extra-Curricular Activities Head Finance FAST Photography Society Head Management FAST DAIRA Cricket Tournament Photography, Videography
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