I am a full-stack data scientist and data engineer with more than 5 years of professional experience. I am familiar with almost all major tech stacks on data science/engineering. My main areas of expertise and tech stack: Data Science: Languages: Python, R, C++ Libraries & Frameworks: NLP, AIGC, HuggingFace, ML, Reinforcement Learning, Deep Learning, Computer Vision, Anomaly Detection, Chatbot, Price Optimization, Predictions, Time Series Analysis, Stock Predictions, etc. Data and Cloud Engineering: AWS: IAM, S3, EC2, Glue, Redshift, Athena, Lambda, Step function, QuickSight, Cloud formation, Lake Formation Data Warehouse: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, databricks and Azure. ETL: aws glue, dbt, scriptella, informatica, nifi, stitch, skyvia, Reporting Tools: Tableau, Google Data Studio, Seaborn, ggplot2, Plotly, folium Web scraping: Scrapy, urllib3, Selenium, Beautifulsoup Web Analytics: Google Tag Manager, Google Analytics 4, Universal Analytics to GA4 migration. Data Sources: Shopify, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Google Analytics, Google Search Console, SEMRush, etc. Software Design Documentation: graphviz, mermaid, Figma Project Management and Documentation: Confluence, Jira, Notion, ClickUp, Trello Security: secure file transferring and oAuth etc In addition to this, As Co-Founder and Managing Director of AFverse, an artificial intelligence solutions firm, my team of talented data engineers and machine learning scientists build intelligent data platforms for some of the world's largest enterprises. These platforms turn data into valuable insights, forming the foundation for using machine learning to automate, optimize, and drive innovation in various processes. A few years back, I started an AI-driven ridesharing platform named Ridely to explore how cities can benefit from big data and Carpooling, and it has been an exciting journey. Modern cities not only boost the quality of life for residents but also enhance their ability to succeed in the growing digital economy. I'm also a huge believer in human-centered technology. Throughout my career, I have been involved in various projects related to human rights organizations and actively support movements for data dignity, digital justice, and AI ethics. My Mentors: Datum Labs: Faizan Khan, Zain Khan Afiniti: Ahmad Hassan ITU: Ahmad Bilal Aslam AFverse AI: Dr Arabella Bhutto I also like meeting new people over a cup of coffee. Feel free to reach out at rana.sheharyar@outlook.com or DM on Twitter @rsheharyaramir