Tawadros Gamal Anwar Nemer
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Tawadros Gamal Anwar Nemer

Tawadros Gamal Anwar Nemer

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Applied/Data Scientist @ Microsoft | Data Scientist and Machine Learning Engineer | GDG Assiut Orgainser and Co founder | Deep Learning Researcher
Asyut, Egypt

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Starting at USD1.5K/month
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Résumé

Jobs verified_user 0% verified
  • Microsoft
    Applied Scientist
    Microsoft
    May 2024 - Current (1 year 2 months)
    • Developed LLM-powered automation to enhance data validation, extraction, and normalization, reducing errors and manual effort. • Designed and implemented semantic validation for product data, improving quality across large-scale datasets. • Built an AI-driven anomaly detection system for pricing accuracy, identifying and correcting discrepancies efficiently. • Expanded automated data pipelines using Azure and internal tools, processing millions of daily product URLs to improve structured data ingestion. • Optimized real-time dashboards for monitoring data workflows, ensuring seamless reporting and insightful analytics. • Resolved critical pipeline failures and improved data consistency through automated validation workflows in Azure
  • L
    Mid-Senior Big Data Engineer
    Ligadata
    Aug 2023 - May 2024 (10 months)
    • Designed and orchestrated Big Data workflows using Apache Airflow, enhancing process efficiency and scalability. • Leveraged tools like Presto, Hive, and Elastic Stack (Kibana, Elasticsearch) for insightful analytics on massive datasets. • Automated data feed deployment using Python, Scala, and Bash scripting, ensuring secure and error-free operations. • Mentored junior engineers, promoting team growth and technical proficiency. • Established rigorous data validation procedures, ensuring high data integrity and process accuracy.
  • M
    Data Scientist and Machine Learning Engineer
    Minapharma
    Aug 2022 - Aug 2023 (1 year 1 month)
    • Engineered sales forecasting solutions with a 120% improvement in accuracy, leveraging time-series analysis and BI tools to drive data-informed business decisions using ARIMA , AutoML , Prophet, and Neural Networks. • Developed interactive dashboards using Streamlit to demonstrate actionable insights from data. • Applied computer vision for object detection and activity classification, leveraging YOLO and SSD models. • Built an ATS tool combining OCR and NLP for candidate matching based on job requirements.
  • AWS
    Community Builder
    AWS
    Mar 2022 - Current (3 years 4 months)
    • Promoting AWS solutions for data engineering and machine learning.
  • G
    Organizer
    Google Developers Group Assiut
    Nov 2021 - Current (3 years 8 months)
    • Organize and maintain Google's events in Assiut and introduce new technologies to all developers and companies in Assiut with the goal to turn Assiut into a Big Tech Hub.
  • E
    Data Scientist
    Egirna Technologies
    Oct 2021 - May 2022 (8 months)
    • Developed a sentiment analysis system for Chinese language data using the Ernie library. • Built predictive sales and stock forecasting models, optimizing inventory and financial performance.
  • C
    Artificial Intelligence Engineer
    CliniDo
    Sep 2021 - Aug 2022 (1 year)
    • Designed and deployed a specialty classifier for medical symptoms, leveraging NER models for high accuracy. • Built CI/CD pipelines and deployed machine learning projects on AWS infrastructure. • Created an Arabic sentiment analysis model with 97% accuracy, analyzing patient feedback. • Implemented a voice-based smart search solution using GCP Speech API, enhancing user experience.
  • U
    Machine Learning Engineer
    Upwork–
    Oct 2020 - Oct 2021 (1 year 1 month)
    • Delivered ETL, EDA, and predictive modeling solutions for diverse clients. • Deployed machine learning models using Flask APIs, TensorFlow Serving, and TensorFlow Lite.
Education verified_user 0% verified
  • F
    Bachelor of Computer Science.
    Faculty of Computer and Information, Assiut University
    Jan 2017 - Jan 2021 (4 years 1 month)
Projects verified_user 0% verified
  • P
    Personalized Product Recommendation Systems
    Apr 2025 - May 2025 (2 months)
    • Built AI models that analyze user preferences to recommend the best products. • Leveraged Retrieval-Augmented Generation (RAG) to enhance recommendation accuracy and drive user engagement. • Technologies: Python, RAG, CAG, Deep Learning, NLP, LLM.
  • S
    Semantic Data Structuring Pipeline
    Feb 2025 - Apr 2025 (3 months)
    • Extracted structured insights from unstructured medical documents using NLP + data engineering pipelines..
  • B
    BI-Driven Sales Forecasting System
    May 2024 - Jul 2024 (3 months)
    • Developed dashboards with real-time analytics and alerts using Streamlit, Power BI, and Prophet-based forecasting..
  • L
    LLM Sentiment Analysis
    Nov 2023 - Apr 2024 (6 months)
    • Fine-tuned an LLM model for sentiment analysis on social media data. • Improved accuracy, enabling more precise real-time sentiment analysis of user tweets. • Technologies: NLP, LLM task Fine-tuning, Sentiment Analysis, Deep Learning.
  • S
    Solo-Fit
    Jan 2021 - Jul 2021 (7 months)
    • Developed an Android App for weight management, allowing users to customize their diet plans. • Classified Egyptian food items to display their nutritional information. • Android, Python, Machine Learning, Nutrition Analysis.