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Zohaib U.
Karachi, Pakistan
As an ardent advocate at the forefront of Machine Learning and Data Science, I thrive on the leading edge of Generative AI 🧠 and optimization models. My journey in this dynamic arena is propelled by an unwavering commitment to innovation, shaping data products that transcend conventional boundaries and exceed business benchmarks. My greatest strength lies in the integration of automation 🤖, machine learning, and data science principles, meticulously tailored to address real-world business imperatives. I don't just deliver solutions; I devise game-changing strategies that catapult businesses ahead of their competitors 🚀. With my expertise, data becomes an indispensable asset 🔨, unlocking unparalleled opportunities for growth and achieving unprecedented success 🌟.
- Python
- Data Science Consultation
- NumPy
- Anomaly Detection
- Bayesian Statistics
- Decision Tree
- Gradient Boosting
- Cluster Computing
- Recommendation System
- Python Scikit-Learn
- pandas
- Machine Learning
- Data Science
- API
- Data Scraping
Lev L.
Bishkek, Kyrgyzstan
I’m a senior Data Scientist and Machine Learning Engineer with a proven track record of delivering end-to-end AI solutions that drive business impact — particularly in fintech and blockchain domains.
I’ve designed and deployed systems that detect anomalies in real time, forecast complex patterns, and uncover hidden relationships in blockchain networks through graph-based modeling. My work helps organizations make faster, smarter decisions with data they already own. Beyond data science, I specialize in building scalable ML infrastructure and intelligent backends. I’ve architected cloud-native platforms across AWS, GCP, YC and Databricks — supporting everything from real-time inference to long-term model lifecycle management. Using Infrastructure-as-Code and event-driven design, I help teams move faster with fewer operational headaches. I also work at the frontier of AI, applying large language models (LLMs) in practical, production-grade workflows — from autonomous agents to custom reasoning pipelines. The result: smarter products, reduced manual effort, and new opportunities unlocked by generative AI.
Whether you’re looking to predict, automate, or scale—I’m here to help you make it real.
- Deep Learning
- PyTorch
- TensorFlow
- MATLAB
- Machine Learning
- Python
- Data Science
- Google Cloud Platform
- Data Visualization
- Amazon Web Services
- Big Data
- API Development
Andreas A.
Nicosia, Cyprus
🏆 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 (𝗶𝗻 𝘁𝗵𝗲 𝘁𝗼𝗽 𝟯% 𝗼𝗳 𝘁𝗵𝗲 𝗳𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺)🏆
✨ 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗥𝗮𝘁𝗲 ✨
🚀 𝟱 𝘀𝘁𝗮𝗿 𝗿𝗮𝘁𝗶𝗻𝗴𝘀 𝗮𝗻𝗱 𝟭𝟬𝟬% 𝗰𝗹𝗶𝗲𝗻𝘁 𝘀𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻 𝗿𝗮𝘁𝗲 🚀
🏆Experienced Machine Learning expert with extensive years of hands-on experience in model development, data pre-processing, and feature engineering, underpinned by a solid mathematical foundation and a track record of delivering sophisticated analytical solutions. With a rigorous mathematical background, including a first-class honours degree in Mathematics, equipped with the analytical prowess essential for complex model development and optimization.🏆
🏆Holding a Master's degree in Data Analytics with a focus on Machine Learning, achieving one of the top distinctions among peers and showcasing an in-depth understanding of diverse ML applications, from natural language processing to predictive modelling and anomaly detection. Tenacity combined with a relentless pursuit of excellence ensures the delivery of high-quality, accurate, and efficient solutions to intricate ML challenges.🏆
🏆𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀🏆
✅ Proficiency in 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀 ,𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗥.
✅ Strong background in mathematical concepts and statistical analysis.
🚀 𝗠𝗔𝗖𝗛𝗜𝗡𝗘 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚 🚀
✅𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗖𝗵𝘂𝗿𝗻 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻: Developed models using Logistic Regression and Random Forests to predict customer churn, enhancing retention strategies for businesses.
✅𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀: Implemented Support Vector Machines (SVMs) and Gradient Boosting Machines (GBMs) to identify fraudulent transactions, reducing financial risks.
✅𝗗𝗶𝘀𝗲𝗮𝘀𝗲 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀: Built predictive models using Decision Trees and Neural Networks to forecast disease likelihoods based on patient data, aiding early medical intervention.
✅𝗖𝗵𝗮𝘁𝗕𝗼𝘁 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝗡𝗟𝗣: Created a chatbot using RNNs (Recurrent Neural Networks) and Transformer Models for accurate text classification and user interaction.
✅𝗦𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗼𝗻 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮: Applied Naive Bayes and BERT (Bidirectional Encoder Representations from Transformers) to classify sentiment in social media posts, providing insights into public opinion.
✅𝗧𝗶𝗺𝗲𝗦𝗲𝗿𝗶𝗲𝘀 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗚𝗣𝗦 𝗦𝗽𝗼𝗼𝗳𝗶𝗻𝗴 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: Developed a LSTM (Long Short-Term Memory) model to detect GPS spoofing, with results published in an IEEE conference.
Bitcoin Price Forecasting: Modeled Bitcoin price trends using Neural Networks and several variables
✅𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Utilized K-Means Clustering and Hierarchical Clustering to segment customers based on behavior, driving targeted marketing efforts.
✅𝗖𝗿𝗲𝗱𝗶𝘁 𝗖𝗮𝗿𝗱 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: Applied Local Outlier Factor (LOF) and K-Nearest Neighbors (KNN) for anomaly detection in credit card transactions, improving fraud prevention systems.
✅𝗘𝗻𝗲𝗿𝗴𝘆 𝗖𝗼𝗻𝘀𝘂𝗺𝗽𝘁𝗶𝗼𝗻 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻: Used LSTM models to forecast energy usage, helping optimize resource allocation and reduce costs.
✅𝗧𝗲𝘅𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗦𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝗟𝗟𝗠𝘀: Leveraged LLMs like GPT-3 for generating and summarizing text, improving content creation workflows and automating document generation.
💻𝗣𝗥𝗢𝗚𝗥𝗔𝗠𝗠𝗜𝗡𝗚 𝗔𝗡𝗗 𝗟𝗜𝗕𝗥𝗔𝗥𝗜𝗘𝗦 💻
✅ 𝗣𝘆𝘁𝗵𝗼𝗻 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀: TensorFlow, Keras, PyTorch, Scikit-Learn, XGBoost, LightGBM, Transformers (Hugging Face), Pandas, NumPy, Spacy, SciPy, Matplotlib, Seaborn, Plotly, Statsmodels, NLTK, SpaCy, Gensim, BERT, GPT-3, TextBlob, OpenCV, BeautifulSoup
✅𝗥 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀: caret, randomForest, e1071, glmnet, MASS, dplyr, tidyr, data.table, readr, stringr, ggplot2, shiny, lattice, forecast, zoo, xts, tseries, tm, quanteda, text2vec, Bioconductor, edgeR, DESeq2.
- Mathematics
- Deep Learning
- Natural Language Processing
- Python
- Machine Learning
- Time Series Analysis
- Deep Neural Network
- Artificial Intelligence
- Data Analysis
- Data Science
- Classification
- Regression Analysis
- TensorFlow
- Statistics
- Feature Engineering
Salah S.
Mahdia, Tunisia
Greetings! I'm Salah Sammari, a dedicated Data Scientist with a focus on Natural Language Processing. Having accumulated over two years of hands-on experience in the realm of AI and machine learning, I'm reaching out to offer my expertise for your AI-driven endeavors.
Professional Snapshot:
My journey began with a solid foundation in Computer Science Engineering from the Higher School of Engineers Esprims in Tunisia. Over the past two years, I've been privileged to work with distinguished organizations such as DNEXT Intelligence SA and UBIAI. In these roles, I've not only implemented advanced NLP solutions but also successfully navigated challenges in trading platform optimization and extended data science training to budding enthusiasts.
Core Competencies:
NLP & Machine Learning: Expertise in various techniques ranging from sentiment analysis, topic modeling to Named Entity Recognition (NER). I've extensively worked with transformer models such as GPT, BERT, and LayoutLM.
Programming & Tools: Proficient in Python and SQL (Postgres) with a keen understanding of data science libraries like Pandas-Numpy, Matplotlib-Seaborn, and Scikit-learn. My skill set also includes cloud platforms like AWS and Snowflake.
Project Highlights: From developing AI-driven solutions for content filtering and recommendation engines to building transformer-based chatbots and leveraging OCR techniques, I've overseen multiple projects that required innovative problem-solving and rigorous model fine-tuning.
Collaboration & Training: My cross-functional collaboration experience ensures smooth project executions. Additionally, as a Data Science Trainer at Ruspina Training Center, I've mentored over 150 students in Python, machine learning, and NLP.
What Drives Me:
I thrive on challenges and continually seek opportunities to apply my skills in diverse scenarios. My rank as a Kaggle Master, standing in the top 1%, speaks volumes about my passion for pushing the boundaries of what AI can achieve. The blend of rigorous academia, practical applications, and my incessant drive to learn has shaped my holistic approach to problem-solving.
- Deep Learning
- Python
- Data Science
- Machine Learning Model
- Data Science Consultation
- Data Visualization
- Machine Learning
- Data Analysis
- Natural Language Processing
- Transformer Model
- Chatbot
- GPT-3
- LLM Prompt Engineering
- Hugging Face
- Recommendation System
Ahmed A.
Cairo, Egypt
Hello! I'm Ahmed Abulkhair, a passionate Data Scientist with a proven track record in leading teams and developing cutting-edge AI solutions. My expertise includes building and deploying Large Language Models (LLMs), managing cross-functional teams, and delivering impactful demand forecasting systems. I'm known for transforming complex challenges into actionable insights through innovative AI-driven tools, focusing on making AI accessible, scalable, and effective, while aligning with business objectives to achieve precision-driven results.
𝗦𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝘀 𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀:
- 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Proficient in various algorithms and architectures, including SVMs, random forests, CNNs, RNNs, and transformers.
- 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴: Experienced in advanced methods like ARIMA, SARIMA, Prophet, and LSTM to enhance forecasting pipelines.
- 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴: Skilled in crafting models that drive decision-making and business growth.
- 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 & 𝗧𝗼𝗼𝗹𝘀: Experienced in Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, Keras, and data visualization tools like Matplotlib, Seaborn, and Tableau.
𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝗔𝗰𝗰𝗼𝗺𝗽𝗹𝗶𝘀𝗵𝗺𝗲𝗻𝘁𝘀:
- 𝗔𝗟𝗫 𝗔𝗳𝗿𝗶𝗰𝗮: As a Senior Data Scientist, I developed and deployed LLM-based applications to revolutionize educational processes within the ALX initiative. I created scalable solutions to make education more affordable and accessible by leveraging state-of-the-art AI technologies and collaborated with interdisciplinary teams to ensure alignment with educational goals.
- 𝗦𝗵𝗼𝗽𝗕𝗿𝗮𝗶𝗻: In my role as Lead Data Scientist, I enhanced the demand forecasting engine for restaurants, reducing the Mean Absolute Percentage Error (MAPE) from 28% to less than 25%. I led a chatbot assistant project using LLM techniques (GPT-4, LLaMA 2, LangChain) and engineered RESTful APIs to integrate the forecasting engine with restaurant management systems.
- 𝗝𝘂𝗺𝗶𝗮 𝗚𝗿𝗼𝘂𝗽: As a Senior Data Scientist, I optimized the customer service verification process, reducing the workforce budget by 92%. I enhanced the cash-on-delivery mechanism, decreasing rejection/cancellation rates by 12%, and executed data pipelines on Dataiku, from data gathering to model deployment.
- 𝗨𝗽𝘄𝗼𝗿𝗸: Achieved Top-Rated status as a freelance Data Scientist and Machine Learning Engineer. Developed a Parkinson's disease risk predictive model with 75% accuracy and created instructional material for SkillSoft on Data Science and Machine Learning on AWS.
- 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗲 (𝗜𝗧𝗜): As a Teaching Assistant, I reviewed and enhanced over 40 data science courses, mentored 450+ students in the AI Pro track on machine learning and data science projects, and delivered and designed 15+ courses in data science and machine learning.
𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻:
- 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗲 (𝗜𝗧𝗜): 9-Month Diploma in Data Science and Big Data Analytics.
- 𝗔𝗹-𝗠𝗶𝗻𝘂𝗳𝗶𝘆𝗮𝗵 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆, 𝗘𝗴𝘆𝗽𝘁: Bachelor's Degree in Electrical Engineering.
𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:
- 𝗔𝗪𝗦 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 – 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝘁𝘆
I believe in the positive impact that data can have, and I'm committed to delivering high-quality work that meets your specific needs. Whether it's forecasting, modeling, or any other data science task, I'm here to help. Feel free to reach out to discuss how I can assist you with your project!
- AI Agent Development
- Artificial Neural Network
- Machine Learning
- Python
- Gradient Boosting
- Unsupervised Learning
- Data Science
- Time Series Forecasting
- Data Visualization
- Blog Writing
- Data Modeling
- Analytics
- Statistical Analysis
- Predictive Analytics
- Statistics
Nikhil A.
Kolkata, India
I love Learning and Building new things - starting from a blank
whiteboard or early-stage prototype and transforming it into
something people truly value.
A Machine Learning & Artificial Intelligence enthusiast who loves to
follow his heart in order to contribute towards different ideas which
could help in creating an impact on society by working with new
products and improving them, using my strong skills in Software Engineering and Cloud Computing.
- Deep Learning
- Machine Learning
- Recommendation System
- Computer Vision
- Natural Language Processing
- Machine Learning Model
- Data Science
- App Development
- Chatbot Development
- Web Development
- Artificial Intelligence
- Cloud Computing
- Front-End Development
- Amazon Web Services
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