Faheem Khan

Experience

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  Private Tution

  Aug 2021 - Mar 2022

  Teacher

  As a dedicated educator, I instructed and mentored 10th-grade students for a duration of seven months, aiming to inspire and empower them in their academic journey. My responsibilities encompassed the facilitation of dynamic and interactive lessons tailored to meet the diverse learning needs of students. I meticulously crafted comprehensive course materials and assessments, ensuring alignment with educational standards and objectives.Furthermore, I prioritized the cultivation of a nurturing and inclusive classroom environment conducive to learning and growth. By fostering open communication and mutual respect, I aimed to instill confidence and enthusiasm in my students, encouraging active participation and critical thinking.Throughout my tenure, I remained committed to continuous professional development, actively seeking opportunities to refine my teaching strategies and incorporate innovative instructional techniques. By leveraging a combination of traditional and technology-driven approaches, I endeavored to enhance student engagement and comprehension.Overall, my experience as a 10th-grade teacher was characterized by a steadfast dedication to academic excellence, student well-being, and fostering a lifelong love for learning among my students. Show less

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  POSTULATE INFOTECH PVT LTD

  Jan 2023 - Mar 2023

  Data Science Intern

  During my tenure, I spearheaded the development and implementation of a sophisticated machine learning model aimed at predicting fake news with remarkable accuracy. Leveraging advanced natural language processing techniques, I engineered a robust solution capable of discerning between genuine and deceptive information sources. Through meticulous experimentation and refinement, the model achieved high levels of precision and recall, thereby empowering users with a reliable tool to combat misinformation.Additionally, I led the creation of a breast cancer classification model designed to enhance early detection and improve patient outcomes. Employing rigorous data preprocessing methodologies and strategic feature selection techniques, I optimized the model's performance to deliver accurate and timely diagnoses. By integrating cutting-edge technologies and best practices in healthcare analytics, our solution contributed significantly to the advancement of medical diagnostics, ultimately fostering better treatment strategies and patient care.Throughout these projects, I collaborated closely with interdisciplinary teams, including data scientists, domain experts, and healthcare professionals, to ensure alignment with industry standards and regulatory requirements. Furthermore, I remained dedicated to continuous learning and exploration of emerging methodologies, staying abreast of the latest advancements in machine learning and artificial intelligence. Show less

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  YBI Foundation

  Jun 2023 - Aug 2023

  During my Data Science internship, I immersed myself in diverse learning experiences, honing skills crucial to the field. I focused on mastering machine learning model deployment, ensuring seamless integration into production environments. Through guided mentorship, I gained insights into best practices, enabling me to deliver robust solutions for real-world challenges.I delved into handling large datasets, mastering techniques for efficient preprocessing and storage. Exploratory data analysis and optimization strategies deepened my understanding of data management, empowering me to extract meaningful insights. Leveraging distributed computing frameworks, I tackled big data scenarios with confidence and precision.In the realm of deep learning, I explored neural network architectures and advanced optimization algorithms. Practical experience in model tuning enabled me to develop solutions for image classification, NLP, and time series forecasting. Staying updated with the latest advancements, I equipped myself to contribute to cutting-edge AI innovation.Engaging with interdisciplinary teams, I collaborated on cross-functional projects, fostering a growth mindset focused on continuous learning. By combining technical expertise, creative problem-solving, and effective communication, I made significant contributions, laying a solid foundation for a successful career in data science and machine learning. Show less During my Data Science internship, I immersed myself in diverse learning experiences, honing skills crucial to the field. I focused on mastering machine learning model deployment, ensuring seamless integration into production environments. Through guided mentorship, I gained insights into best practices, enabling me to deliver robust solutions for real-world challenges.I delved into handling large datasets, mastering techniques for efficient preprocessing and storage. Exploratory data analysis and optimization strategies deepened my understanding of data management, empowering me to extract meaningful insights. Leveraging distributed computing frameworks, I tackled big data scenarios with confidence and precision.In the realm of deep learning, I explored neural network architectures and advanced optimization algorithms. Practical experience in model tuning enabled me to develop solutions for image classification, NLP, and time series forecasting. Staying updated with the latest advancements, I equipped myself to contribute to cutting-edge AI innovation.Engaging with interdisciplinary teams, I collaborated on cross-functional projects, fostering a growth mindset focused on continuous learning. By combining technical expertise, creative problem-solving, and effective communication, I made significant contributions, laying a solid foundation for a successful career in data science and machine learning. Show less

  • Data Science Intern

    Jul 2023 - Aug 2023

  • Data Science Intern

    Jun 2023 - Jun 2023
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  Edunet Foundation

  Aug 2023 - Oct 2023

  Artificial Intelligence Intern

  1-Machine learning fundamentals:Supervised learning: Trained a machine learning model to predict customer satisfaction with restaurants using labeled data (restaurant reviews with known customer satisfaction ratings).Unsupervised learning: Discovered patterns and trends in restaurant reviews using unsupervised learning algorithms.2-Reinforcement learning: Developed a reinforcement learning agent to learn how to generate restaurant reviews that are likely to be positively rated by customers.3-Python and scikit-learn:Used Python and scikit-learn to implement machine learning algorithms, such as logistic regression, decision trees, and random forests.Used Python libraries such as NumPy and Pandas to manipulate and analyze data.Sentiment analysis:Used NLP techniques to extract and analyze customer sentiment from restaurant reviews.Implemented a lexicon-based sentiment analysis approach, which uses a dictionary of words and phrases to assign sentiment scores to reviews.Developed a machine learning model to predict customer sentiment from restaurant reviews using NLP features.4-Machine learning model for predicting customer satisfaction:Developed a machine learning model to predict customer satisfaction with restaurants using a combination of features, including customer sentiment, restaurant ratings, and price.Trained the model on a dataset of restaurant reviews and customer satisfaction ratings.Evaluated the model's performance using accuracy, precision, recall, and F1 score metrics.5-Presentation to industry experts:Presented the project's findings and recommendations to a panel of industry experts, including restaurant owners, marketing managers, and data scientists.Received positive feedback on the project, with experts commending the model's performance and the insights gained from the sentiment analysis. Show less

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  Everlytics Data Science Pte Ltd

  Mar 2024 - now

  Machine Learning Engineer

  • Developed and implemented machine learning models to analyze and extract insights from complex datasets.• Collaborated with cross-functional teams to design and execute experiments, leveraging advanced statistical methods.• Conducted comprehensive research on emerging trends in machine learning and data science to enhance project outcomes.• Demonstrated proficiency in programming languages such as Python along with familiarity with libraries such as scikit-learn.• Upheld strict confidentiality regarding sensitive information and adhered to company policies throughout the internship period. Show less