SG Analytics

- Developed an AI/ML-based NLP model using Python, NLTK, and HuggingFace for analyzing tweet sentiments and classifying emotions.
- Enhanced business understanding of customer emotions and aimed to elevate their experience.
- Created efficient data pipelines for data collection, labeling, and pre-processing.
- Cleaned and pre-processed a substantial volume of Twitter data using Python, Pandas, and NLTK, 
   ensuring high data quality.
- Implemented a state-of-the-art deep learning model BERT(Bidirectional Encoder Representations from Transformers) for multi-emotion detection.

- Developed an AI/ML-based Computer Vision model using Python, OpenCV, Object Detection, and Microsoft Azure.
- Focused on real-time parking space detection to optimize utilization and improve customer experience.
- Created streamlined data pipelines for data collection, labeling, and pre-processing.
- Conducted camera calibration and undistortion procedures as part of the pre-processing stage.
- Developed a cutting-edge object detection model (YOLOv4) for robust and accurate parking space detection in real time.

Data Scientist

- Gained proficiency in data analytics, extracting actionable insights from complex datasets.
- Developed strong Python skills for data manipulation, analysis, and visualization.
- Acquired expertise in SQL for efficient data retrieval, management, and optimization.
- Collaborated on real-world projects to deliver data-driven solutions and enhance Business Intelligence.
- Gained hands-on experience in Machine Learning (ML) and Deep Learning (DL) for predictive modeling and analysis.
- Contributed to data preprocessing, model development, and the creation of data-driven reports and presentations.

Data analytics

Passionate Data Scientist with 1.5 years of hands-on experience, driven by the desire to contribute to team success through a strong work ethic, meticulous attention to detail, and exceptional organizational skills. My journey in the field of Data Science has equipped me with a profound understanding of Python programming, along with extensive training in Machine Learning (ML), Deep Learning (DL), Computer Vision (CV), Natural Language Processing (NLP), and the fascinating world of Generative AI (GenAI).

My experiences have honed my ability to transform complex data into actionable insights, allowing me to derive value from datasets, implement cutting-edge ML and DL techniques, leverage Computer Vision for Object Detection, and utilize NLP for various applications. Enthusiastic about applying data analytics skills to tackle challenging problems, learn and grow continually, and excel in the field of Data Science

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