Saman Kai Email & Phone Number

I'm a highly motivated data scientist with a strong academic background and over 3 years of practical experience in industry. I also possess a strong ability to learn new concepts rapidly and a dedicated work ethic.My journey began with a Bachelor's degree in Electronics Engineering, where I delved into the intricate workings of computer hardware. This foundation empowered me to bridge the hardware-software gap in embedded systems development, leveraging C and C++ skills.I furthered my expertise with a Master's degree in Digital Electronic Systems from a top-ranked university, specializing in AI courses like machine learning, neural networks, speech processing and metaheuristic algorithms. This academic journey equipped me with the skills to tackle complex data problems through statistical modeling and advanced neural network architectures.I'm passionate about data visualization and exploratory data analysis (EDA) believing they unlock communication and empower stakeholders to make informed decisions. My skills in Matplotlib, Streamlit, Tableau, and PowerBI translate complex data into intuitive visualizations and interactive dashboards. I'm also captivated by leveraging machine learning and predictive modeling to uncover hidden patterns in complex data, ultimately guiding businesses towards informed decisions.Throughout my career, I've collaborated on cross-functional teams and led projects across diverse domains. These include creating monitoring dashboards, developing multiple ETL pipelines, conducting EDAs, developing recommendation systems, optimizing delivery logistics, implementing predictive models for high-delayed trips and Estimated Time of Arrival (ETA), segmenting users, clustering algorithms, and improving product categorization using text processing and string-matching techniques.Proficient in SQL, NoSQL, Python, Pandas, NumPy, and big data technologies like Apache Spark, I have expertise in data preprocessing, statistical analysis, feature engineering, large-scale dataset processing. I leverage popular ML libraries (scikit-learn, TensorFlow, Keras, PyTorch) and web frameworks (Flask, FastAPI) to build and deploy robust predictive models and implement end-to-end data pipelines. My expertise in Docker and CI/CD ensures scalable and efficient deployments.Recognizing the ever-evolving nature of data science, I'm committed to continuous learning. I actively participate in research forums, workshops, and online courses, and stay updated through books and research papers. My focus is on mastering deep learning and advanced ML techniques.

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  Data Scientist

  Snappfood

  Dec 2020 - Present