Akansha Rathi Email and Phone Number

As a dedicated data science enthusiast with a robust background in software testing, I bring a unique blend of analytical skills and practical experience to the field of data science. Over the past three years, I have been involved in both automation and manual testing in the client-server domain of a 3D real-time graphic broadcasting company. My responsibilities have included creating comprehensive test scenarios and test cases, executing them with meticulous attention to detail, and ensuring the quality and reliability of software products.My testing expertise covers various methodologies, including Waterfall and Agile, and encompasses a range of testing types such as Smoke Testing, Sanity Testing, Regression Testing, Validation Testing, and Verification Testing. I have conducted Functional, Regression, Integration, Database, and Acceptance testing, and have experience with SQL integration for APIs and webpages. I also have experience in profiling and handling crash dumps using tools like UMDH, ANTS, AD Plus, and WPR, as well as audio and video testing with different cards (AJA, Decklink, and DVS) and I/O sources (NDI and SDI).In parallel, I have cultivated a deep understanding of data science, acquiring proficiency in key areas such as machine learning, deep learning, and data visualization. My data science skills include:- Machine Learning Algorithms: Supervised and Unsupervised Learning, KNN Classification, Regression techniques, Support Vector Machines, Decision Trees, Ensemble Learning, Model Selection Techniques, and Recommendation Systems.- Deep Learning: Artificial Neural Networks (ANN), TensorFlow, Keras, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs).- Text Analysis: Tokenization, Sentiment Analysis, and Naive Bayes Algorithms.- Dimensionality Reduction: Principal Component Analysis (PCA).- Image Processing: Using OpenCV for image and video processing, face and object detection.- Speech Recognition and NLP: APIs for text-to-speech and speech-to-text functionalities, and integrating ChatGPT API for building chatbots and image captioning.I have practical experience implementing these techniques in various projects, such as stock price prediction using LSTM, object detection, face recognition attendance systems, chatbot applications, and more. My testing background complements my data science skills, enabling me to meticulously validate data integrity and model accuracy.