Services

Priority DM . 2 days reply
FREE
Video meeting . 30 mins
100
Video meeting . 60 mins
1,300
Video meeting . 30 mins
100
Video meeting . 30 mins
100
Popular

About me

"Quality is about understanding customers needs and transforming them into better products, because true success lies in delivering satisfaction beyond expectations." This is the mantra which I have followed in my software testing career. With more than 15 years of experience in the field of Software testing, as a QA Manager I have the experience of building and leading a team who ensure the quality and performance of various web and mobile applications that are being accessed by millions of users every day. I follow servant leadership style and empower my team with necessary skills and expertise to make an informed decision. Technical Summary: 🗸 Expertise in various test designing techniques and creating comprehensive test plans to capture all the requirements for smoother execution at different product stages. 🗸 Proficient in creating and modifying automation frameworks using tools like Selenium and Cypress and programming languages like Python and JavaScript. 🗸 Skilled in performance testing using tools like Apache JMeter and Gatling to optimize system capabilities. 🗸 Experience in leveraging CI/CD pipelines using tools like Jenkins, Azure Devops for seamless and faster software releases. 🗸 API Testing: Hands on experience on testing Rest services using tools like Postman and Charles. 🗸 Agile & Scrum Methodologies: Strong knowledge of Agile and Scrum principles for iterative development and testing cycles. 🗸 Data Analysis & Feature Engineering: Hand on experience in analyzing datasets and applying feature engineering techniques to improve the accuracy and efficiency of machine learning models. 🗸 Data Visualization: Experienced in using data visualization tools like Matplotlib and Seaborn to generate insights and present data findings clearly and effectively. 🗸 Machine Learning and AI : Hands-on experience in building machine learning models using algorithms such as Linear Regression, Logistic Regression, Support Vector Machines, Random Forests, Naive Bayes, decision trees, and deep learning frameworks. 🧰Tools and Technologies: Selenium, Python, Pytest, Cypress, Postman, Jmeter, Gatling, Appium, Jenkins, Azure Devops, Git, Docker, Burp-suite, SQL, Charles, Jira, Zephyr. 🧰ML Packages: Pandas, Numpy, Matplotlib, Seaborn, Plotly, Sklearn, SciPy, Keras, Nltk, spacy, tensorflow.