Services
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 60 mins
Video meeting . 30 mins
Video meeting . 30 mins
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.