Jaya Tiwari

I am a self-motivated learner and believe in constantly upgrading my skills to stay abreast of emerging technologies and industry trends. I thrive in collaborative environments and possess strong problem-solving and analytical abilities. I am confident that my technical expertise, combined with my passion for data science , make me a strong fit for any role in the industry.

In my 6.6 years of Professional Experience, first 3.8 years i worked for  Mahindra Satyam Computer Services and next 2.8 years with ST Ericsson, I gained comprehensive experience in both automation and manual testing. I have a proven track record of conducting end-to-end testing, including functional, regression, usability, and performance testing. I am well-versed in test management tools, including Clear Quest Test Management (CQTM), and have administered these tools to ensure smooth testing processes. My role as a CQTM Tools Administrator involved maintaining the tool, supporting users, and educating them on its functionalities. I possess a deep understanding of the telecom domain, with expertise in concepts such as GSM and GPRS. My background equips me to comprehensively test applications within this domain. Evaluating applications from the end-user's perspective is a key aspect of my approach. I am well-versed in testing concepts and methodologies, and I adhere to the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) processes to deliver reliable result. I have hands-on experience with test automation tools and scripting languages, such as Python, to automate test cases, enhance testing efficiency, and reduce manual efforts.

I have recently completed my Masters Degree in Data Science and Machine Learning from PES University Bengaluru, India. In my academic pursuits, I have gained expertise in statistical methods, machine learning algorithms, and big data tools. I am proficient in Python, MySQL, Tableau, MS Excel, machine learning and deep learning algorithm and have knowledge of SAS, R programming, Hadoop/Big Data technologies. I have successfully applied these skills to projects such as House price and temperature prediction, differential analysis of breast tumours, breast cancer detection using UNET architecture, and developing deep learning models for image classification.