Pooja Sahu Email & Phone Number

Mumbai, Maharashtra, India

-Initiated outbound calls to prospective clients to effectively introduce Testriq's comprehensive QA services, resulting in increased client engagement and improved software quality outcomes.-Built and maintained a robust pipeline of potential clients through proactive outreach and follow-ups, driving business growth and achieving a significant increase in new client acquisitions.-Created impactful presentations and detailed reports by conducting thorough market research, which supported strategic decision-making and led to the identification of new business opportunities.-Developed skills to update and optimize the company’s online presence across various platforms, enhancing brand visibility and engagement, ultimately contributing to increased lead generation .

Pune, Maharashtra, India

-Participated in a data science training program covering essential concepts in statistics, machine learning, and data analysis.-Engaged in hands-on projects (Sentiment Analysis on Financial data and Electric Motor Temperature Prediction) to apply theoretical knowledge to real-world scenarios, fostering a practical understanding of data science methodologies.-Gained proficiency in utilizing industry-relevant tools and technologies.-Worked collaboratively with peers on group projects, fostering a team-oriented approach to problem-solving in data science.-Acquired a solid foundation in statistical analysis, enabling the interpretation of hypothesis testing, and drawing meaningful conclusions.-Learned machine learning techniques, including supervised and unsupervised learning, feature engineering, and model evaluation.-Learned data pre-processing techniques such as cleaning, normalization, and feature scaling to ensure data quality for modeling.-Gained proficiency in creating insightful visualizations using tools like Matplotlib, Seaborn, and Power BI to effectively communicate data trends and patterns.-Explored Natural Language Processing (NLP) concepts, learning to analyze and process textual data using libraries such as spaCy and NLTK.-Acquired practical knowledge in deploying machine learning models, ensuring a seamless transition from development to real-world applications.-Successfully completed 2 projects applying learned concepts to solve a real-world problem, demonstrating proficiency in end-to-end data science workflows.