# Mitali Yadav > Master's in CS and Research Assistant at UNC Charlotte Location: Berkeley, California, United States Profile: https://flows.cv/mitali UC Berkeley graduate majored in Data Science with a strong software development background. Possesses a solid grasp of machine learning algorithms and statistic modelling with a track record of utilizing Python (TensorFlow, and PyTorch) R and SQL. Skilled in statistical modelling, data preprocessing, model development, and performance optimization and adept at communicating complex technical concepts to non-technical audiences. ## Work Experience ### Software Engineer @ Juniper Networks Jan 2022 – Jan 2024 | Sunnyvale, California, United States - Formulate comprehensive test strategies for high-performance networking products, ensuring that testing efforts aligned with project objectives and quality standards. - Create detailed test plans and test cases for over 10 Release Line Items, ensuring full coverage of functional and non-functional requirements while adhering to industry best practices. ### Member of Data Consulting Committee @ Student Association for Applied Statistics Jan 2021 – Jan 2021 | Berkeley, California, United States - Proficiently communicated complex data concepts and insights to the client in a clear, non-technical manner, fostering a deep understanding of the solutions provided and enabling the client to make informed decisions in the global produce industry. - Achieved an RMSE of 2.29 by using XGBoost regression algorithms and optimized predictive accuracy. - -- Applied time series analysis to capture seasonality and trends in historical data, ensuring accurate and reliable forecasting results. - Collaborated closely with clients to understand their business objectives and incorporate domain knowledge into forecasting models, resulting in more actionable insights. Proposed and presented a web application to the stakeholders using Streamlit to observe other trends and commodity pairs by customizing the commodities, time range, and variable to be plotted. ### Member of Education Committee @ Student Association for Applied Statistics Jan 2020 – Jan 2020 | Berkeley, California, United States - Designed and developed course materials and curriculum for the introduction to data science course, ensuring alignment with industry standards and emerging trends in the field for over 200 students. - Delivered engaging and informative lectures and hands-on workshops on data science concepts, statistical analysis, machine learning, and data visualization and utilized real-world case studies and practical applications. - Instructed students in the use of data analysis tools and software, including Python, R, SQL, and data visualization libraries, to equip them with practical skills. ### Data Analyst @ Undergraduate Fellows Program Jan 2020 – Jan 2021 | Berkeley, California, United States - Successfully built and nurtured strong, long-lasting relationships with client by actively engaging in open communication, understanding their needs, and ensuring their satisfaction throughout the project lifecycle. - Conducted in-depth statistical analysis using R and Python on a comprehensive dataset encompassing 29 states of India, contributing to data-driven insights and evidence-based decision-making. - Employed various statistical methodologies, such as regression analysis, hypothesis testing, and clustering, to identify trends, patterns, and correlations within the dataset. - Presented research findings at regular team meetings and contributed to academic publications, enhancing the program's reputation for producing rigorous and impactful data analysis. ### Machine Learning Engineer @ Omdena Jan 2020 – Jan 2020 | Berkeley, California, United States - Collaborated with a multidisciplinary team of data scientists, engineers, and domain experts at Omdena to address the critical issue of child malnutrition. - Developed expertise in computer vision and deep learning techniques, with a focus on the Mask RCNN algorithm. - Preprocessed and curated large datasets of children's images, ensuring quality control and consistency for model training. Implemented and fine-tuned the Mask R-CNN model for accurate segmentation of malnourished regions in children's images. - Presented the documentation of the project's methodology, results, and best practices, ensuring knowledge transfer and reproducibility. ### Instructor @ Juni Learning Jan 2019 – Jan 2020 | Berkeley - Guided students in the creation of innovative coding projects, such as games, apps, and websites, to apply their programming skills in practical ways and provided one-on-one mentoring to students. - Conceptualized and customized computer science curricula for students aged 8-18, resulting in curriculum used by several hundred students. - Delivered engaging and interactive computer science lessons, fostering a deep understanding of programming languages such as Python, Java, and Scratch. ### Teaching Assistant @ University of California, Berkeley Jan 2020 – Jan 2020 | Berkeley, California, United States DataBears Decal ### Technical Intern @ IndiSoft LLC Jan 2019 – Jan 2019 | Columbia, Maryland, United States ## Education ### Master of Science - MS in Data Science University of North Carolina at Charlotte ### Data Science Thinkful ### Bachelor of Arts - BA in Data Science University of California, Berkeley ## Contact & Social - LinkedIn: https://linkedin.com/in/mitali-yadav --- Source: https://flows.cv/mitali JSON Resume: https://flows.cv/mitali/resume.json Last updated: 2026-03-29