About

Pallavi Chandra is an experienced data scientist, social science problem solver, writer, poet, teacher, and consultant with a focus on experimental design, statistical analysis, econometric and machine learning models, and program evaluation. With over 6.5 years of professional experience, including 3 years in Big Data Analytics, 3.5 years of experience in academic research, and 3 years of industrial experience in econometric modeling and machine learning, she has gained relevant experience in conducting econometric modeling and statistical analysis using R, Python, STATA, SQL, GAMS, and data visualization using R, R Shiny, and Metabase. Pallavi has also gained hands-on experience in conducting experimental designs, A/B testing, survey design, and qualitative data analysis, having designed and conducted more than 30 experiments so far. Pallavi's industrial experience in big data analytics and business intelligence has provided her with the necessary skill sets required for big data processing, data mining, and data storage. She holds a Master's in Public Policy Analysis and an undergraduate degree in Computer Science. Currently, she is working as a Senior Data Analyst II at Rapido and is looking for roles in Applied Data Science. Pallavi is passionate about learning and applying data science in real-time development projects, leveraging her knowledge of Big Data analytics (Hadoop, HBase, PySpark, Python, ETL). Pallavi has worked as a Data Engineer at Data Aces, where she loaded pharmaceutical data to Cassandra tables using JAVA API, exposed the data through SOAP protocol-based client-server architecture, and analyzed and validated the data through SQL queries through Snowflake. She has also worked as a Graduate Services Assistant at the School of Public Affairs, Arizona State University, where she performed content analysis of the park quality improvement research articles using Dedoose software and applied the text analysis results to code the park quality dataset. Pallavi's education history includes a Master of Public Policy from Arizona State University and a Bachelor of Technology in Computer Science and Engineering from VIT. Her tech stack includes Data Scientist, Research Scientist, Big Data, ML, SQL, Python, Data Engineering, test, Hadoop, ETL, Snowflake, Cassandra, Java, MySQL, NoSQL, and GCP. Her relevant experience is 5.79 years. Pallavi's resume, medium blog, book, and GitHub account can be viewed on her LinkedIn profile.