About

Dhanashree Malwadkar is an experienced software engineer with a keen interest in working on data science projects using Python. Currently working as a Software Engineer at Zensar Technologies, she has made significant contributions in implementing ML algorithms, data analysis, API development, Elasticsearch, Kibana, Neo4j, and data visualization. She is proficient in frameworks like Flask and Django. Dhanashree has a strong background in data science and has worked on several projects that involved automating the appraisal process of an organization by providing automatic analysis reports and visualization features to the management/leadership teams. Her key work areas include data analysis using libraries like pandas and numpy, data visualization using libraries like matplotlib, seaborn, and mpld3, and machine learning using algorithms like Linear Regression, Gradient Boosting Regression, and XG-Boost Regression. She is also well-versed in Elasticsearch, Kibana, Neo4j, and SonarQube API integration. Prior to Zensar, Dhanashree worked as a Python Developer at Rapidera Technologies, where she gained hands-on experience in Elasticsearch, Kibana, Neo4j, and Flask. She was also responsible for data analysis, data visualization, and machine learning for the Arete project. Dhanashree holds a Master's degree in Computer Science from Modern Education Society's Nowrosjee Wadia College Arts, Science, Pune 01. She is proficient in a range of technologies, including Neo4j, Python, ML, Elastic Search, Flask, Django, Seaborn, and Pandas. With over 7 years of relevant experience, Dhanashree is a highly skilled software engineer with a passion for data science and a proven track record of delivering quality results.