1.𝑷𝒓𝒆𝒅𝒊𝒄𝒕𝒊𝒗𝒆 𝑺𝒂𝒇𝒆𝒕𝒚 𝑨𝒔𝒔𝒖𝒓𝒂𝒏𝒄𝒆 :- Used Predictive Analytics to help assure a continuous focus on zero incident safety by focusing on use of leading indicators to uncover hidden patterns that can be used to minimize futuresafety incidents.• Performed data cleaning and quality checks to resolve inconsistencies, missing values, and outliers.• Conducted weekly exploratory data analysis to provide valuable insights and identify patterns.• Developed a Logistic Regression model to predict the Severity of Incidents with F1 score as 76%2. 𝑮𝒓𝒐𝒘𝒕𝒉 𝑻𝒓𝒂𝒄𝒌𝒊𝒏𝒈 :- To Develop a Data Science Platform to track the key growth vectors of a software simulation company.• Collaborated with Data Engineering and Development Team to develop initial Data Pipelines.• Extracting raw data from LIC and LOG files using Python and connecting it to the data pipelines.• Built and implemented a recommendation engine to enhance product recommendations for the client

1) Work closely with the Product and growth team to built intelligent solutions for vidyakul using moengage , Bigquery and mixpanels2) Deep Dive into qualitative and quantitaive data to come up with key insights to scale our growth intiatives 3) Wear multiple hats and support the team with data analytics , user research and creative ideas on growth