Detail-oriented Data Analyst having a master's degree in Data Analytics with progressive experience in analytics, data modelling, process improvement, machine learning, and developing data products. A strong team player with a great sense of responsibility who was rewarded for increasing the Customer Satisfaction Score of a project.
STORYTELLING WITH NETFLIX'S DATA
-An Exploratory Data Analysis to discover customer behaviour & buying patterns with & Python (Shiny, seaborn, matplotlib) & recommended providing Live Streaming Options to enable real-time availability of prime shows.
POTHOLE DETECTION USING DEEP LEARNING
-Built a Pothole Detection tool using deep learning (YOLO algorithm) based on Computer vision. The model achieved a Mean Average Precision of 56.77% which is better than the average accepted value using Tableau dashboards.
Classification: Visa petition filed for H1-B Visa (2010-2018)
· Developed a machine learning model on the OLFC dataset of ~4million records (2011-2018 years) using the Xgboost algorithm, based on a decision tree, to predict the case-status with an accuracy of 94%.
Weather Forecasting: Determining global temperature change
· Built a predictive model by combining NASA's global climate change & Hadcrut4 dataset, using Linear Regression model, Regression subset and Variable Selection, & predicted a 1.5C increase in the year 2030.
GHC20 Data Science track review committee member & attendee for Anita Borg Institute for Women and Technology.
Teaching professional of S'Prayas (Corporate Social Responsibility vehicle), worked on a social cause, & free education.
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