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.
XYZ
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.
Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. As such, it is not owned by us, and it is the user who retains ownership over such content.
Many factors go into creating a strong resume. Here are a few tweaks that could improve the score of this resume:
School Attended
Job Titles Held:
Degrees
