Personal Profile
Solution-oriented Data Science professional with academic as well as industrial experience in entire pipeline of data science projects including Data Acquisition, Machine Learning, Data Visualization and A/B testing. My experience heavily involves munging data, building & validating Machine Learning models using scikit-learn, pandas & numpy on Python and building ETL pipelines using SQL on PostgreSQL & Google Bigquery. I have also worked on computer vision projects such as face recognition and age detection using Keras and openCV.
• Built Machine Learning models to predict the probability of ticketing and cancellation using real-time airline
ticketing datasets from industry leaders and achieved AUC scores of 0.77 and 0.71
• Extracted and transformed data stored in BigQuery to use for model training and processed the output of these
models as an input to pricing and synthetic inventory engine in Revenue Management architecture
• Delivered a Proof of Concept based on Random Forest and Linear Regression for predicting the customer travel budget to deliver targeted and optimally priced travel packages
• Analysed past customer data to estimate net wealth and segment customers based on price sensitivity using clustering techniques to personalize and improve the predictions from pricing engine
• Analysed the personnel data for a physical security company to predict and reduce the attrition, delivering a 3% (~1,500K INR) increase in the profit margin
• Developed backend APIs using Node.js and MongoDB for an e-commerce store analytics dashboard projecting business specific metrics to the admin
• Analysed past daily ridership data to come up with an on-ground marketing campaign structure for newly launched routes & implemented it through leading a team of marketing executives for a last-mile transport company
Coursework in machine learning, deep learning, applied statistics, A/B testing, SQL, distributed computing
Coursework in C++, data structures, database management, algorithms, statistics and probability
• Led & trained members in non-profit and B2B partnerships, placed interns from different countries at organizations in need of international resources including community development projects
• Planned, promoted and organized all the departmental activities including fest, workshops amd seminar throughout the year
• Led a team of 5 core members and 10 volunteers to plan, promote and organize all the departmental activities including fest, workshops amd seminar throughout the year