• Leading the team of analysts and merchandisers to boost the traffic coming to fashion category (Apparel, Footwear and Fashion Accessories) by running multiple experiments and campaigns on Paytm and Paytm Mall app • Responsible for driving the overall grid page to product description page conversion rate by providing the consumer relevant products and best deals • To track the hourly performance of various discounted sales (Festive season, Payday, Weekend bazar, End of season, Flash Sale) and provide real time insights to category teams in order to maximize the overall revenue • Developing the overall data pipeline for the upcoming new social commerce product (Paytm Bang) to help CXOs and category teams understand the business performance 

Team Lead- Growth Analytics

•	Developed Daily/Weekly/Monthly business summary reports to enable property level performance management for United States, Canada, Brazil and Mexico region
•	Built multiple web scrapers to fetch property level platform and funnel metrics from Booking.com and Expedia.com to enable property level performance comparison against the competitors in the same region
•	Developed Organic placement Index as a metric to comprehend property rank over multiple online travel agent listings and its use to boost the ranking
•	Created multiple triggers/alerts at booking level to minimize revenue loss coming through low pricing of hotels
•	Developed Booking window/Cancellation window analysis tools to understand consumer behavior difference among different types of properties



Business Analyst

Developed operational metrics derived from raw company data to track improvements in business efficiency in terms of student grades, program completion status, student defer/dropout rate, student feedback, in-class attendance, faculty feedback, faculty occupancy index and batch sentiment analysis 
• Created 100+ practice assessments for the students to emphasis more hands-on learning to get learning outcomes, developed a weekly report to track batch level adoption of the tests along with student improvement area • Defined end to end processes which resulted in: o Reducing student queries resolution time by 70% o Reducing assessment errors by 95% o Enhanced grading quality of the assessments to provide detailed feedback to the students to increase performance transparency 

Operations Analyst

Developed daily reports and dashboards for American Beverages (AmBev) to track brand health 
• Developed prediction tool for the sales for Coca-Cola in Caribbean region for the upcoming 4 weeks using Holt-Winters method and other modeling techniques 

Data Analyst

Created a portfolio for the sales account managers using the Efficient Frontier Theory by optimizing and identifying key areas of risk and returns with different customers 
• Created a prediction tool to assess the yearly new business procurement at sales executive/account manager level by analyzing the uplift in revenue and trend of marketplace KPIs 

Trainee Decision Scientist

I have 6 years of experience in writing SQL queries and fetching data to analyze business performance.

I have about 5 years of experience in developing supervised and unsupervised machine learning models in R/Python. Hands-on experience in working with clustering techniques(KNN, Kmeans), Regression Models(Linear, Multilinear, Logistic), Classification models( Decision Tree, Naive Bayes, Neural Network). Comfortable with Market Basket, RFM and Sentiment analysis techniques

Proficient in creating a story out of numbers. Skilled in creating detailed and interactive dashboards to provide data summaries and trends.

Have extensive experience in data manipulation and insights generation using Excel, R/Python.

Expertise in creating smart sheets using VBA, Pivots, Graphs, and Cell Logics

Data Scientist with 6 years of experience in Analytics industry

aman bajaj

Created a portfolio for the sales account managers using the Efficient Frontier Theory by optimizing and identifying key areas of risk and returns with different customers

Sales Portfolio Optimization

Developed prediction tool for the sales for Coca-Cola in Caribbean region for the upcoming 4 weeks using Holt-Winters method and other modeling techniques

Sales Forecasting using Time Series

Predicting whether a student will defer/drop out from a batch using logistic regression-based on-course performance, feedback, and engagement parameters

Student Deferment Reduction

Created a Naive Bayes classifier which enables the stores to optimize their sales using variables like Brand , Store type , Area Profile , Re-stock time, and product placement

Sales optimization using visual inventory

Understanding the class sentiment by analysing the feedback provided by the student during various course checkpoints

Student Sentiment analysis

Market Basket Analysis

calculating a room price using regression model by incorporating variables like standard room price, locality index, seasonality index, occupancy index, area type, and competitive pricing for the budget-friendly hotels in the USA

Personal details

aman B.

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