Data & Analytics Manager

• Jul 2023 - Present

Senior Analyst - Data and Product

• Oct 2021 - Jul 2023

Data Analyst

• Apr 2019 - Oct 2021

Data Analyst

• Mar 2016 - Mar 2019

• Created a Customer Segmentation Pipeline. Used PCA and k-means clustering for dimensionality reduction and segmentation. Using Naive Bayes, validated the prediction. • Using power of data and machine learning allocating marketing budget against available channels. • Creating different customer groups using clustering algorithms such as k-means clustering and hierarchical clustering. • Accurate customer segmentation and targeting is allowing company to target customers accurately and… Show more • Created a Customer Segmentation Pipeline. Used PCA and k-means clustering for dimensionality reduction and segmentation. Using Naive Bayes, validated the prediction. • Using power of data and machine learning allocating marketing budget against available channels. • Creating different customer groups using clustering algorithms such as k-means clustering and hierarchical clustering. • Accurate customer segmentation and targeting is allowing company to target customers accurately and reduce the ad spending cost which in turn increasing the revenue for the agency. An increase of 8-10% in revenue is achieved in 2018. • Forecasting success of a campaign with different groups of customers using regression • Conducting A/B test to identify which content option should be used. • Performed different analytics operations on google play and Appstore data for different categories for clients to optimize the performance of their app. Conducted sentiment analysis of the reviews to identify the user’s behavior • Researching and analyzing all the campaigns running or completed in agency to find out the patterns and insights. • Created a system which utilized the marketing data available with the agency. • Creating reports on marketing KPIs like leads, conversion rates, website traffic and social media engagement. Show less • Created a Customer Segmentation Pipeline. Used PCA and k-means clustering for dimensionality reduction and segmentation. Using Naive Bayes, validated the prediction. • Using power of data and machine learning allocating marketing budget against available channels. • Creating different customer groups using clustering algorithms such as k-means clustering and hierarchical clustering. • Accurate customer segmentation and targeting is allowing company to target customers accurately and… Show more • Created a Customer Segmentation Pipeline. Used PCA and k-means clustering for dimensionality reduction and segmentation. Using Naive Bayes, validated the prediction. • Using power of data and machine learning allocating marketing budget against available channels. • Creating different customer groups using clustering algorithms such as k-means clustering and hierarchical clustering. • Accurate customer segmentation and targeting is allowing company to target customers accurately and reduce the ad spending cost which in turn increasing the revenue for the agency. An increase of 8-10% in revenue is achieved in 2018. • Forecasting success of a campaign with different groups of customers using regression • Conducting A/B test to identify which content option should be used. • Performed different analytics operations on google play and Appstore data for different categories for clients to optimize the performance of their app. Conducted sentiment analysis of the reviews to identify the user’s behavior • Researching and analyzing all the campaigns running or completed in agency to find out the patterns and insights. • Created a system which utilized the marketing data available with the agency. • Creating reports on marketing KPIs like leads, conversion rates, website traffic and social media engagement. Show less

Data Mining Engineer

• Mar 2013 - Feb 2016

• Extracted data from different sources and performed cleaning, formatting and transforming the data. • Produced models or plans for possible mining sites. • Planned and implemented extraction systems. • Monitored and evaluated mining performance. • Data extracted as CSV / JSON files or APIs. • Extracted data from different sources and performed cleaning, formatting and transforming the data. • Produced models or plans for possible mining sites. • Planned and implemented extraction systems. • Monitored and evaluated mining performance. • Data extracted as CSV / JSON files or APIs.