Project 1: Work Force Management1. Fulfilled data analyst duties to help meet desired long-term goals which includes time series forecasting for the various clients of SutherLand2. Worked on the automation process(Data Preprocessing, Data Modelling,Data validation) of the code with the product team for time series forecasting3. Implemented a time series forecasting model from data ETL(Extract,Transform,Load) to analyze and build optimum results using Python and R across business lines and tableau dashboards for visualization of insights.Project 2 : Chat Analytics1. Collaborated with all the team members to optimize customer relationship2. Improved the customer satisfaction by identifying and assigning proper agent,based on performance metric such as NRS score,Knowledge&Expertise,Average Handling Time(AHT)3. Identified the drivers for leading promoters and factors to improve CSAT score.4. Created an elaborate text mining pipeline to clean & process large unstructured datasets to reveal high quality information and hidden features and insights using Python and machine learning techniques such as Sentiment Analysis,LDA,word2Vec

Project 1: Event Analytics in Connected Lighting System(End to End Architecture),Exploratory analysis in open Government data. Modules: 1. Exploratory Analysis in Open Government data 2. Real time API Extraction and storage in Amazon S3 3. Automation of metadata files 4. Architecture to handle the raw log data generated. 5. Anomaly detection for finding faulty light absorption of energy in night times. 6. Predictive modeling of occupancy during weekdays. Project 2: Flurry Analytics Modules: 1. Exploratory Analytics with the Application and Open Weather Data 2. Extraction, Pre-Processing and storage of data. (End to End Architecture) 3. Average Time from opening application to connection of Bridge data from Flurry data. Tools/Technologies: Cloudera Hadoop, Hive, Map Reduce, R, Tableau, Machine Learning, Statistical Methods, RESTful Architecture, Python, Data Engineering(Data collection,Storage, Preprocess(Mapreduce)), End to End architecture for bigdata Analytics.

Worked as an Android developer and built a Technology Road Map for the company