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About Me
Dynamic and results-oriented Big Data Engineer with over 11 years of experience in designing and implementing scalable data architectures. Proven track record of leveraging cutting-edge technologies to extract, transform, and load vast datasets, driv...
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Portfolio Projects
Description
Technology :
Scala, Spark ( EMR/DataProc ), AWS, Redshift, GCP, BigQuery
Description :
This product is enterprise customer data platform, customized for Client (the "Client Intelligence Platform", or "CIP") that will permit Client to create a 360-degree view of its customers. In this product collect client raw data and processed in AWS and GCP environment using spark,graph-x library to identify unique customer for specific client and run aggregation on that unique customer for further analytic. All processing handled in AWS and GCP using micro services and respected output stored in redshift and Bigquery.
Role :
Work on creating python flask based micro services to trigger EMR cluster and send job details to EMR step, Implemented spark graphx library to identify unique user and maintained graph for that users.
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Technology :
Scala, MongoDB, Play Framework, Apache tika, GATE
Description :
The main focus of this products is parsing resume and analytic. Parsing in the sense of employee/consultancy upload resume and systems parsed all resume parameters and stored in DB. Employer can post jobs and employer have facility to find out top matched resumes using predefined algorithm, employer can pull resumes from other job portals. Employee can apply jobs, build analytic for displaying top matched jobs according to profile and using previous job apply history, displayed employer lists ranking wise using predefined algorithm.
Role :
Using scala and play framework created website where register user can upload resume and based on internal algorithm identified user information like email, mobile number, skill sets, experience level, organization name etc. and stored that information in MongoDB.
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Technology:
Scala, Mongodb, Play framework, HTML5, CSS3, JavaScript
Description:
It is a network monitoring solution. It collects real data in batches and can monitor private network. It can monitor Linux, Windows, vCenters, ESX, storage devices in network. It collects many parameters like CPU usage, top processes, etc. which a network administrator requires. The website displays collected data with the help of graphs.
Role :
Worked on to formatting incoming raw data, process that data and stored in MongoDB for further used, worked on designating mongodb collection structure. Implemented MongoDB sharding.
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Technologies:
Node-Js, Python, API.ai, MongoDB
Description:
This chat bot gives all tax related information to user, where customer uploads there question and answers (FAQ) in excel/CSV file format and then python code process those data remove all stop words, identify Noun, Verbs, intent in sentences and based on those data process NLP and show top matching response to user in chat box window.
Role :
Using python NLP method identified given question meaning and based on some threshold limit fetch appropriate results from data base and show to user, also created mongo collection structure.
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Integrated and processed vast datasets, reading several terabytes of data from card member profiles, merchant databases, and promotional offers datasets. Engineered and optimized on-premise clusters for large-scale data processing, handling TBs of transactional data efficiently.
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LiftLab replaces digital guesswork with new innovations in media experimentation to provide a clear, precise view of marginal spend and profit performance with power marketing, the science and data-driven confidence to maximize every dollar spent, across every channel.
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The main focus of this product is parsing resume and sending the best-matched resume to recruiters. In the parsing process, candidates upload resumes and systems parse all resume parameters and store them in the DB. Employers can post jobs and find top-matched resumes using a predefined algorithm. Candidates can apply for jobs and build analytics for displaying top-matched jobs according to the profile.
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Aerios Health has designed and built AeriosOne, a flexibly configurable clinical information services platform to support interdisciplinary clinically integrated care for medically complex and seriously ill patients, and meet the requirements for ambulatory, home-centered, residential, and all-inclusive care.
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