Chiranjeev Parsoya Email & Phone Number

Ahmedabad, Gujarat, India

Ahmedabad Area, India

Sniper AI Product: Built an recommendation engine which rank cvs with their suitability score for a given job description and vice versa.Role and Responsibility: • End to End Deployment of sniper AI for new client. It involves analysis of CV/JD, Modeling, performance evaluation. • Adding New feature in Sniper AIProject SummaryCV Recommendation • Build an recommendation engine with 90% accuracy in terms of relevant suitability score by using ML techniques, tornado, python, Solr, MongoDB, RedisJD Recommendation • Build an recommendation engine for JDs with 80% accuracy in terms relevant suitability score

Hyderabad Area, India

Habitual AI Product: An recommendation engine, which prevents the users to attrite and increase the user engagement on a particular platform.Role and Responsibility: • Client Data ingestion, sanity, exploration, Wrangling and analysis • Feature engineering, Modeling, Model Tuning • Define the Accuracy matrixProject SummaryTransaction Recommendation • Build an recommendation service for banking clients by using HPCC ECL, Python, Airflow, Superset and ML technique Transaction Classification • From Banking transaction narration find out the transaction type by using NLP techniques

Mumbai Area, India

User Persona • Built a model for the prediction of user demographics details and user interests. • Created user profile and segmentationLook-alike Audience • Find the audience (set of users) which behaviour is same with respect to some set of users provided by client.CPC, CPA, CTR Prediction • Define the CPC(cost per click), CPA(cost per acquisition) for a particular ad-zone