Personal details

Dharshini A. - Remote

Dharshini A.

Timezone: Chennai (UTC+5.5)

Summary

Hello,

I hope you are doing well. You are reading about a passionate, quality centric, goal orientened, mildly OCD but on the whole a curious soul. I am the first programmer from a family with a long list of doctors. I have been programming since 2005 back when I was in 8th grade and I find myself still in love with it. I have worked as an ETL developer, a Data Engineer and a Quality Analyst before I got into Artificial Intelligence, Machine Learning and Data Science. This experience definitely gave me an edge in the new and booming AIML - DS world by thrusting analytical and statiscal knowledge one gains from playing around with humongous volumes of data.

Work Experience

Senior Data Scientist
Tringapps | Dec 2020 - Present
Machine Learning
Statistics
Elasticsearch
Google BigQuery
Python 3
Google Cloud Platform
Kubernetes
Recommender Systems
Data cleanup and EDA on the job availability, required skills, available resources and corresponding skill-sets and customers who use the product. We built a recommendation system to match the resource pool to the open opportunities based on skill sets and a custom built affinity score and similarity matrix. We built an ElasticSearch data lake to offer a search engine to the recruiters looking for suitable resources. The results are sorted by relevance so the recruiters know in which order to interview the resources. The system has been reverse engineered to recommend jobs to the available resources.
Data Scientist
Yantriks | Dec 2019 - Dec 2020
Machine Learning
Statistics
Python 3
Google Cloud Platform
Kubernetes
Data Collection from Distributed Messaging Systems, Data Cleanup & ETL process to load clean data into SQL & No-SQL distributed databases, Working with ML Algorithms and Solutions, Performing Data Analytics, Building Dashboards to showcase Analytical Findings and Performance Metrics Collection all used hand -in-hand to provide logical solutioning and analytics product to Retail / E-commerce / ManLog combinatory client.