Data Analyst Assistant
Resume:
CHANDRAKANTH LNS
***************@*****.***
Profile Summary:
Achievement-driven professional with an experience of nearly 4.5 years.
Strong experience in data structures and algorithms,design patterns and DB.
Extensive knowledge in No-SQL databases like MongoDB.
Experience in designing REST-API for machine learning projects in production.
Worked with Dev-ops teams for creating CI/CD pipelines using jenkins.
Highest Educational Qualification:
B.Tech in Computer Science and Eng(JNTUA) (2011 – 2015)
CGPA : 7.4/10
Skills: Python,Java,Machine learning, Deep Learning, Natrual language processing, AWS, MongoDB, Django,Docker containers.
Certifications:
Post graduation certification in Machine learning and NLP from IIIT-Bangalore.
Personal Projects :
Predicting tags from stackoverflow question and answers.
Other Community Links:
LinkedIn profile https://www.linkedin.com/in/lns-chandrakanth-50b69198/
GitHub profile https://github.com/chandrakanthlns/NLP_Projects
HackerRank https://www.hackerrank.com/chandrakanthlns1
Company: Capgemini India pvt.ltd
Roles & Responsibilities: Sr. Data Analyst/
Working from: 2016 to 2019
Domains worked : Entertaiment and Finance& marketing
Project I: WB Shops (Customer segmentation & performing A/B analyze test to classify users):
Clustering the customers of the webstore to transform their key attributes that describes the customer behavior through RFM analysis.
Define metrics and conducting A/B testing results by interleaving the theory of statistical significance and confidence intervals with various tools.
Technologies: Clustering, AB testing, Python, Flask, AWS
Project II: Customer centric ticketing assistant :
Gathering and structuring huge data from infrastructure team about ticket details and placed in persisted storage..
Created binary classification system,which classifies each ticket-solution combination and rank the solutions from a given ticket.
Evaluated the model intrinsically and extrinsically measures.
Technologies: Topic modeling(LDA), NLP, REST services, Flask, Python
Company: Fractal Enterprises LLP
Roles & Responsibilities: Data scientist (Jul-2019- Present)
Project III: Building DSD and leveraging VAS services in solution platform
Scrapping dynamic web page through selenium and created auto crawlers .
Scrapped wikiHow website and transformed into entities and attributes construct of over 65000 for solutions platform.
Built data pipelines from data mining used for recommendation engines and search.
Test new data from internal and external sources while working with files of various formats including JSON.
Building docker images for our projects in order to integrate with jenkins CI/CD pipeline.
Technologies : Python,AWS S3, MongoDB, REST API, RNN, FOL,Docker, Django
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