I am a data science enthusiast that thrives on adding value to a business through data science and engineering. I look for data-driven applications that have a positive impact. I also enjoy being involved in business strategy discussions and working with people from all types of backgrounds. I started my career as a Data Science Intern at Redcarpet. My primary work there included statistical analysis, feature engineering, and automating credit scores using machine learning techniques. I learned how to discover hidden information from a vast amount of data to deliver a better business product to derive insights that help to serve customers better. After that, I got the opportunity to work as a Machine Learning Engineer at Scanta. My responsibilities there included transforming natural language data into useful features, developing NLP systems according to requirements, training the developed models, and performing evaluations on different kinds of metrics.Currently, I am working as a Data Science Engineer at Greendeck/Cliff. My primary work here includes creating and maintaining data pipelines, data cleaning, and building distributed data crunching systems using stacks like Celery, Kafka, and Redis. Performing rule-based product matching using ElasticSearch and Kibana.At the end of the day, I aspire to be the happiest, the most successful, and the best version of myself.
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Data Scientist IiiJunglee GamesGurugram, Hr, In -
Applied Scientist IiJunglee Games Nov 2022 - PresentGurugram, Haryana, India -
Applied Scientist IJunglee Games Dec 2021 - Oct 2022Gurugram, Haryana, India -
Software Engineer / Data ScientistGreendeck / Cliff.Ai Nov 2020 - Dec 2021• Creating and maintaining big data pipelines for scraping data using Celery, Kafka, and Redis. • Performing data cleaning and data standardization on scraped data.• Performing rule-based product matching using ElasticSearch.• Major tech stack - python3, ElasticSearc,MongoDB,PostgreSQL,Airflow, Docker, Redis,Celery, Kibana, -
Machine Learning EngineerScanta Sep 2019 - Oct 2020Gurugaon, India• Worked on data dashboard generation by analyzing virtual assistants’ conversations to map intents and to detect anomaly.• Responsible for end to end engineering on NLP products pipelines from data mining, data cleaning, tomodeling and deployment on the cloud.• Responsible for the development of a data augmentation tool using Bert.• Used SQL Server as primary database and Redis as an in-memory database for data fetching.• Major tech stack - python3, spacy, nltk, sklearn, Docker, T-SQL, flask, redis -
Data Science InternRedcarpetup.Com Apr 2019 - Aug 2019Gurgaon, India• Worked as a data science intern to implement a solution that gives behavior scores to a loan buyer.• Used PostgreSQL to fetch data from the live data stream, performed data cleaning and feature engineering to buildrelevant features to be used to build a statistical model.• Worked on classifiers like Logistic Regression and ensemble learning using scikit-learn and python.• Deployed the model using docker on AWS.• Major tech stack - python3, sklearn, Postgresql, AWS.
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Nitika Kamboj Education Details
Frequently Asked Questions about Nitika Kamboj
What company does Nitika Kamboj work for?
Nitika Kamboj works for Junglee Games
What is Nitika Kamboj's role at the current company?
Nitika Kamboj's current role is Data scientist III.
What schools did Nitika Kamboj attend?
Nitika Kamboj attended Maharaja Surajmal Institute Of Technology, Central Board Of Secondary Education.
What skills is Nitika Kamboj known for?
Nitika Kamboj has skills like Leadership, Brainstorming, Creative.
Who are Nitika Kamboj's colleagues?
Nitika Kamboj's colleagues are Kishan Kumar, Neha Rawat, Bhargav Naidu, Anika Shukla, Vrinda Mayatra, Muskan Vats, Pankaj Soni.
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