Hình đại diện của ekta1203
Cờ của India Delhi, India
Làm thành viên từ 23 tháng 11, 2019
0 Đề xuất


Trực tuyến Ngoại tuyến
Ekta currently works on R and SQL for a major retail client in ascertaining price elasticity for their products and loves problem solving. She has also worked for a healthcare project where clustering, cost prediction and recommender systems were deployed in R and SAS. She has also been interned at Ministry of Tourism, India and a blog ListenData which deals with data science knowledge sharing! She is also proficient at Python and Tableau. Not only adept at coding, Ekta is dexterous at knowledge of Statistics and Machine Learning. She holds a Masters and Bachelors degree in Statistics from prestigious University of Delhi.
$4 USD/hr
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  • N/ACông việc đã Hoàn thành
  • N/AĐúng ngân sách
  • N/AĐúng hạn
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Trải nghiệm

Analytics Analyst

May 2019

Building models to predict the price elasticities of a major retail client for various products, ascertaining the impact of promotions and helping the business to solve day to day business problems. Tools deployes: R, SAS, SQL, Excel and Tableau.

Business Analyst

Aug 2018 - May 2019 (9 months)

Building models on segmentation of employees in order to predict the claims raised and hence recommend the suitable action plan. Building lucrative dashboards to make the data speak. Tools used: R, SAS, Tableau and Excel. Techniques deployed: K-means clustering, Hierarchical clustering, Linear regression, Random Forests, Recommender Systems (Apriori and Collaborative Filtering)

Giáo dục

B. Sc. (H) Statistics

2012 - 2015 (3 years)

M. Sc. Statistics

2015 - 2017 (2 years)

Bằng Cấp

Machine Learning (2018)


A detailed course on ML where various analytical concepts like Linear regression, logistic regression, anomaly detection, neural networks, clustering etc. were taught.

Neural Networks and Deep Learning (2018)


A course for introduction to NN and making others more comfortable with the nitty gritties of how NN work in detail.

Improving Deep Neural Networks (2019)


A Specialized course giving insights on how NN can be elaborated and improved using various techniques like Adam's Optimization, Momentum and Exponential Smoothing.

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