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Data Manager

Location:
Cincinnati, OH
Posted:
July 18, 2018

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Resume:

AYANK GUPTA

■ ac6bjq@r.postjobfree.com ■ 513-***-****

■ linkedin.com/in/ayank-gupta ■ https://github.com/ayankgupta1 ■ https://public.tableau.com/profile/ayank.gupta#!/ EDUCATION

The University of Cincinnati, Carl H. Lindner College of Business, Cincinnati, Ohio Expected August 2018 Master of Science in Business Analytics GPA: 3.84/4.00 Courses: Statistical Methods/Modelling/ Computing, Data Mining/Management & Visualization, Big-Data Analytics, Optimisation, Time series Forecasting, Probability modelling

National Institute of Technology, Kurukshetra, Haryana, India July 2010-June 2014 Bachelor of Technology, Electrical Engineering GPA: 7.8/10.0 SKILLS & CERTIFICATIONS

Tools: Python R, SQL, Hadoop (Hive, MapReduce), Linux, Excel, Java, Pyspark, MATLAB, Scikit-learn, Keras, Tensor Flow, Caffe Techniques: Machine Learning (Linear/ Logistic Regression, SVM, Random Forest, Neural Nets, Clustering), Feature Engineering, Natural Language Processing, Hypothesis Testing, Principal Component Analysis, Stochastic Differential Equations (SDEs), A/B Testing, Certificates: Data Scientist with python specialization by Data Camp, Machine Learning Certification by Coursera ACADEMIC PROJECTS/PUBLICATIONS

What it takes to be Kobe! [ Sports Analytics]: Analysed Kobe Bryant shot selection and LA Lakers standing with the help of a Tableau dashboard. Kobe Bryant Dashboard

Boston Price Prediction in Python: Predicted house prices in Boston area using techniques like feature engineering, lasso regularization and cross validation method to develop a prediction model with accuracy ~87% Interview Attendance Prediction Predicted the attendance of the candidates using techniques like SVM, Random Forest, Neural Networks and XgBoost to develop prediction models with accuracy ranging from 80 to 85 % EXPERIENCE

Hill-Rom, Batesville, Indiana May 2018 –Present

Data Science Intern

• Multivariate Regression Analysis: Predicted the Superficial and Severe Hospital-acquired Pressure Injuries using the International Pressure Ulcer PrevalenceTM Survey data

• Health Monitoring System- Internet of things: Analysed the IOT data generated through respiratory vests sensors and then implemented cluster analysis on the data to determine the factors responsible for adherence in patients The University of Cincinnati, Health Science Library, Cincinnati, Ohio August 2017– April 2018 Data Science Graduate Assistant

• Co-authored (Statistical Author) a Meta-Analysis paper on Outcomes of pregnancy on women with renal transplants

• Conducted workshops on R, Python, and Statistics and led the problem session for undergrad and graduate students ZS Associates, Pune, India January 2016 – May 2017 Data Scientist

• Customer segmentation: Analysed large data sets from multiple sources to identify the KPI in the market for targeting potential customers by using techniques like k- means clustering and creating interactive dashboards to accelerate the growth of a $1.5 Billion pharmaceutical product. Revenue from the product increased by 18%

• Pre-launch targeting strategy for a drug in the sleep therapeutic area

Analysed market maps on patient treatment pathways and physician attributes using Secondary level data (APLD)

Predicted the top prescribing physicians which covered ~86% of the patient population using logistic regression

• Journey Science: Created Line of Therapy for the patients diagnosed with Narcolepsy using the claims level data using SQL to find the possible point of entry for a new indication of the drug

• Time series Analysis: - Analysed the time series data for a promotional event and provided the recommendations to have better success in conducting the programs

IBM Pvt Ltd (Global Business Services), Bangalore, India September 2014 – December 2015 IT Business Analyst

• Reviewed and solved business problems submitted via request tickets and achieved the target of 100% service level agreement compliance as part of maintenance and enhancement activities

• Designed and developed Work Flow/Lifecycle maps via Document Manager, increasing system efficiency by 25%

• Increased team productivity by 10% by training 2 new employees to troubleshoot and handle day-to-day processing HONORS & ACTIVITIES

• Toastmaster Club of Pune – Awarded the Competent Communicator and Best Speaker Certificate



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