aishwarya gunde
Data Analyst, Commercial Data Science at Abbott
data scientist zoetis inc .
Abbott
https://www.linkedin.com/company/abbott-
• Pioneered advanced analytics techniques at APOC in understanding customer base, ordering patterns, measuring loss and declining, leveraging external market data integrated with internal data to gain insights on customer behavior, building risk models, and as a result, recommending strategies to retain at-risk and lost customers.
• Received DVP Platinum award for pioneering contribution in analytics and commercial decision making.
New York City Metropolitan Area
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Data Analyst, Commercial Data Science
Abbott
https://www.linkedin.com/company/abbott-
Performed Clinical Research analysis involving data cleaning, transformation, integration, statistical and exploratory analysis in R(Markdown, Knit for automated study reports) for assay testings.
New York City Metropolitan Area
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Data Analyst Intern
New Jersey State Police
https://www.linkedin.com/company/new-jersey-state-police
Analyzed the ballistics intelligence data of the National Integrated Ballistics Information Network (NIBIN) database established by the Bureau of Alcohol, Tobacco and Firearms and Explosives (ATF), and GunOps. Built predictive models for the range of next crime duration and location related to the same ballistics. Received fellowship award from the Rutgers Professional Science Master’s program for contributing to this project.
Hamilton, New Jersey
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Data Science Externship (Rutgers PSM)
Ortho Clinical Diagnostics
https://www.linkedin.com/company/ortho-clinical-diagnostics
Using text mining methods, analyzed the customers' unstructured complaint data to identify and cluster the problems and root causes, followed by predicting the required time period to resolve a specific subject-related complaint, to drive product insights and improve solutions.
New Brunswick, New Jersey
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Data Science Externship (Rutgers Advanced Analytics Practicum)
Master of Business and Science
Data Science and Analytics
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Rutgers University
https://www.linkedin.com/school/rutgersu/
Executive Education: Mini MBA
Digital Marketing
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Rutgers Business School
https://www.linkedin.com/school/rutgers-business-school/
Bachelor’s Degree
Information Technology
Walchand College of Engineering, Sangli
Rutgers University Professional Science Master's Program
Fellowship Award - New Jersey State Police Ballistics Forensic Project
Advance Database Engineering
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Data Mining
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Data Structures and Algorithms
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Information Storage Management
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Linear Algebra
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Statistics and Fuzzy System
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Unix Operating System
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Advanced Analytics Practicum
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Analytics for Business Intelligence
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Big Data and Cloud Computing
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Digital Marketing
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Fundamentals of Analytics
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Massive Data Mining
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Mobile App Development
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Natural Language Processing
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Principles of Finance and Accounting
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Python for Data Science
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Regression Analysis
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Science and Technology Management Capstone
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Special Problems in Business and Science
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▪Built Recurrent Neural Network (RNN) on the multivariate time series data sensors retrieved by the smartwatch.
▪Predicted indoor localization using the LSTM model by converting the time series data to supervised learning, evaluated the
model using RMSE, and rescaled the result back into original units using keras and sklearn libraries in Python.
Multivariate Time Series Forecasting for Ambient Intelligence Research
▪Predicted ratings using matrix factorization (SVD), kNN, ALS, and SlopeOne algorithms and evaluated based on RMSE, MAE, Precision, Recall and F-measure while also implementing implicit feedback learning approach using SVM in Python.
▪Implemented Hadoop MapReduce for ranking similar items and users using cosine, jaccard and pearson similarities.
▪Addressed cold start problem using co-clustering and simultaneously learning algorithms in Python.
▪Conducted text-based approach using vectorization and feature extraction on text review by Gensim, NLTK in Python.
▪Conducted image-based approach by implementing representation learning on image feature vectors using MLP in PySpark.
Product Recommendation in E-Commerce
Big Data and Cloud Computing
Predicting Success of Bank Direct Marketing Campaign
Digital Marketing
Built an Android application for maintenance request management for property managers and residents;                                  inclusive of smart and quick features, such as image capture, to file the requests and curb paper work.
Mobile App Development: Happy Abode
Analyzed economic growth of large data sets of countries based on Gross Domestic Product by implementing Regression Analysis concept using science and stats libraries in Python.
Python for Data Science: Global Economy Network and Cross Country Analysis
Managed and analyzed huge amount of video data in order to detect and alert about suspicious activities in an area through video surveillance using MATLAB.
Big Data Analysis: Detection of Suspicious Activities through Video Surveillance
https://github.com/aagunde/Big-Data-Analysis-Video-Surveillance
Udacity
Data Visualization with Tableau
Coursera
www.coursera.org
M9DNQ3HQJ2YZ
Big Data Analysis with Scala and Spark
https://www.coursera.org/account/accomplishments/verify/M9DNQ3HQJ2YZ
Rutgers Business School Executive Education
Mini-MBA in Digital Marketing
The University of Waikato
Data Mining with Weka
Johns Hopkins University School of Education
Data Scientist’s Toolbox
https://www.linkedin.com/in/harsha-polisetty
New York City Metropolitan Area
Harsha Polisetty
Data Scientist at Zoetis | Problem Solver | Strategist
https://www.linkedin.com/in/walt-mancini-2762106
Ridgewood, NJ
Walt Mancini
General Manager US Outpatient at Abbott
https://www.linkedin.com/in/sherrypudloski
Chatham, NJ
Sherry Pudloski
Senior Consultant, Former EVP, Head of Corporate Affairs and Communications at Zoetis Inc. & Chief Communications Officer at Guardian Life
https://www.linkedin.com/in/aparna-mohan-856aab103
New York City Metropolitan Area
Aparna Mohan
Business Intelligence Engineer @Amazon
https://in.linkedin.com/in/saurabh-melge-911b40168
Pune
Saurabh Melge
Software Engineer at Veritas Technologies LLC
https://www.linkedin.com/in/vrishalikulkarni
Buffalo, NY
Vrishali Kulkarni
Actively seeking job as a Data Scientist
https://www.linkedin.com/in/dasvenkatesan
Hackettstown, NJ
Das Venkatesan
Senior Data Scientist at Zoetis Inc.
https://www.linkedin.com/in/srisakthi-r-627406a3
San Francisco Bay Area
Srisakthi R.
Data Engineer
https://in.linkedin.com/in/sheetal-powar-97b015229
Kolhapur
Sheetal Powar
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https://in.linkedin.com/in/rohan-jadhav-145b6944
Sangli
Rohan Jadhav
React Native Developer
https://in.linkedin.com/in/priyanka-tukan-0ba5b2154
Kolhapur
Priyanka Tukan
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https://www.linkedin.com/in/vickie-king-97105424
Kalamazoo, MI
Vickie King
Associate Director at Zoetis
https://www.linkedin.com/in/krystinatansey
Richland, MI
Krystina Anderson
Veterinary Clinical Research Associate at Zoetis Inc.
https://www.linkedin.com/in/siddhi-doshi-442b77a2
Boston, MA
Siddhi Doshi
Student at Northeastern University
https://www.linkedin.com/in/purishubham
Greater Chicago Area
Shubham Puri
Social Insights Analyst at Vaynermedia | Data Scientist | Business Intelligence | Data Engineer | Machine Learning Practitioner | UIC | MSBA Graduate
https://www.linkedin.com/in/lianghui-li
San Francisco Bay Area
Lianghui Li
Data @ Robinhood
https://www.linkedin.com/in/shriya-rao-msba
Santa Clara, CA
Shriya Rao
Business Insights & Data Analyst at Amazon Web Services (AWS)
https://www.linkedin.com/in/namitsingh12
Plano, TX
Namit Singh
Data Nerd | Business Analyst | Data Science enthusiast
https://www.linkedin.com/in/sagarvasaikar798
New York City Metropolitan Area
Sagar Vasaikar
Actively looking for Full-Time Job opportunities Data/Business Analyst | Data Scientist | BI Analyst | Product Analyst
https://nl.linkedin.com/in/anjanagopan
Amsterdam
Anjana Gopan
Data Analyst at Material in Motion | Data Analysis | Business Intelligence
LinkedIn User
      
          



            
              
        
              
  

    
        Aishwarya is a skilled Data Scientist working in R, Python and SQL, while effectively collaborating with Sales, Marketing, Salesforce Operations, Finance and IT. She has leveraged her skills across projects of varying complexities, e.g., identifying untapped opportunities, predicting customers at risk of churning, and building algorithms to inform the development of the Customer Master.  Additionally, Aishwarya has built performance reports and dashboards in Excel and Power BI that integrated Sales and CRM (Salesforce.com) datasets.  In addition to her technical and collaborative skills, Aishwarya is proactive and innovative, often bringing forward new ideas and approaches that could lead to deeper insights for her business partners.  Christie Nelson, Ph.D.
      
          



            
              
        
              
  

    
        I have taught Aishwarya in several graduate courses, and she has worked on several research projects for me through the Rutgers MBS Externship Exchange (mbs.rutgers.edu/externships) and the MBS analytics practicum. She is very conscientious, and always produces very high quality work. 

The project that stands out is one that she and two other MBS students worked on for me in partnership with the NJ State Police Forensics Lab. This was a ballistics data analysis project, utilizing machine learning (predictive and unsupervised models), data visualization, descriptive data analysis, and data cleaning techniques. The work was so successful, that Aishwarya and her 2 teammates first presented directly to the NJ State Police, then later to a group of ~50 practitioners including the ATF, state and local law enforcement, a county prosecutor's office, the Police Foundation, the Center on Policing, CCICADA.org, and more (https://mbs.rutgers.edu/articles/ballistics-analysis-project-externship). It was then presented to NJ Ballistics Community of Interest working group meeting (May 2018). This work was most recently cited in an Aug 2018 report done by the National Crime Gun Intelligence Governing Board (https://crimegunintelcenters.org/wp-content/uploads/2018/09/CGI-Manual-Best-Practices-ATF-27-AUG-18.pdf). The long reach of her work really speaks to the quality and dedication that she put into this project, and all others that she works on. I highly recommend her!