NAISARGI DAVE

*** ******* ** • Worcester, MA ****2 • 774-***-****

• adjplz@r.postjobfree.com• www.linkedin.com/in/naisargidave

SUMMARY

Graduate student with experience working with multinational corporations in data science, data analytics, data visualization and machine learning. Seeking a full-time opportunity as Data Scientist with Focus on Artificial Intelligence, Machine Learning, Big Data, and Data Visualization.

EDUCATION

Worcester Polytechnic Institute (WPI), Worcester, MA

MS in Data Science, GPA 3.86/4.0 Aug 2019 - May 2021

Mukesh Patel School of Technology Management and Engineering, NMIMS University, Mumbai, India

B.Tech in Electronics and Telecommunication Engineering, GPA 3.13/4 Aug 2013 - May 2017

Related Courses:

Machine Learning, Introduction to Data Science, Statistical Methods for Data Science, Data Visualization, Big Data Management, Information Retrieval and Social Web, Database Applications Development, Data Mining Business Applications.

SKILLS

Programming Languages: Python, R, SQL, HIVEQL, Scala, Java, HTML, JavaScript

Frameworks: PyTorch, MySQL, SQLite, SAP-HANA, HADOOP, MapReduce, HDFS, HIVE, PIG, Spark, MongoDB, Scikitlearn

Areas: Data Science, Data Analytics, Business Analytics, Data Visualization, Machine Learning, Statistics, Artificial Intelligence, Big Data, Database Management, Data Mining

Tools: Qlik Sense, Tableau, Anaconda, SharePoint Online, IBM Modeler, Git, JIRA, MATLAB, VISUAL STUDIO, MS O365 Apps (Planner, Forms, PowerApps, Teams, Excel, Word, PowerPoint)

INDUSTRIAL EXPERIENCE

Data Visualization Co-Op, AbbVie, Worcester, MA, USA May 2020 – Nov 2020

Change Over Application: Developed an application using SharePoint and PowerApps with the Quality Assurance team for capturing the changeover details of equipment used in drug manufacturing processes.

Dashboards:

Talent Dashboard: Represented AbbVie employee details and the acquisition, attrition rates using visualizations in a Qlik Sense Dashboard for the Strategic Operations team to monitor. Implemented data masking script using Python to handle sensitive data.

Training Dashboard: Created a dashboard for supervisors and employees across multiple departments to track and highlight upcoming and past due requirements to ensure compliance.

Developer, Reliance Industries Ltd., Mumbai, India Aug 2017 – Jun 2019

CIO Dashboard:

Created a dashboard for the CIO of Reliance to monitor performance of the teams.

Integrated data from flat files, SQL tables and SAP-HANA, modelled it and used Tableau to visualize the Key Performance Indicators (KPIs).

Text Classification:

Automated the classification of user queries entered in the Grievance Redressal Portal of Reliance by clustering and classifying them using natural language processing techniques, Naive Bayes and Support Vector Machine classifiers.

Improved the efficiency of the team by approximately 30% by automating the old manual process.

Team Ranking Scorecard:

Developed a scorecard to track the performance of several teams and rank them using 17 KPIs.

Performed statistical modelling in Python and developed visualizations using Tableau.

Procurement Spend Analysis:

Performed complex data modelling for procurement spend analysis of the organization using Hive on Hadoop - MapReduce framework. The results of the analysis were visualized using Zoomdata.

ACADEMIC PROJECTS

Melanoma Classification, Kaggle Jun 2020 – Aug 2020

Detected melanoma among images of benign and malignant skin lesions from the SIIM ISIC Melanoma Challenge Dataset.

Used EfficientNet for feature extraction, incorporated metadata, performed data augmentation, and image preprocessing to crop out regions of interest from the images. Achieved 80% accuracy.

Human Protein Classification, Kaggle Jun 2020 – Aug 2020

Performed multi-class classification to identify all the types of proteins present in the cell images from Human Protein Classification dataset.

Performed data pre-processing and data augmentation, used Transfer Learning with pre-trained ResNet50 model to make predictions.

Car Review Analysis, Worcester Polytechnic Institute, USA Jan 2020 – May 2020

Created a search engine to fetch the most relevant reviews to the given user query using BM25.

Performed topic modelling using LDA.

Generated more accurate user ratings based on Vader sentiment analysis of the user reviews.

Twitter Data Analysis, Worcester Polytechnic Institute, USA Jan 2020 – May 2020

Performed data mining of Twitter data using twitter API and tweepy library for tweets containing the keywords “Donald Trump” and “Joe Biden”.

Performed exploratory and sentiment analysis to figure out the general sentiment for each candidate and predict the winner of the 2020 presidential elections.

Travel Itinerary Application, Worcester Polytechnic Institute, USA Jan 2020 – May 2020

Developed an Entity Relationship Model and a Database using SQLite to capture the customer and travel details such as preferred transport, hotel, restaurant and tourist attraction.

Created an Android application to allow user to plan the trip and view their itinerary.

PageRank, Worcester Polytechnic Institute, USA Jan 2020 – Mar 2020

Crawled webpages using BeautifulSoup, performed text preprocessing using natural language processing (NLP) techniques.

Implemented PageRank algorithm to rank the webpages.

Skewed Join Optimization, Worcester Polytechnic Institute, USA Aug 2019 – Dec 2019

Used Apache Spark and Scala to optimize the join operation between two large data sets (13M and 0.1M records) with one of them skewed.

Human physical activity recognition model, Worcester Polytechnic Institute, USA Aug 2019 – Dec 2019

Performed feature extraction and developed a human physical activity recognition model for predicting the activity performed based on the person’s movement data

Evaluated and compared several statistical learning methods including Logistic Regression, Random Forest and Support Vector Machine.

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