Python,R,Machine Learning,SQL,AWS

SHREEYA GADRE

+1-857-***-**** *****.**@*****.***.*** https://www.linkedin.com/in/shreeya-gadre/ https://github.com/shreeya07 Education:

Northeastern University, Boston, MA. Sep 2018 – Apr 2020 Masters in Analytics. GPA: 3.75/4.00

Relevant Coursework: Statistical and Predictive Modelling, Data Mining and Visualization, Machine Learning Algorithms, Data Warehousing and SQL, Leadership in Analytics, Data-Driven Decision Making, and Project Scope Management. I.E.T D.A.V. V, Indore, M.P., India. Aug 2010 - May 2014 Bachelor of Engineering in Information Technology. Skills:

• Programming Languages: Python, Java, R Programming, ABAP.

• Tools: Advanced Excel, Tableau, Power-BI, SharePoint, JIRA Citrix, HPQC.

• Database Technologies: MySQL, MS SQL Server.

• Machine Learning Algorithms: Linear and Logistic Regression, Decision Trees, Random Forest, Boosting, Naïve Bayes, k-Nearest, Support Vector, K-Means, and Neural Networks.

• Cloud and Big Data Technologies: AWS, Hadoop, Spark.

• Methodologies: Agile and Scrum, SDLC, Test-Driven Development, OOAD. Work Experience:

Graduate Teaching Assistant for Data Science in Python Oct 2019 – Dec 2019

• Assisted students with learning python and various techniques like Data cleaning, Data wrangling, Feature engineering, Exploratory Data Analysis and Machine Learning.

Software Developer, Accenture Jun 2014 – Jul 2018

• Performed requirement gathering and impact analysis to create technical specification.

• Performed data extraction, data cleaning, data formatting for utility billing data.

• Developed Data dictionary, Database Tables, Function Modules, ALV Reports, and Application Forms in SAP-ABAP.

• Imported and Exported data; Wrote and Implemented SQL Queries.

• Worked in Agile environment, with cross-functional teams for carrying out Agile artifacts.

• Managed various project activities like cost, scope, schedule, quality etc. through MS Project. Academic Projects:

Enterprise Database Design (MySQL)

• Analyzed enterprise requirement to design activity sequence diagram E-R Model.

• Developed a database system in MySQL and implemented SQL procedures, tables, triggers, and views. Analyzing Global SDG targets for UNICEF (Tableau, R Programming)

• Compared SDG development goals for countries with the target goal to improve the child survival rate in the future.

• Created dashboards to visualize the development goals and gathered insights for building decision. Classification of Movies from Flop to Blockbuster (Multi-class classification, NLP,Python). Performed analysis on dataset to predict categories of movies from flop to blockbuster (0-9).

• Conducted Data Cleaning, Data Pre-processing, and Exploratory data analysis in Python.

• Built Prediction Model by applying Machine Learning Algorithms (Decision Trees, Support Vector Machine, K-Nearest Neighbor, and Multi-Layer Perceptron) in Python using scikit-learn library and Keras.

• Communicated findings and insights by reporting and presentations. Twitter Sentiment Analysis (Jupyter Notebook, Natural Language Processing)

• Fetched tweets through twitter API.

• Identified various sentiments of tweets like positive, negative, neutral, racist and non-racist. Digit Recognizer (Neural Networks, Tensor Flow)

• Trained Feed Forward Neural Networks to identify handwritten digits.

• Applied activation function, correct set of weights and number of layers.

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