Vidushi Mishra

adm874@r.postjobfree.com 315-***-**** LinkedIn: vidushi0211 GitHub: vidushi002

EDUCATION

M.S. in Data Science, Syracuse University, GPA: 4.0/4.0 August 2019 - May 2021

Courses: Database Management, Big Data Analytics, Business Analytics, Data Visualization, Data Warehouse, Cloud Management, Financial Analytics, Natural Language Processing, Statistics, Applied Machine Learning

BTech in Computer Engineering, NMIMS University, GPA: 3.6/4.0 July 2013 – August 2017

Courses: Data Warehousing, Data Mining, Data Engineering, Predictive Modelling

PROFESSIONAL EXPERIENCE

Data Analyst Intern Xebia June 2020 - October 2020

Analyzed and identified causes of employee attrition by collaborating with 3 Talent Acquisition members remotely

Leveraged Machine Learning algorithms to combat employee attrition by predictive modeling and achieve 75% accuracy

Provided data reporting solutions to support HR team in making strategies to retain employees and minimize attrition

Business Analyst iConsult, Syracuse University March 2020 - August 2020

Generated data flows using MS Visio to analyze complex issues and illustrated data extraction process to clients

Operated as a part of scrum team of 4 to redesign databases to efficiently store and retrieve data of 1000s of customers

Developed star schema ER diagram, created SQL queries to insert data and presented distilled concepts to clients

Associate Software Engineer Accenture Solutions, Mumbai, India July 2017 - August 2018

Generated reports, interfaces, data extraction and insertion in SAP using SQL queries in the ABAP programming language

Resolved issues and data load failures by interacting with clients to assure 100% application availability

Generated revenue for clients by resolving ABAP tickets, fixing production issues, and fulfilling small requirements

Graduate Teaching Assistant Syracuse University August 2020 - December 2020

Mentored class of 70 graduate students to resolve queries and assisted professor in tasks such as grading, lectures etc.

Conducted 1:1 session to provide proper understanding of Databricks and Google Collaborator essential in coursework

TECHNICAL SKILLS

Programming: Python, R, SQL (SQL Server, MySQL, MS Access, SSIS, SSAS), SAP, SAS

Tools: Excel (Macros, pivot table, lookups, VBA), Tableau, Power BI, Spark, Google Analytics, AWS

Libraries: Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, TensorFlow, Keras

ML & Statistics: Regression, Classification, Clustering, Neural Networks, Time Series, Hypothesis Testing

ACADEMIC PROJECTS

Disease Prediction Analysis Python Data Science Machine Learning

Helped the clients to predict whether a patient has certain disease through visualization and performing data analysis

Analyzed and fine-tuned hyperparameters of Gradient Boosted & Random Forest models to improve accuracy by 4%

Customer Review Analysis ETL SQL PowerBI Data Warehouse

•Performed data modeling, generated SQL queries to structure the database and populated it using ETL(SSIS) operations

•Presented insights to business stakeholders through Microsoft Power BI and made recommendations to maximize profit

Music Box Prediction System Python PySpark Machine Learning Big Data Analytics

Built Machine Learning models to predict likelihood of user replaying a song enhancing recommendation engine results

•Performed comparison analysis and conducted extensive hyper-parameter tuning to get best accuracy of 73%

Face mask detection Python AWS CloudWatch ReactJS Cloud Computing

Developed mask detection model using TensorFlow and deployed on AWS cloud with end-to-end functionalities

Created UI using React JS to display response of API and leveraged AWS CloudWatch service to monitor applications

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