HARSHITA REDDY EDUGUDI

608-***-**** aduvvj@r.postjobfree.com www.linkedin.com/in/harshita-edugudi github.com/harshitaaaaa EE

EDUCATION

University of Wisconsin-Madison, USA January’22 - Current Master’s in Statistics – Data Science 3.71/4.00 CGPA Amrita School of Engineering, India July’17 – June’21 Bachelor’s in Computer Science 8.60/10.00 GPA

OBJECTIVE

Seeking a career in Data Science and Machine Learning that is challenging and interesting, and lets me work on the leading tools, a job that gives me opportunities to learn, innovate and enhance my skills and strengths in conjunction with company goals and objectives SKILLS & LANGUAGES

• Languages: Python (Pandas, NumPy, sci-kit learn, Matplotlib, NLTK), SQL, R (rpart, caret, smotefamily, proc, catool), Spark

• Technical Skills: Machine Learning, Natural Language Processing, Data Structures, Cloud Computing, Statistical Inference,Excel

• Tools: GitHub, Power BI, Tableau, Google Colab, Google Cloud, AutoML PROFESSIONAL EXPERIENCE

Tiger Analytics Data Engineer SQL, Power BI August’21 – January’22

• Goal is to migrate legacy supply chain databases on to Azure cloud to simplify ecosystem and eliminate tech debt

• Worked with SMEs on requirements, analyzed stored procedures/reports & designed ETL mapping for destination tables

• Migrated ~110 legacy dashboards & ~150 tables to azure cloud to provide seamless connectivity for Nestle- USA users Tiger Analytics Data Engineer Intern Spark, Python, Tableau, Databricks Environment January’21 – August’21

• The goal is to provide data driven insights leveraging New York vehicle parking tickets data

• Analyzed vehicle parking ticket trends for the customers leveraging visualization tools and Databricks cloud environment

• Developed centralized dashboards by incorporating Big Data and Data Engineering concepts such as Data Ingestion, Data Migration, Data Validation, Data Analysis and Data Visualization Acceleron Labs Artificial Intelligence Intern Python, Natural Language Processing, Google Colab April’20 –December’20

• The goal is to Increase sales by leveraging inputs from social media and insights

• Leveraged inputs from social retail website and performed sentiment analysis to suggest most suitable products

• Utilized web scraping, natural language processing (NLP), & text-to-speech conversion to improve sales opportunities Verzeo Machine Learning Intern Machine Learning, Natural Language Processing June’19 – July’19

• The goal is to identify data driven insights between age vs accidents and text summarizer

• Developed a project on text summarizer using python and Natural Language Processing

• Built Machine Learning Algorithms to understand the correlation between Age vs. Accidents COLLEGE PROJECTS

Safe Route Predictor Python, Machine Learning December’20

• Designed a web application for women to provide safest route from source to destination

• Compiled crime statistics dataset, trained a model with KNN algorithm & K-Means clustering to map safety score to streets

• Feedback form on the application serves as an additional data input to increase efficiency of the model Credit Card Fraud Detection R programming, Machine Learning October’20 – December’20

• Analyzed numerous ML models and developed a logistic regression model and regression trees to prevent credit card fraud Pothole Tracker Google Cloud, AutoML, Natural LanguageProcessing February’20 – May’20

• Built Web based dynamic reporting system to automate the process of analyzing, classifying, and tracking potholes from user data LEADERSHIP & EXTRACURRICULAR ACTIVITIES

• Won 2nd prize/Participated in inter-college volleyball tournament

• As a Chair and Co-Chair of ACM-W Student Chapter, organized multiple events to raise awareness among students: o Conducted workshops, inter-college events and clubs to empower women in the field of computing o Conducted Hackathons partnering with corporates (Ex: GE, Cognizant, TCS, Etc.) to bring corporate world exposure o Led team of girls from freshmen and sophomore years & built the ACM-W Student website to track all college events

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