Ridhi Shah

adhnu8@r.postjobfree.com 704-***-**** LinkedIn: in/ridhi-shah GitHub: ridhijs Website: Ridhi-Shah Charlotte, NC TECHNICAL SKILLS

Programming languages: Python, R, SAS, Stata, Java, HTML, CSS, JavaScript, Excel VBA, PHP

Parallel Computing: Apache Spark, GCP, Big Query, Apache Hive, Hadoop, NoSQL

Data Visualization: Tableau, D3.js, R Shiny, Power BI, Python(Matplotlib), R(ggplot)

Database: MySQL, MongoDB, Oracle, PostgreSQL, SAP, Informatica

Tools/Applications: Jupyter, SAS E-Guide, SAS Text-Miner, Google Analytics, Git, MS Office, Docker

Frameworks: PySpark, Scikit-Learn, NumPy, Pandas, Flask, NLTK, PyTorch, Keras, R(dplyr,caret,tidy) EXPERIENCE

Data Scientist Intern at ProLytics – Charlotte, NC Jun ’20 – Sep ‘20

• Calculated PSI/CSI scores for players playing in PGA; visualized actual and predicted scores. [www.prolytics.com]

• Built models for predicting and generating line-ups using Neural network, H2O models.

Business Analyst Intern at Digital Factory Inc. – Chicago, IL Jun ’20 – Sep ‘20

• Built PRESENT Dashboard Admin Portal to enable faster customer onboarding using Flask. [www.dgtl-factory.com]

• Created product roadmap and strategy, implementation of the project and working as a SCRUM Master for the team.

Machine Learning Intern at STEM-Away – Santa Clara, CA May ’20 – July ‘20

• Web scraped data from different forums along with meta-data, classified posts using BERT. [www.stemaway.com]

• Built Topic Recommendation System for Discourse forums and deployed using AWS.

Graduate Researcher at School of Data Science, UNC Charlotte Dec ’19 – May ‘20

• Researched on sentimental analysis of News Conferences & Companies (2000+) Transcripts.

• Extracted, cleaned, wrangled and analysed the data collected from Conferences in LexisNexis.

Marketing Analyst Intern at Qrius - Mumbai, India Jun ‘18 – Jul ‘18

• Conducted analysis of Marketing data trends and research using Python; and collaborated with [www.qrius.com] marketing stakeholders to turn discovered insights into operational knowledge and enhancement.

• Built robust dashboards and other analytics assets as Marketing thesis based on actionable insights.

Web Manager Analyst Intern at Tsara - Mumbai, India Jun ‘17- Aug ‘17

• Collected, organized, edited, and managed assets related to ongoing content updates and monitor [www.tsara.in] the progress of projects to successfully launch products on time.

• Provided reports from Google Web Analytics and recommend improvements to the site experience. EDUCATION

Master’s in Data Science & Business Analytics Aug ‘19 - May ‘21 University of North Carolina at Charlotte, NC GPA: 4.0 / 4.0 Courses: Big Data Analytics, Visual Analytics, Advanced Business Intelligence, Machine Learning

Bachelor of Technology in Computer Engineering Aug ‘16 – May ’19 K. J. Somaiya College of Engineering, Mumbai, India GPA: 3.9 / 4.0 PROJECTS

COVID Mobility Tracker - MIT BTP (Python, Flask, HTML, CSS, plotly) Github Constructed web app to help policy makers, government and vulnerable population to identify the infection rate or COVID infection risk index for their location. Leveraged Machine learning models for prediction with mobility.

Patient Health Analysis - WiDS 2020 (Python, Google Cloud Studio, Machine Learning, Neural Network) Github Predicted patient’s survival using Machine Learning and Statistical Methods on 130,000+ hospital ICU visits. Employed ensemble learning Random Forest, XGBoost and Logistic Regression with Hyperparameter tuning.

Flight Price Prediction with Deployment (Python, Flask, HTML, CSS, Heroku) WebApp

Teradata Universe Data Challenge (R, Tableau, Azure) Github Analyzed non-profit organization’s (Taproot Foundation) data and presented the findings and recommendations.

Credit Card Fraud Detection (Python) Github

Built model to recognize fraud transactions with Anomaly detection using different Machine Learning Algorithms.

Workers’ Compensation Claims Processing Analysis (Tableau, R, Excel, SAS) Report Performed data wrangling over 2.5 million records adjusted for inconsistent records. Evaluated and built models using logistic regression, clustering and decision tree, incorporating text analytics and visualized the findings.

Libromitra – Smart Inventory Software (SQL, Python, HTML, CS, PHP) Github Designed software with prediction system embedded in software for improvement in performance of business. Evaluated and built ARIMA model in Python for forecasting sales with time series analysis. PAPERS & PUBLICATIONS

Analysis on Image Compression and Encryption International Journal of Innovative Research in Computer and Communication Engineering 2018, ISSN: 2320-9801, PP: 136. (Paper)

LIBROMITRA – A system for prediction and Recommendation (Paper)

Analysis on HTML Encrypter. International Journal on Recent and Innovation Trends in Computing and Communication 2016, ISSN: 2321-8169, PP: 102 (Paper)