Machine Learning Data Analytics

NATASHA SHARMA

*******@******.*** 801-***-**** www.linkedin.com/in/natashasharma14 Albany, New York EDUCATION

University at Albany, State University of New York, Albany, NY Master of Information Science in Artificial Intelligence & Data Analytics (GPA 3.86) Expected Dec 2024

IILM University, Gurgaon, India

Master of Business Administration in Marketing (CGPA 8.98/10) Graduated: May 2021

Galgotias University, Greater Noida, India Graduated: May 2018 Bachelor of Computer Application (CGPA 9.26/10, Gold Medalist) SKILLS

Programming languages: R, Python, SQL, SAS, HTML, CSS Data Visualization: Tableau Desktop, ggplot, matplotlib and seaborn Tools: Excel (Pivot Tables, Macros, Filtering), PowerPoint, MS Word, RStudio, Jupyter Notebook, Trello Data Science: MySQL, Python Analytics, Machine learning, Oracle, PostgreSQL, Text Analytics, NLTK, NOSQL Database (MongoDB Atlas), API, Web scrapping, Microsoft Azure, Microsoft SQL Server, Azure Data Studio, Azure Machine Learning Studio, MYSQL Server Languages:

Interpersonal:

English and Hindi

Problem solver, Attention to detail, Communication, Multitasker, Team leader, Critical thinker, Hard worker, Quick learner, Presentation skills

EXPERIENCE

Graduate Ambassador - University at Albany - Albany, NY Aug 2023- present

• Participated in recruitment events on campus. Addressed inquiries from potential students through phone calls and emails and initiated contact with prospective students via phone, email, text messages, Facebook and WhatsApp.

• Conducted webinars, workshops, and participated in meetups to address inquiries from prospective students. Data Analytics Intern- IPRO, Albany, NY June 2024- July 2024

• Analyzed a complex dataset of over 1 million rows, preparing, coding, and visualizing data related to Chronic Kidney Disease (CKD) and Hemoglobin A1C (HbA1C) levels.

• Created a heatmap dashboarding suspected CKD levels for nearly 10,000 Medicare beneficiaries (n=9,974) and a geospatial map visualizing HbA1C levels for over 18,000 Medicare beneficiaries (n=18,190). Prepared the dataset for IPRO's first clinical machine learning AI model, with both the dashboards and AI model set to have direct positive impacts on patient health outcomes.

• Worked with a team of five, honing professional communication, technical proficiency, critical thinking, and problem- solving in a healthcare data environment focused on improving lives through data-driven solutions. RELEVANT PROJECTS

Credit Score Classification Project (Python) Aug - Dec 2023

• Analyzed demographic and financial data extensively, employing machine learning models such as logistic regression, decision tree, svm, bagging, and boosting from the sci-kit-learn python library.

• Enhancing decision-making processes, the developed credit score classification model resulted in improved risk assessment and, more precisely, targeted financial products for customers. Ambulance Response Time Prediction Analysis (R) Aug - Dec 2023

• Performed regression analysis on NYC EMS service data (2008-2016) for efficient ambulance response time prediction.

• Employed metrics such as Mean Standard Error, R2, Adjusted R2, and p-value to assess the impact of individual variables and identify the optimal subset of variables contributing to more reliable ambulance response time predictions. CERTIFICATIONS

• The Complete SQL Bootcamp (June 14, 2022)

• Hands-On Tableau Training for Data Science (July 7, 2022)

• Python for Data Science and Machine Learning Bootcamp (Sep 27, 2022)

• SAS – Udemy (Aug 16, 2023)

• R Programming for Data Science

(June 17, 2022)

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