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Data Science Machine Learning

Location:
Seattle, WA
Posted:
March 04, 2024

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Resume:

EDUCATION

Seattle University, College of Science & Engineering

Master's in Data Science, GPA: 3.9/4.0, Dean's List Expected graduation date: 06/25

September 2023 – present

Seattle, WA

Amrita Vishwa Vidyapeetham, Amrita School of Engineering Bachelor's in Mechanical Engineering

Courses: Information Technology Essentials, Probability and Statistics, Numerical Methods July 2018 – June 2022

Amritapuri, India

EXPERIENCE

Assistant System Engineer, TATA Consultancy Services Specialist at PricewaterhouseCoopers (PwC) Australia

•Ensured the uninterrupted functionality of the technology infrastructure through upholding operational efficiency and elevating client satisfaction, demonstrating strong problem-solving and communication skills.

May 2022 – August 2023

Bangalore, India

•Directed, guided, facilitated, mentored, and coached junior team members, showcasing leadership and collaboration abilities.

•Designed and developed strategies for optimizing system performance and client satisfaction, highlighting organizational and adaptability skills. SKILLS

Programming Languages: Python, R, C

Big Data & Machine Learning: SQL (PostgreSQL, My SQL), MongoDB, Python (eg. scikit-learn, numpy, pandas, matplotlib), Regression Analysis, Decision Trees, K-means clustering, Principal component analysis(PCA) Data Science & Miscellaneous Technologies: A/B Testing, Data Science pipeline (cleaning, wrangling, visualization, modeling, interpretation), Statistics, Hypothesis testing.

Data Visualization: Excel, Tableau

PROJECTS

Data Analysis of Departure Delays at United Airlines Data Analysis, R

•Conducted an in-depth analysis of departure delays to improve efficiency and customer satisfaction. Utilized the nycflights13 package data, focusing on departure delays. Employed exploratory data analysis techniques and permutation tests to investigate the relationship between departure delays and various factors.

•Analyzed and presented the results through a non-technical report with graphs and tables, designed for a managerial audience. Predicting diabetes by analyzing health factors and socioeconomic indicators Python, Machine Learning

•Processed and curated BRFSS 2015 data for diabetes risk prediction, emphasizing key health indicators.

•Utilized machine learning models, including random forest and XGBoost, to classify diabetes presence. United Airlines Flight Gain Analysis Data Analysis, R

•Conducted comprehensive analysis of United Airlines flight gains using NYC Flights data.

•Applied hypothesis tests and confidence intervals to explore the impact of departure delays, airport destinations, and flight duration on net gain. Provided actionable insights for optimization.

•Presented findings in a clear and concise manner for non-technical stakeholders. Movie and TV Series Recommendation System MySQL Server, Data Management

•Currently developing a Movie and TV Series Recommendation System. Utilizing data management techniques.

•Leveraging OMDb and user reviews data for analysis. Employing text analysis and collaborative filtering methods for recommendation.

•Aiming to enhance content discoverability and user satisfaction. Currently exploring recommendation techniques such as collaborative filtering and text analysis. Goal is to present system as standalone offering usable across streaming services.

•Focusing on providing personalized and varied recommendations for increased user engagement. PUBLICATIONS

Influence of a Splitter plate in a fluid flow over triangular cylinder on Aerodynamic coefficients: A Numerical Study Ansys Gambit, Openfoam, Tecplot, Springer

Published in Advances in Fluid and Thermal Engineering, Springer Nature Singapore LEADERSHIPS AND ACTIVITIES

Global Ambassador (2023) at International Student Center, Collaborated with a diverse team to develop and execute cultural exchange and integration programs, enhancing cross-cultural understanding among students, showcasing communication and collaboration skills.

Student Coordinator at VIDYUT 2020, Spearheaded the coordination and execution of an event hosted by Amrita Vishwa Vidyapeetham in collaboration with the World Cube Association, demonstrating organizational and leadership abilities. https://www.linkedin.com/in/tejaswirupa Tejaswi https://github.Rupa com/tejaswirupa Neelapu ad330c@r.postjobfree.com 206-***-**** Seattle, WA

Tejaswi Rupa Neelapu ad330c@r.postjobfree.com



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