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Data Science Grad Student at University of Delaware

Newark, DE
May 12, 2024

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Data science graduate student with a passion for applying my skills to solve complex problems. Proven ability to analyze large datasets using Python, R, and various data analytics tools, extracting actionable insights that drive informed decision-making. Successfully developed different projects with organizations like IBM. Eager to leverage these skills and a collaborative spirit to contribute to projects in the field of Data science, Artificial Intelligence and Machine learning at a leading organization. EDUCATION

• University of Delaware

Master of Science in Data Science

February-2023 – Present

Expected Graduation - December 2024 GPA: 3.20

• University of Petroleum and Energy Studies

Bachelor of Technology in Computer Science Engineering-

(Specialization in Business analytics and optimization) August 2018 – June 2022 CGPA: 3.33


• Programming Skills in Python, C, C++, R

• Cloud Experience in AWS

• Database Experience in MySQL

• Practical Experience in Microsoft Power BI, Machine Learning EXPERIENCE

SDE Intern IBM May 2021 – August 2021

• Developed a machine learning-based project as a Software Development Engineer Intern, optimizing crop selection for farmers by analyzing local environmental factors. This initiative resulted in increased yield and profitability.

• Utilized advanced data analysis techniques to create a robust model, providing precise crop recommendations. Research Assistant University of Petroleum and Energy Studies January 2020 – May 2020

• Assisted Professor Aradhana Singh in representing the University at the MIDAS 2020 International Conference on Machine Intelligence & Data Science Applications.

• Led data collection, analysis, and contributed to drafting, leading to the publication of a conference paper. Data Science Intern ICAR June 2019 – November 2019

• Bolstered the organization's research efforts in genetics and plant breeding as a Data Science Intern.

• Conducted insightful data analytics and created data visualizations on genetics and plant breeding research data. Actively participated in the software upgrade for enhanced data analysis capabilities. Technical and Public Relations Executive Microsoft Technical Community September 2018 – May 2019

• Coordinated diverse technical events, including coding challenges and hackathons, fostering a dynamic learning environment.

• Instructed and facilitated various computer science classes and intensive boot camps, elucidating complex concepts to diverse audiences. Represented the organization at prominent technical gatherings nationwide. PROJECTS

Air Quality Index and Its Impact on Asthma in California Feb 2023 – May 2023

• Implemented machine learning techniques to investigate the correlation between the AQI and asthma cases in California.

• Utilized data mining and visualization to explore the extent to which variations in air quality significantly affect the prevalence of asthma in the region.

Countvectorizer Based Movies Recommendation System January 2022 – May 2022

• Developed a movie recommendation system employing the Count Vectorizer algorithm, offering personalized movie suggestions based on user input.

UMart Shopping Portal June 2020 – October 2021

• Led the development of an e-commerce platform akin to Amazon, with a focus on seamless user-administrator interaction.

• Incorporated features such as payment processing, cart management, and real-time chat support to ensure a comprehensive online shopping experience.


• Award of Honor for excellent performance in Undergraduate studies, August 2022

• 1st Rank at School Computer science hackathon, UPES 2020

• 3rd Rank at University Hackathon 2019

• Jagran Genius Award for Performance in High school examinations, May 2018 EXTRACURRICULAR ACTIVITIES

• Conducted Event hosting in Expresso 3.0 Event at University Auditorium on November 16, 2019.

• Played as a Member of the University Basketball team in 2018-2021

• Participated as a University volunteer in teaching and counseling students in deprived areas. AAKARSH SINGH +1-302-***-****

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