this is my resume

Arjun Kumaran
447-902-0599 | <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS> | <PRESIDIO_ANONYMIZED_URL>
Education
University of Illinois Urbana-Champaign August 2022 – May 2024
Master of Science, Information Management GPA: 3.90/4
• Relevant Course Work: Programming and Quality in Analytics, Data Mining, Advanced Topics in NLP.
Coimbatore Institute of Technology July 2017 – May 2022
Master of Science (5-Year Integrated Program), Data Science GPA: 8.23/10
• Relevant Course Work: Multivariate Data Analysis, Machine Learning, NLP, Data Privacy and Security.
Experience
Data Scientist Intern May 2020 – May 2021
Prudent AI Chennai, India
• Spearheaded the development of an Automated ’iXBRL Tagger’ leveraging a custom Named Entity Recognition model to
achieve an accuracy rate of 87% for processing 10-K and 10-Q reports.
• Engineered and executed a comprehensive pipeline utilizing AWS Textract to extract transaction details from bank statements,
yielding financial reports with an accuracy of 94% while reducing processing time by 13% compared to other OCR tools.
• Collaborated with cross-functional teams to create interactive dashboards using Plotly and Power BI, delivering key insights on
sales performance metrics that led to an 8% reduction in production costs for a global motorcycle company.
Projects
Political Misinformation Detection from RDF triples using LLMs
• Utilized GPT-4 and Llama-2 APIs to validate the accuracy of political statements by cross-referencing the statement triples
with fact-checked article triples (Politifact), thus providing contextual verification, resulting in an 88% accuracy rate in
discerning true from false claims.
Semantic Similarity Detection in QA Forums
• Achieved an accuracy of 0.85 on Semantic Similarity detection in Quora question pairs by developing an NLP pipeline using text
processing techniques, feature selection methods, machine learning models, and SBERT.
Encrypted Credit Scoring with Matrix based Homomorphic Encryption
• Implemented a Backpropagation neural network model on encrypted credit scoring data, achieving a comparable accuracy of
approximately 74% to the vanilla DNN model on non-encrypted data, indicating no loss of insight during encryption.
Exploring Factors Impacting Suicide Rates: Advanced Data Analysis and Predictive Modeling
• Employed advanced EDA techniques and performed Hypothesis testing to identify key contributing factors affecting suicide
rates and designed an ensemble model for predicting suicide rates with an RMSE of 0.371.
Technical Skills
Languages: Python (NumPy, Pandas, PySpark, PyTorch, matplotlib, Plotly, scikit-learn, NLTK, SpaCy, TensorFlow), R
(ggplot2, dplyr, tidymodels), SQL.
Tools and Technologies: Tableau, AWS, PowerBI, Jupyter Notebook, R Studio, Microsoft Excel, Github, Jira.
Data Science skills: EDA, Data Wrangling, Machine Learning, NLP, Statistical Analysis (A/B Testing, PCA, Survival Analysis,
Time Series), Data Visualization and Dashboarding.
Additional Information
Leadership Experience: Coordinated the Institution Innovation Cell, fostering a culture of innovation and entrepreneurship
within the institution, while also serving as an active member of the Datalytics Club at CIT.
Co-Curricular Activities:
• Presented a paper on ”Analysing lifetime of components using Gamma Distribution” at the national conference on machine
learning and artificial intelligence conducted at CIT with IIM Bangalore (August 2018).
• Contributed as a Technical Content Writer for ”Medium” and completed a virtual internship in Data Analytics Consulting with
KPMG.
Certifications:
• Data Analytics Professional Certification from Google and Coursera.
• SQL – MySQL for Data Analytics and Business Intelligence Certification from Udemy.
• Data Visualization with R Certification from Cognitiveclass.ai (IBM).

this is the job description 

Description
THE OPPORTUNITY

As a Data Scientist you will have the opportunity to learn and apply RMS’ methodologies to solve analytical problems using quantitative and qualitative approaches that will be critical to driving high-end business value to our clients.  This position requires an applied knowledge of Data Science and Deep Learning and the candidate demonstrating a working knowledge of SQL (or some other ETL), and Python.

 

WHO YOU’LL WORK WITH

You’ll work in our Tampa office as part of our Research & Development team, reporting to the VP of Data Science and Analytics. You will work with the Data Science team to develop data products and perform exploratory data analysis and anomaly detection. We take pride in encouraging each other’s career ambitions and you’ll find opportunities for personal development throughout our company. This is a hybrid position, working in the office 3 days a week.

 


WHAT YOU’LL DO

Implement scaled and systematic analytical solutions
Collect, transform, aggregate and create data sets for use in models
Work with large, complex data sets
Solve difficult, non-routine analysis problems, and apply advanced analytical methods as needed
Validating model performance
The ability to balance the “art and science” by solving analytical problems using quantitative and qualitative approaches that will be critical to driving high-end business value
Champion a data-driven culture and drive long-term business value creation through the development of best-in-class data science capabilities
Develop and maintain structured process documents, methodology documents and data dictionaries
Effectively and concisely articulate processes to internal and external parties
  

SKILLS AND QUALIFICATIONS

Working knowledge of statistics, economics/econometrics and machine learning, algorithms
Hands-on experience coding in Python, R, or other advanced programming
Experience working with large datasets using SQL
Exceptional organizational skills and detail oriented
Strong interpersonal and communication skills, both verbal and written
Ability to effectively manage simultaneous projects and deadlines
Bachelor’s degree in Economics, Mathematics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required
 

PREFERRED

Graduate degree, or supplementary courses in Economics, Data Science or Data Engineering

write a good cover letter as me using my resume only. mention my MS in Data Science from CIT and MS in information management. i have completed my ms in information management and my position at prudent AI was not an internship. Make sure that it doesnt look like AI generated Content and emphasize that why i am a good fit and why i wanna work there.