Developer Intern Data Science

+1-201-***-****

Jersey City, New Jersey

********@*******.*** Simoni Patani LinkedIn: simonipatani

SUMMARY

Highly analytical and process oriented graduate student pursuing Masters in Data Science. Experienced in Python, R, SQL and statistical modeling; actively looking for internship opportunities. EDUCATION

Master of Science in Data Science, Stevens Institute of Technology, Hoboken, USA Expected December 2023 GPA: 3.8/4.0

Relevant Courses: Applied Machine Learning, Deep Learning, Statistical Methods, Optimization for Data Science, Big Data Technologies, Introduction to Probability

Awards: Provost’s Masters Scholarship

Bachelor of Technology in Computer Science, Vishwakarma Institute of Information Technology, India May 2022 SKILLS

Programming Skills Python, R, PySpark, SQL

Domain and Technologies Machine Learning, Data Visualization, Data Analysis, Mathematical optimization, Mathematical Modeling, Micro-services, Web APIs, Statistical Analysis, Database Management Tools and Frameworks Jupyter Notebook, Tableau, Pandas, Numpy, Keras, Scikit-learn, Tensorflow, Power BI WORK EXPERIENCE

Software Developer Intern November 2020 — June 2021 IFM electronic Pune, India

• Designed a user-friendly, highly responsive website for product recommendation system using HTML, CSS, JavaScript and VeuJS

• Developed back-end services using Python and BERT (Bidirectional Representation from Transformers) to enhance data fetch operations by 82%

• Incorporated a Deep Learning model for Product Recommendation System with 85% accuracy, minimizing human errors and solving issues via backtracking approach

ACADEMIC PROJECTS

Sentiment Analysis and Topic Extraction for US Election 2020 Tweets [Machine Learning, Sentiment Analysis, Latent Dirichlet Allocation, Natural Language Processing]

• Implemented Sentiment Analysis for automatic classification of 1.2 billion tweets into positive, negative or neutral using 2020 US presidential data of candidates Donald Trump and Joe Biden

• Conducted a thorough Exploratory data analysis on data-sets to identify grasp content of data and estimated term frequency of 30 most salient terms

• Latent Dirichlet Allocation was employed to focus on tweets written primarily in English Automation of Heat Code [Python Tkinter, MySQL]

• Created automation system to generate unique codes of material grades applying Python Tkinter GUI toolkit and MySQL

• Developed interface generates unique codes for materials provided and creates a database of all unique codes Studying the performance of Basketball Players [Data Science, Python, Power BI, Tableau, Pandas, Numpy, Jupyter Notebook]

• Deployed the NBA basketball players data to predict performance of each player with use of numpy and pandas library

• Executed Data Visualization, Data Exploration, Data Cleaning, Data Preprocessing and Data Preparation steps to improve data quality

• Presented performance details of top 10 players using Tableau Stock Price Prediction [Data Science, Python, Power BI, Tableau, Pandas, Numpy, Jupyter Notebook]

• Programmed Linear Regression Model to predict stock prices importing python’s numpy, pandas and scikitlearn libraries; achieved accuracy of 69%

• Enhanced code to handle run time errors with missing data improving efficiency by 14%

• Remodeled code to adapt prediction for various other stocks COURSES AND CERTIFICATIONS

Introduction to Big Data, UC San Diego

Programming for Everybody (Getting started with Python), University of Michigan Google Data Analytics Professional Certificate, Google Complete Machine Learning and Data Science Bootcamp 2023, Udemy

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