KRUTARTH PATEL

adg1e9@r.postjobfree.com linkedin.com/in/krutarthpatel1997 github.com/krutarth007 973-***-**** EDUCATION

Rutgers Business School, Newark, NJ, United States Master of Information Technology and Analytics, December 2020 GPA: 4.00/4.00 Coursework: Introduction to Data Science, Analytics for Business Intelligence, Business Analytical Programming, Data Analytics and Visualization, Business Forecasting, Introduction to Software Development, Business Data Management, Statistics and Machine Learning Ahmedabad University, Ahmedabad, GJ, India

Bachelor’s of Technology in Information and Communication Technology, May 2019 TECHNICAL SKILLS

Languages and Databases : Python, R, C, Java, SQL, C++, HTML, MongoDB ML libraries and visualization : Scikit-learn, Numpy, Pandas, Keras, Tensorflow, OpenCV, Beautiful Soup, NLTK, PyTorch, PIL, Seaborn, Matplotlib, ggplot, Orange, Weka, Selenium, Regex Softwares and Frameworks : Jupyter Notebook, R studio, Tableau, MySQL, Spyder, Flask, Power BI, Visual Studio, MS Access Certifications : SQL gold badge (HackerRank), Tableau Data Scientist badge (Tableau), Machine Learning (Coursera), Deep Learning (Coursera), Google Analytics (GAA) WORK EXPERIENCE

Changing The Present, New York, NY, United States Sep 2020 - Present Data Science and Analytics Intern

Devised an automated system that utilized web scraping techniques to extract desired data from a given URL and categorize them by a specified job role.

Developed Python scripts and Shopify to improve the data transformation process and optimization on the platform. SportsID, Atlanta, GA, United States

Operations Research Analyst Intern June 2020 - Sep 2020

Researched and analyzed existing national trends of youth sports by evaluating the quality of market and competitor data reporting.

Executed all-spectrum data analysis and modeling of sports data to validate and improve results for camps in the USA to about 85%.

Fabricated a recommendation system based on location, sports, skills possessed, age, and gender for real business problems.

Led implementation of the demand planning project, delivered data summaries and weekly productivity reports to the department.

Communicated with business users to gather and define business requirements and provided technical solutions. Silver Touch Technologies, Ahmedabad, GJ, India

Machine Learning Intern Jan 2019 - May 2019

Built an Artificial Intelligence model for tender classification and summarization, which generated a final glance report (FGR) of confidential tender documents using Natural Language Processing (NLP) and Machine Learning.

Organized texts and performed basic feature engineering tasks like tokenization, stemming, lemmatization, BoW, and TF-IDF.

Applied all distinguished deep learning algorithms such as DNN, CNN, LSTM/GRU, and the best model was selected based on the AUC-ROC curve, i.e., hierarchical Recurrent Neural Networks (RNN).

Coordinated with the team members and accelerated revenue by leading the team to exceed/meet all goals, milestone dates, and deadlines through effective project management.

Achieved more than 86% model accuracy with the optimized processing time of 1.5 to 2 minutes per tender. PROJECTS

Skin cancer image classification Python, OpenCV April 2020

Gathered 10000+ images of skin pigments, including seven categories of the most happening cancers from the Kaggle dataset, and performed fundamental image processing techniques.

Performed exploratory data analysis between various factors including localization, age, gender, type of cancer.

Executed Convolution Neural Networks using adam optimizer to detect skin cancer and received the best 92% of model accuracy. eBay used car price analysis and prediction Python, Tableau September 2019

Utilized supervised (regression and classification), and unsupervised techniques to estimate the car price and achieved the best 82% accuracy with the use of the supervised learning algorithm, Support Vector Machine (SVM).

Developed multiple interactive Tableau dashboards for the profound intuition of used car performance and expenses in order to help business users to drive decision-making in savings opportunities. Currency exchange rates forecasting R, Shiny App October 2019

Gathered daily exchange rates data from the year 1995 to 2019 using web scraping and performed time series analysis.

Implemented advanced forecasting techniques such as Holt, Holt Winter, Autoregressive, and ARIMA on time-series data; moreover, based on the overall performance of the model, ARIMA(4,1,1) turned out to be the best model with the least RMSE and MAE. Diagnostic data analysis of contraceptive methods Python, Tableau September 2019

Conducted data cleansing, preprocessing, outlier detection, and then analyzed data using logistical model, linear discriminant analysis (LDA), KNN, tree classification, and random forest method to understand the prevalence of contraceptives usage.

Generated monthly and yearly country wise visualizations considering growth of the contraceptives. ACTIVITIES

Collaborated as a Teaching Assistant for Data Analytics & Decision Making course, where my responsibilities included organizing the learning environment, preparing materials and resources, grading tests, and assignments.

Promoted health awareness as a Peer Educator for the Health Promotion Division (HPD) at Rutgers University.

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