Paresh Vala

Data Analyst, Data Engineer, Certified AWS Cloud Practitioner

857-***-**** adh2u8@r.postjobfree.com linkedin.com/in/pareshvala github.com/pareshvala pareshvala.com EDUCATION

Northeastern University, Boston, MA Sep 2018 – Jul 2020 Master of Professional Studies in Data Analytics (GPA: 3.7/4.0) Teaching Assistant: ALY6015 Intermediate Analytics, INT2400 Web & Mobile Development Gujarat Technological University, Gujarat, India Sep 2014 – May 2018 Bachelor of Engineering in Information Technology (CGPA: 8.03/10.0) WORK EXPERIENCE

RedCrow Boston, MA [Link] Apr 2020 – Jul 2020

Data Analyst – Capstone Project

• Developed a Recommendation Engine through collaborative and content driven AI algorithms, to match the right investor with the right startup at the right time.

• Trained model to facilitates new users who do not have any history on the sponsor platform with more generalized recommendations.

• Built web application for the model using Flask and deployed on AWS EC2 instance. Configured AWS services like S3, IAM, Cloud-front, Route 53 for supporting web application operations. ARVI Anand, India Jul 2017 – Jun 2018

Database Analyst Intern

• Planned a database schema for mobile application and web portal to collect data from an RFID tag followed by preparing the received data for real-time and automatic updates in a MySQL database.

• Designed the SQL queries to retrieve & store data into web & mobile applications, improved system performance by 35%.

DOT NET XPERT Web Solutions Vadodara, India May 2017 – Jun 2017 Web Developer Intern

• Recognize and deployed significant web customization, reducing the average bounce rate of pages to 20%.

• Responsible for managing and scaling a website. Improved website user interfaces by standard HTML/CSS, Bootstrap practices, and A/B testing resulted in an increase of 27% in conversion rate. TECHNICAL SKILLS

Programming Languages: Python (NumPy, Pandas, Matplotlib, Scikit-learn), R (dplyr, ggplot2), HTML, CSS, JavaScript Analysis Skills: Data Cleaning, EDA, Modeling, Preprocessing, Mining, ETL, Pattern Recognition Machine Learning: Linear and Logistic Regression, Classification, Decision Trees, Predictive Modeling, KNN AWS Cloud: AWS S3, EC2, Quick Sight, Athena, VPC, RDS, RedShift BI/Dev Tools: Tableau, PowerBI, Google Analytics, MS Excel, MySQL, JIRA, Git, Docker PROJECTS

Data Visualization on ‘Corona Virus’ Tweets (Text mining, Sentiment Analysis, Visualization) Feb 2020 - May 2020

• Collected and Cleaned tweets about COVID-19 from President Trump’s Twitter handle using tweepy and text blob libraries in Python. Plant a data pipeline to automate update of dashboard on daily basis. [Link]

• Calculate subjectivity and polarity to find positive tweets followed by interactive dashboard visualization. XN Project: Sales and Fright Cost Analysis (R, MS Excel, Descriptive/Statistical Analysis) Jan 2020 – Mar 2020

• Extracted, Cleaned, and processed large scale data in Excel and Python. Executed Sales Forecasting process.

• Built interactive dashboards in PowerBI and Tableau showing trends in sales worldwide.

• Achieved an 8% cut in overall freight expense of ConMed after implementing recommendations provided. Bike Rental Prediction Model (Python, Predictive Modeling) Jan 2019 - Apr 2019

• Predicted trends in bike rentals numbers based on different weather conditions.

• Designed predictive models with an accuracy of 82% using Random Forest and Time-series approaches to predict the future number of rentals of the company.

Smart School Bus System (Web and Android application, JSON, RFID) Jun 2017 – Apr 2018

• Developed a system which automates the School bus management system and computes the appearance of students & driver automatically using the RFID card and JSON for real-time updating.

• Parents can track the bus and see forecasted Estimated Arrival Time. This provides Safety to the students and formulates transparency between school and parents.

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