Data Software Developer

Aditi Rajendra Jain

** ***** * ******* **** N, Harrison, NJ 07029 ************@*****.*** 914-***-****

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SUMMARY

A highly motivated Information System graduate with couple of major strengths: Quick Learner & handling new challenges. I am looking for a new opportunity, to contribute strong analytical skills. Possesses precise attention to details and organization.

EDUCATION

Master of Science (MS) in Information Systems Dec 2020

Pace University New York, NY

Bachelor of Engineering (BE) in Electronics Engineering May 2016

K K Wagh Institute of Engineering & Research Center Maharashtra, India

RELEVANT COURSEWORK: Algorithms & Computing Theory, Database Management Systems, Database Design & Development of Web, Internet Computing, Big Data, Data Mining & Visualization, IS & Organizational Strategy

TECHNICAL SKILLS

Programming Exposure: C/ C++, Java, Python, PHP, HTML, CSS, SQL, ZOHO COQL, PL/SQL, Shell Scripting, GraphQL

Software & Tools: Tableau, Selenium, JIRA, Jupyter, PowerBI, Redshift, Git, MS VBA, Pandas, Android, Hadoop, Pyspark, spark

EXPERIENCE

Data Engineer Intern at Scout - New York, NY Sep – Dec 2020

Acquired new data sets by scrapping from various sources (Websites) using selenium Automation Tool & python scripting.

Managed ETL processes like scraping data from redfin platform using API, removed duplicates & uploaded it to Airtable.

Formed innovative visuals & dashboards using Tableau software as well as using Python libraries like Matplotlib, Seaborne.

Worked with Machine Learning Solutions to enhance the current process, analytics to suggest the best Agent in Real Estate.

Data Science & Analytics Intern at Forkaia - Irvine, CA June – Aug 2020

Provided information literacy regarding their startups using SWOT Analysis, followed the Agile Methodology.

Collected, analyzed data into useful strategies, identified patterns & trends in data sets using Natural Language Processing.

Formalized, Modeled & created databases for easier search, update and delete the record query using MySQL.

Data Analytics Intern at Seidenberg’s School of Computer Science & Information Systems - New York, NY Jan – May 2020

Interpreted data for a collaborative laboratory that applies STEM to the innovation of real-time water monitoring.

Prepared Linear Regression Model for prediction of future water data considering parameters like pH, salinity, temperature.

Upgraded existing Website from WordPress platform to Django Framework for better real time visualization for water data.

Trainee Software Developer at Fair Share IT Services Pvt., Ltd - Pune, India June 2016 – Dec 2018

Built Android applications for an English language school for grammar study materials in the form of multiple-choice.

Utilized XML as a front end, Java language as a backend to connect database & front end and MySQL as a database.

Created a couple of websites using HTML and CSS to enable the company to digitally connect with prospective clients.

ACADEMIC PROJECTS

COVID19 Monitoring Tool (AWS Redshift, AWS Glue, AWS Quick Sight) Spring 2021

Built solution for COVID 19 monitoring using technology for Data Warehouse Solution, ETL Solution & Data Visualization.

Hosted data in S3 bucket, extracted information using AWS Glue, loaded data to RedShift & connected to Quick Sight.

Python based Recommendation Systems Fall 2020

Designed Count Vectorization and TF-IDF vectorization techniques using scikit-learn in Python to represent Netflix dataset.

Compared recommendation algorithms including Content-based vs Collaborative-Filtering to analyze the prediction score.

Exploratory Data Analysis (Python) Spring 2020

Represented inter relationship among the attributes of the given data using Tableau Tools & eliminated unnecessary data.

Trained, Validated, and Deployed 0.33% of the given data, respectively for the predictive analysis.

Built models like Logistic Regression, Naïve Bayes, Decision Tree with accuracy more than 90% to verify false alarms.

Airlines Accuracy Prediction (Hadoop) Fall 2019

Extracted the data from a website, loaded large dataset in Hadoop in pig scripting and analyzed MapReduce.

Explored the various Machine Learning Algorithms like Naïve Bayes, Decision Tree, linear Regression to compare accuracy.

Analyzed using Logistic Regression model to predict future airline performance, achieving an accuracy rate of 90%.

Student Campus (PHP, HTML, CSS, MySQL) Spring 2019

Developed a website to store new student’s information, update existing information & delete the specific record.

The web application was written in PHP, HTML & CSS for the front end of the website for inserting the student’s data.

Implemented the MySQL database management system for storing the details of the person, accessing that documentation.

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