Business Analyst

PRANAV S PAWASKAR

551-***-**** ***************@*****.*** https://www.linkedin.com/in/pranav-pawaskar/ EDUCATION

Rutgers Business School, Newark, New Jersey September 2018 – January 2020

• Masters’ in Information Technology and Analytics

• Relevant courses: Business Forecasting, Analytics Business Intelligence, Business Data Management, Business Analytics and Programming, IT Strategy, Project Management, Data Analytics and Decision Making Mumbai University, Mumbai, India August 2012 - May 2017

• Bachelor of Engineering in Information Technology

• Relevant Courses: Big Data Analytics, Database Management, System Software Engineering, Cloud Computing WORK EXPERIENCE

Sportstec by Hudl, India July 2017 – June 2018

Sports Analyst

• Created a database of individual teams and athletes to perform advanced analysis and generate statistics on individuals and teams to impact the performances

• Analyzed the performance of teams and athletes during training session or match and give evidence-based feedbacks for learning, improvement, effective talent acquisition and team management

• Trained and tested a machine learning model in R for predicting where player is suitable to play, attack, midfield or defense

• Lead the team of 20 analysts also recruited and trained 30 Analyst for 1 month Voyage India, India March 2015 – June 2015

Back Office Executive

• Created a database of import and export of shipment materials and analyzed it for performance measurement

• Handled Export Documents, Letters for clients, checks and daily check reconciliation statement.

• Checked the inventory, delivery of materials and guided other staffs for managing the day to day activities PROJECTS

Movie Revenue Prediction System January 2019 – December 2018

• Cleaned and processed the dataset of over 7000 movies

• Analyzed it using machine learning models such as Linear Regression, Neural Networks and Random Forest along with XGBoost and LGBoost to predict the revenue and profitability of movies before they are even released Hospitality Database Management System September 2018 – December 2018

• Created a database of 100 customers using MySQL

• Developed 5 web pages using HTML5 and linked it to database using APACHE and Python CGI

• Tested the whole connection and how the entry of customers from html to SQL works Soil Classification Support for Farming Decisions January 2017 – June 2017

• Cleaned and processed the dataset of 500 farmers in C# and reduced the execution time from1 minute to 600 milliseconds

• Developed a Machine Learning Model using ID3 algorithm that predicts crop types based on the data points provided by farmers to give optimal fertility level based on the running on historical data Search Engine January 2015 - June 2015

• Developed a search engine in Python 3.5 based on the web crawler technology.

• Leveraged Bottle web frame work using BeautifulSoup, an HTML parsing library and the Robot Exclusion Rules parser to match relevant keywords.

SKILLS

Technical skills: C++, Java, Python, R, MySQL

Analytics Tools and Software Development Tools: MS Office, AutoCAD, R Studio, Visual Studio

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