EDUCATION

Ritesh Sawant

+1-908-***-**** adhvn2@r.postjobfree.com 10 Paul Robeson Blvd, New Brunswick, NJ 08901 Rutgers University, New Brunswick Expected - Dec 2020 Master of Information Technology and Analytics

Relevant Courses: - Intro to AI, Optimization for Machine Learning, Business Forecasting, Data Mining, Statistics, Text Analytics St. Francis Institute of Technology, University of Mumbai, India June 2018 Bachelor of Engineering in Electronics and Telecommunication TECHNICAL SKILLS

Programming: Python, SQL, R, HTML 5, CSS, MATLAB, Pyspark, Skills: Data Wrangling, Statistical Data Analysis, Data Modelling, Data Warehousing, Big Data Analytics, Data Manipulation, Data Management, Data Science, Data Migration, Time Series Analysis Frameworks: BigQuery, Google Data Studio, Tableau 9, Git, Python, Flask, AWS, GCP, NLTK, RStudio, R ML Techniques: Decision Trees, Support Vector Machines, Predictive and Text Analytics, Clustering, Linear Regression, Random Forest, XgBoost, Unsupervised Techniques, NLP

PROFESSIONAL EXPERIENCE

Tegger - Data Science Intern - Remote, NJ Aug 2020 - Present

• Deployed a Content based Recommendations System using LDA and Jaccard Similarity on Google App Engine

• Performed RFM analysis on user base for user segmentation which led to a 25% increased conversion rate

• Improved Precision for Recommendations by 60% and performed A/B Testing on the feature

• Visualized User Insights on Google Data Studio for defining various KPIs such as User Growth, Retention Rutgers University (School of Information Sciences) - Research Assistant- New Brunswick, NJ June 2020 - Present

• Researching Systematic Bias using Natural Language Processing and Machine Learning Techniques

• Analyzed yearly Search Engine Data using AWS Sagemaker and performed various Statistical tests using Excel Rutgers University (School of Arts and Science) - Data Analyst Intern- New Brunswick, NJ Feb 2020 - May 2020

• Performed Predictive and Visual Analytics for University Big Data across different Locations

• Developed Tableau Dashboards for different Enrollment retention KPIs like YoY growth etc.

• Explored Student data across Schools and Department hierarchies on Oracle database using SQL queries Aegis School of Business - Data Science Intern - Mumbai, IN Jan 2019 – July 2019

• Successfully developed and deployed a Recommendation System and a Lead Propensity Model for the CRM system on Cloud using Stacked ML Algorithms which led to a 35% increase in conversion rate

• TA for the course Natural Language Processing and Projects in Machine Learning under Prof. Bhavik Gandhi ACADEMIC PROJECTS

Answering Risk Factor Questions using BioBERT Python, Jupyter, Nltk, PyTorch Apr 2020 – June 2020

• Question Answering model for assessing risk factor questions using BioBERT, a language representation model for the biomedical domain

Airbnb Listings Analysis PySpark, Python, Jupyter, Tableau Sep 2019 – Dec 2019

• Analyzed property listings using PySpark for showcasing scalability using various statistical methods and tests

• Predicted a balanced pricing perspective to upcoming hosts using Decision Trees and Random Forests with 75% Accuracy Amazon Wildfire Prediction RStudio, R, ARIMA, Time Series Sep 2019 – Dec 2019

• Analyzed forest fire data from 1998 to 2017 for finding trends such as Seasonality and Stationarity using Statistical tests

• Created a prediction pipeline for comparing Holts Winter, ARIMA and Naïve Moving Averages for future predictions Minesweeper AI Python, OOP Aug 2019 – Dec 2019

• Developed an Intelligent Agent to play Minesweeper at 80% win rate using Search Methods and CSP logic Recommendation System using Collaborative Deep Learning AWS, Matlab, Python Aug 2017 – Mar 2018

• Successfully implemented a Tightly coupled Deep learning method with two-way interaction between the rating information and the auxiliary information to recommend Scientific articles (CiteULike dataset)

• Reduced Recall by 40% using Relu activation Function and Mxnet Framework having high flexibility by deploying on Amazon EC2 Clusters

LEADERSHIP AND CERTIFICATIONS

• Founder and CEO – MVRK Performance Computers (2016-2018)

• IBM Data Science Professional Certificate

• Inferential Statistics –University of Michigan

• Supervisor for Nestle, India under Achievers Agency

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