Aaditya_ms_resume
AADITYA KULKARNI
81 Paterson St, Jersey City NJ07307 |------------ | ------------ |------------/in/aaditya-kulkarni
EDUCATION
Stevens Institute of Technology, Hoboken, NJ May 2021
Master of Science in Information Systems GPA:3.97/4.0
Courses: Data Analytics and Machine Learning, Project Management Fundamentals, Web Mining, Multivariate Data Analysis, Financial Decision Making
Awarded Provost’s Scholarship Award for Fall 2019
University of Mumbai, Mumbai, India Aug 2014 - May 2018
Bachelor of Engineering in Electronics Engineering GPA: 7.12/10.0
SKILLS
Programming Languages: Python, T-SQL, MySQL, R
Data Platforms and Software Tools: SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Tableau, MS Excel
Data Science Packages: NumPy, Pandas, Matplotlib, Scikit-Learn, BeautifulSoup, Nltk
Knowledge Areas: Machine learning, Web Scraping, Business Intelligence, Data Warehousing, Data Analysis, Data Visualization, Requirements Gathering, Data Modelling, Data Integration, ETL, Data Pipeline
EXPERIENCE
Technical Consulting and Research, New Jersey June 2020- Present
Statistical Data Mining Analyst Intern
? Researched about data sources and collected data using web scraping techniques dedicated for a marketing campaign
? Preprocessing and analysis of text data to compile dataset according to business requirements
? Coordinated across teams and conducted weekly meetings leading operations
OPINE GROUP, Pune, India June 2018- June 2019
Business Intelligence and Analytics Intern
? Established healthy relationship with client and managed end to end data warehouse lifecycle
? Accommodated complex business requirements using technical functionalities to get desired output
? Designed data pipelines using ETL tasks in SSIS with validation scripts as per client definition
? Handled daily data load of about 300,000 rows and reduced data loading time by around 10%
? Optimized query processing to reduce processing time by more than 30%
? Automated reporting solution according to required frequency of reports and generated ad hoc reports using SQL and SSRS
? Implemented audit tables to provide data governance and maintained a log of daily inserts, updates and deletes
GO Data Science, India June 2018
Co-Founder
? Started a YouTube channel with a purpose to self-learn and explain applications of Data Science to a mass audience
? Predicted outcomes of FIFA World Cup 2018 on YouTube channel
ACADEMIC PROJECTS
Enhancement to DARPA Claims Dataset
? Implemented web scraping techniques to add features to an existing dataset
? Added columns of H-index, Total cites and Eigenfactor to gain additional information about a publication
Quora Question Pair Similarity
? Applied techniques to evaluate whether given pairs of questions deliver same meaning to identify duplicate question pairs
? Worked on advanced feature extraction using FuzzyWuzzy python library and Tf-Idf vectorization
? Achieved a Log Loss of 0.3133 using XG Boost
Wine Quality Prediction
? Built a Linear regression model to predict quality of wine and give a score on scale of 1 to 10
? Calculated coefficient of each feature to know how a change in it will affect wine quality
? RMSE scores of 0.71 and 0.62 for training and testing set respectively
Titanic Machine learning from Disaster
? Developed a model to predict if a passenger on RMS Titanic would survive or not
? Performed detailed component analysis to understand effects of features on survival
? Compared models using various techniques and achieved an accuracy of 80 percent for logistic regression
AADITYA KULKARNI
81 Paterson St, Jersey City NJ07307 |------------ | ------------ |------------/in/aaditya-kulkarni
EDUCATION
Stevens Institute of Technology, Hoboken, NJ May 2021
Master of Science in Information Systems GPA:3.97/4.0
Courses: Data Analytics and Machine Learning, Project Management Fundamentals, Web Mining, Multivariate Data Analysis, Financial Decision Making
Awarded Provost’s Scholarship Award for Fall 2019
University of Mumbai, Mumbai, India Aug 2014 - May 2018
Bachelor of Engineering in Electronics Engineering GPA: 7.12/10.0
SKILLS
Programming Languages: Python, T-SQL, MySQL, R
Data Platforms and Software Tools: SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Tableau, MS Excel
Data Science Packages: NumPy, Pandas, Matplotlib, Scikit-Learn, BeautifulSoup, Nltk
Knowledge Areas: Machine learning, Web Scraping, Business Intelligence, Data Warehousing, Data Analysis, Data Visualization, Requirements Gathering, Data Modelling, Data Integration, ETL, Data Pipeline
EXPERIENCE
Technical Consulting and Research, New Jersey June 2020- Present
Statistical Data Mining Analyst Intern
? Researched about data sources and collected data using web scraping techniques dedicated for a marketing campaign
? Preprocessing and analysis of text data to compile dataset according to business requirements
? Coordinated across teams and conducted weekly meetings leading operations
OPINE GROUP, Pune, India June 2018- June 2019
Business Intelligence and Analytics Intern
? Established healthy relationship with client and managed end to end data warehouse lifecycle
? Accommodated complex business requirements using technical functionalities to get desired output
? Designed data pipelines using ETL tasks in SSIS with validation scripts as per client definition
? Handled daily data load of about 300,000 rows and reduced data loading time by around 10%
? Optimized query processing to reduce processing time by more than 30%
? Automated reporting solution according to required frequency of reports and generated ad hoc reports using SQL and SSRS
? Implemented audit tables to provide data governance and maintained a log of daily inserts, updates and deletes
GO Data Science, India June 2018
Co-Founder
? Started a YouTube channel with a purpose to self-learn and explain applications of Data Science to a mass audience
? Predicted outcomes of FIFA World Cup 2018 on YouTube channel
ACADEMIC PROJECTS
Enhancement to DARPA Claims Dataset
? Implemented web scraping techniques to add features to an existing dataset
? Added columns of H-index, Total cites and Eigenfactor to gain additional information about a publication
Quora Question Pair Similarity
? Applied techniques to evaluate whether given pairs of questions deliver same meaning to identify duplicate question pairs
? Worked on advanced feature extraction using FuzzyWuzzy python library and Tf-Idf vectorization
? Achieved a Log Loss of 0.3133 using XG Boost
Wine Quality Prediction
? Built a Linear regression model to predict quality of wine and give a score on scale of 1 to 10
? Calculated coefficient of each feature to know how a change in it will affect wine quality
? RMSE scores of 0.71 and 0.62 for training and testing set respectively
Titanic Machine learning from Disaster
? Developed a model to predict if a passenger on RMS Titanic would survive or not
? Performed detailed component analysis to understand effects of features on survival
? Compared models using various techniques and achieved an accuracy of 80 percent for logistic regression