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Data Scientist

Location:
Jersey City, New Jersey, United States
Salary:
85000
Posted:
November 29, 2017

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ABHISHEK TIBREWAL

*** ******** **. *** ** Jersey City, NJ, 07307 201-***-**** ac3iyj@r.postjobfree.com tibrewal.strikingly.com SUMMARY: Graduate student with leadership and academic training at the Stevens Institute of Technology, NJ. Proven skills in project management. Well educated data scientist candidate with an insatiable intellectual curiosity; able to mine insights located within large sets of structured, semi-structured and unstructured data. Well-versed in data and quantitative analytics, statistics and machine learning. EDUCATION: Stevens Institute of Technology, Hoboken, NJ Expected December 2017 M.S (Master of Science) in Computer Science Cumulative GPA: 3.772/4.000 Coursework include: Natural Language Processing, Data Mining (Multivariate Analysis, Machine Learning Algorithms, Inferential Statistics), Cloud Computing, Cognitive Computing Amity University, Noida, India August 2012 - April 2016 Bachelor of Technology (B. Tech) in Computer Science and Engineering SKILLS AND TOOLS: • Python, R Programming, SAS, C++, Hadoop, MapReduce, AWS, SPSS Modeler, Matlab, ETL

• Statistical Analysis, Experimental Design, Watson APIs, Tableau, Anaconda, Microsoft SQL Server Studio, Microsoft Excel, Windows/Linux Flavor (Ubuntu/Debian) GitHub: https://github.com/abhishek-tibrewal

WORK EXPERIENCE: Data Scientist Intern June 2017 - August 2017 IBM, Raleigh-Durham, North Carolina

• Created a model by analyzing unstructured data using several techniques of Natural Language Processing, machine learning algorithms such as LDA, K-means for clustering, scripting model in Python; Created a Chat Bot using Watson Conversation Service; Completed several certificates and badges on Watson APIs and Data Science; practiced agile methodologies regularly Data Analyst Intern May 2015 - July 2015

Actiknow Business Consulting, New Delhi, India

• Gathered and documenting requirements from clients; Developed Tableau reports to provide clear visualizations of various industry-specific Key Performance Indicators (KPIs); Created Tableau Dashboards with interactive views and trends by adding features like Quick Filters, Parameters and sets to handle views more efficiently and provided quality results Business Analyst Intern May 2014 - July 2014

Actiknow Business Consulting, New Delhi, India

• Authored and analyzed use cases, identified requirements for project needs and suggested some changes, showed strong business analytical skill; modified SQL queries for data extraction; Utilized MS Excel in cleansing data and improving efficiency by 6-8% in projects PROJECTS: Kaggle Competition: Predicting Boston Housing Prices (Using SAS) April 2017

• Developed a model which can precisely predict housing prices; Used PCA to deal with correlation between variables and then implemented Multiple Regression; model can be used by real estate agents or customers to predict the correct price of houses with an accuracy of 83% Stevens Institute of Technology, Hoboken, NJ

Predictive Analytics for Employees Attrition (SPSS and Watson Analytics) April 2017

• Developed model using SPSS modeler; used Watson Analytics for Exploratory Data Analysis; Using this model, HR department of any company can minimize attrition by improving retention strategies and save over $5 million per year by just retaining 10% of employees Web scraping to find the best skills for Data Science (Using Python) April 2017

• Initiated the project with the idea; extracted job summary; summarize the top 5 demanding skills; using this project, candidate can work on their skills per geographic location and the job level (entry level, experienced) that can save a lot of time for them Pseudo-distributed Hadoop cluster February 2017

• Processed and analyzed over 500 MB of text file by running map reduce job in a local pseudo- distributed Hadoop Cluster on virtual machine (VMware) Analysis of Factors for Attrition (using R) December 2016

• Gathered and prepared data set, applied classification techniques such as Decision Trees to predict the major factors resulting in attrition of employee; Also, implemented the Exploratory Data Analysis to visually summarize and study the behavior (descriptive statistics) LEADERSHIP: • Treasurer: Society of Computer Science (SOCS), Stevens Institute of Technology

• Core Committee Coordinator: Amity Youth Festival, Amity University



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