Data scientist, python, sql
Resume:
DHWANI NIJHAWAN
******.********@*****.***
San Francisco, California 94131
OBJECTIVE
• Data Scientist with 4 years of experience in project work for Institutional Research as well as in IBM India executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing.
• Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to simple problems in Data Science. SKILLS
• Programming Languages: Python, R, C++, Java, C, Perl, Lisp, .NET.
• Web Technologies: HTML, CSS, PHP, WordPress, JavaScript.
• IDE: Microsoft Visual Studio, Microsoft Visio, NetBeans, Eclipse., Spyder, Anaconda, Jupyter.
• Databases: SQL Server, SQLite, PLSQL Oracle.
• Cloud Platform: AWS, Google Cloud, DataBricks.
• Big Data: Hadoop, HBase, Pig, MapReduce, HDFS.
• Machine Learning : Weka, TensorFlow.
• Data Visualization/ Business Intelligence: Tableau, Power BI, Altair.
• Data Mining, Data Analysis
RESEARCH AND DEVELOPMENT PROJECTS
Condition Monitoring using Time Series for prediction Regression Analysis using Python, Scikit-learn for house sales. Natural Language Processing Topic Modeling using LDA Gensim, LSA. Insurance Claim data EDA using Spark
Power BI Dashboard for Sentimental Analysis Report Twitter Sentimental Analysis in R
EMPLOYMENT
Soothsayer Analytics, Livonia, Michigan
Intern – Data Scientist July 2019 – April 2020
Responsibilities:
• Solve cutting edge, challenging problems working alongside a team of data scientists, analyze and develop algorithm using R, Python SQL.
• Performed data collection, preprocessing, feature engineering, data visualization and analysis on large volumes of unstructured data using Python (Scikitlearn, Matplotlib, Pandas, Numpy, Seaborn, ggplot2, dplyr).
• End-to-end product development experience in NLP/text mining techniques (Information retrieval, Topic modeling, Text Classification, Sentiment Analysis).
• Capable of engineering features using advanced ML & DL techniques such as XGBoost.
• Developed python programs that utilized techniques such as nearest neighbors, SVMs, and decision trees for both classification and regression tasks with specific datasets.
• Worked on research topics with deep learning methods such as RNN, LSTM models for text generation and classification models.
• Proficient with data visualization tools, such as Matplotlib, Seaborn, Plotly.
• Extensive knowledge on ETL and exploratory data analysis using SQL. DHWANI NIJHAWAN
******.********@*****.***
465 Burnett Ave
San Francisco, California 94131
• Experience in analyzing large datasets to find patterns and insights within structured and unstructured data.
• Detail-oriented and ability to work in multidisciplinary project environments and translation of results into actionable insights.
Institutional Research and Information Management, Eastern Michigan University, Ypsilanti, Michigan Graduate Assistant September 2017 – April 2019
Responsibilities:
• Worked on a solution for SCD (slowly changing dimensions) in Oracle database
• Used SQL developer to pull out reports of university data warehouse
• Assisted staff with WordPress maintenance of a project website
• Worked on Peer Analysis Report in Tableau for the university published on the IRIM website IBM, Global Technological Services, Bangalore, India Data Security Administrator May 2015 – August 2017 Responsibilities:
• Handled Data Security Administration for Logical (IAM) Identity and Access Management and SARM
(Security and Risk Management)
• Trained on Linux and Unix Operating systems
• ITIL V3 Foundation Certified (IBM Internal)
EDUCATION
Eastern Michigan University, Ypsilanti, Michigan
Master’s in Computer Science September 2017 – April 2019 GPA: 3.55
Completed Coursework:
• Android Application Development
• Digital Forensics
• Programming Languages
• Database Management
• Big Data
• Automata, Computability and Formal
Languages
• Automated Reasoning
• Machine Learning
• Heuristics and Artificial Intelligence
• Cloud Computing - AWS
• E-Commerce and Web Development
• Artificial Intelligence
Projects
Eastern Michigan University, Michigan, USA
Big Data – Market Basket Analysis in Hadoop
Machine Learning – Course Recommendation ALS system with TensorFlow AI – Checkers game, Rook Jumping Maze.
Cloud Computing – Designed cloud architecture for a hypothetical firm on AWS E-Commerce: Course recommendations on PHP website
Android: built various small projects including game and interactive forms on Eclipse Gujarat Technological University, India
Bachelor of Engineering (Computer Engineering) May 2010 – June 2014 CGPA: 7.79/10
Final Year Semester Average: 8.64 (SPI)
Final Year Project (Semester VII and VIII)
Organization: Samay Software, Vadodara
Project Title: Community Mirror (Carpooling, Social Hindrance Portal) Short-listed among the top 14 projects in the state by Devang Mehta Foundation. Front End: ASP.NET Back End: SQL Server 2008
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