POONAM SINGH
Location: Aurora, Colorado, US Contact: 720-***-**** Email: ***************@*****.*** Professional Summary:
• Over 2 years of experience in Data Science/ Machine Learning (ML)/ Deep Learning using Python.
• Over 5 years of experience as Data Analyst using R-Programming.
• Proficient in use of statistical tools and programming languages such as Python, R, LINUX/UNIX, SQL and MATLAB.
• Clearly present complex concepts to technical or non-technical audiences by incorporating data visualizations and widgets created in Python, R and Tableau (Numpy,Pandas, Scikit-learn, Matplotlib, Seaborn and Plotly).
• Experience building models with Machine Learning and Deep learning frameworks such as TensorFlow, and Keras.
• Experienced handling and creating statistical models mostly with Python and TensorFlow on Big Data sets using cloud/cluster computing (AWS cloud computing, Google Cloud Platform, Azure, Spark).
• Extensive experience in testing SQL Server, MySQL, Db2 and Oracle databases, involved in testing back-end jobs using SQL queries to work with manipulate relational databases.
Work Experiences:
Junior Data Scientist Enhance-IT, Atlanta, GA, (June 22-Dec 23)
• Implemented various machine learning algorithms and statistical modeling such as Decision Trees, Text Analytics, Sentiment Analysis, Naive Bayes, Logistic Regression, and Linear Regression, Random Forest, Classification, Cluster analysis, using Python.
• Applied proven skills working hands on with Machine Learning, Deep Learning, Data Modeling, Business Analytics, and Data Visualization.
• Programmed in R, Python, SQL, Spark, and MatLab.
• Programmed an object recognition algorithm using Python. Mainly constructed through Jupyter notebook and Google Colab.
• Performed Exploratory Data Analysis (EDA) to analyze distributions, find correlations and gain understanding of Data.
• Interrogated analytical results to resolve algorithmic success, robustness, and validity.
• Implemented various NLP(Natural Language Processing) techniques for information extraction, topic modeling, parsing, and relationship extraction to identify text fragments.
• Built scraping modules using Scrapy, BeautifulSoup, and request libraries to extract data, including locations, discounts, and additional pricing data along with associated demographic data within specific regions.
• Exploited transfer learning with custom-built classifiers in PyTorch and TensorFlow to speed up production time and improve results.
• With the PyTorch Python API, the team built the architecture and trained the convolutional neural networks (CNN).
• Developed, evaluated, and trained a custom convolutional neural network (CNN), ANN using frameworks such as TensorFlow and Keras in Python.
Data Analyst Kumon, Denver, CO, (Oct 16 – May 22)
• Performed significant data pre-processing, data cleaning with new data.
• Performed customized R-Functions, testing and debugging.
• Worked on many different packages in R such as ggplot2, dplyr, tidyverse etc.
• Programmed using R-Studio, Center Management Software (CMS) for statistical computing and graphics. Masters (Mar 14 – Aug 16)
• Decision Methods and Modeling (Student Loan Project) using with R-Studio, Rattle
• Presentation & Visualization Data (Hospital Management Project) using Tableau, Qlik View, Many Eyes, Watson. Global Coordinator Kumon, Denver, CO, (Oct 11-Mar 14)
• Worked in the implementation, maintenance and administration of various teaching programs.
• Coordinated and performed monitoring activities to ensure programs. Teaching Assistant Denver University (Math’s Department), (Jan 09 - Mar 11)
• Worked in designing course curriculum to collaborative project work with students and faculty team of Mathematics.
• Contributed by writing code and problem-solving skills by working on complex technical issues in MATLAB.
• Worked with students in Operations Research, Microsoft Excel. QA Engineer Allahabad Bank, Kolkata, India, (Jan 06 – Nov 08)
• Performed testing activities inclusive of Functional, Integration testing, System, GUI and Regression Preparing and executing automation test scripts using QTP.
• Analyzed Test Plan, Test Cases based on Requirements and General Design Documents involved in both Manual and Automation Testing for Personal accounts module.
• Performed testing with VB, ASP, Oracle 9i, Windows 2000, QTP 9.0 Testing Engineer Axis Bank, Mumbai, India, (Jan 03 – Dec 05)
• Analyzing the Business Requirement, Created various scenarios.
• Peer Reviewed, Executed Test Cases, logged results, report defects.
• Used tools: HTML, JSP, Servlets, Oracle, Web logic 8.1 Server, Windows 2000. Educations:
• M.S. in IT with Data Analytics SNHU, NH, USA (Aug 2016)
• M.S. in Mathematics ALLAHABAD UNIVERSITY, INDIA (May 2001)
• B.S. in Mathematics, ALLAHABAD UNIVERSITY, INDIA (May 1999) Certifications:
HarvardX- Data Science: R HarvardX- Data Science: Visualization IBM- Data Science: Python IBM-SQL for Data Science with R