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Sr. Database Engineer/data Scientist Resume

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Westborough, MassachusettS

PROFESSIONAL SUMMARY:

  • Data Scientist with 5+ years of professional experience using Data Analysis, Predictive modeling, Data Visualization, Statistical Analysis
  • Involved in python supervised deep learning programs and passionate about learning unsupervised deep learning
  • Proficient in SQL(SQL server, MySQL)
  • Experienced in developing different Statistical Machine Learning, Forecasting, Text Analysis and Data Mining Solutions to the various business problems using Python, Tableau, SQL
  • Proficient in Machine Learning and Deep Learning Models (Linear, Logistic Regression, Multivariate Regression, Random Forest, K - NN, SVM, Natural Language Processing, ANN, CNN, RNN, Xgboost, LightGBM)
  • Familiar with Hadoop Ecosystem and Big Data Tools such as HDFS, HiveQL, Pig
  • Expertise in Python programming using various frameworks including Numpy, Pandas, SKlearn, Scikitlearn, Tensorflow, Keras, Pytorch, CV2

SKILL:

Languages: SQL, T-SQL, R Programming Language, Python

Tools: Microsoft SQL Server Management Studio, SQLyog, Shiny, R Studio, Spyder, Git/Github

Big Data Technologies: Hadoop, MapReduce, NOSQL (Hbase), Pig, Hive

Machine Learning Algorithms: Decision Trees, Random Forests, Linear Regression, Logistic Regression, Naive Bayes, k-Nearest Neighbors (k-NN), Neural Networks, Support Vector Machines (SVM), Gradient Descent, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)

Libraries: Pandas, Numpy, Seaborn, Scikit Learn, NLTK, Keras

WORK EXPERIENCE:

Sr. Database Engineer/Data Scientist

Confidential, Westborough, Massachusetts

Responsibilities:

  • Implement analytical and statistical tools to collect analyze and interpret large data sets. Utilize this information to develop data driven solutions to solve business problem
  • Perform statistical and predictive analysis for client business segmentation in python and use business intelligence tool (tableau) for final analysis
  • Collaborate with business unit and team to determine the long-term strategies.
  • Maintain database of electronic Health Records software for several healthcare practices on data storage systems like MySQL and MS SQL.
  • Identify, analyze, and interpret trends or patterns in complex data sets using R Programming Language.
  • Evaluate performance of employees and provide insight into making appropriate business decisions.

Software Developer

Confidential

Responsibilities:

  • Designed model to Predict future churn rate of customers using Artificial neural networks with accuracy of 85% on validation set; adopted drop out regularization to achieve 86.67% accuracy
  • Hunted 15% of credit card applications which were incorrectly flagged as non-fraudulent using Self Organizing Maps; Model was created to identify patterns in high dimensionality relationship
  • Tackled structured, semi-structured and unstructured data sets, determined key takeaways and visualized using box plots, histograms to abridge via Seaborn, matplotlib library of Python and ggplot of R
  • Created SVM classifier model to detect tone of customers on survey datasets of 15000 rows as positive or negative using NLTK and NLP techniques

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