Preeti Reddy Koppolu

Experience

• 

  CoreLogic

  May 2019 - Jul 2022

  Jr. Data Scientist

  • Analyzed the data and developed the detailed reports, dashboard, and scorecards by Tableau. Used Agilemethodology and scrum process for project development.• Participated in features engineering such as feature intersection generating, feature normalize and labelencoding with Scikit-Learn preprocessing.• Worked with data analysis using ggplot2 library in R to do data visualizations for better understanding ofcustomers' behaviors.• Developed and implemented predictive models using machine learning algorithms such as linearregression, classification, multivariate regression, Naive Bayes, Random Forests, K-means clustering,KNN, PCA and regularization for data analysis.• Built database mapping classes using NoSQL Database like MongoDB.• Implemented end to end T Pattern Algorithm software from scratch.• Cleaned and preprocessed raw data to group data into Complaints and Non-Complaints.• T pattern algorithm helped businesses to lower complaints from customers by identifying thetrends/patterns in existing data (complaints and non-complaints).• Worked on various applications using Python-integrated IDEs such as Visual Studio Code and Jupyternotebook. Worked on Analytics Automation Platform called Alteryx for data science, machine learning,and reporting processes. Show less

• 

  Avnet

  Jun 2023 - Oct 2023

  Data Scientist

  Used python packages and Machine Learning algorithms such as Ggplot2, NumPy, Pandas, SciPy,Matplotlib, Seaborn, Scikit-learn, Regression, Classification, SVM, Decision Trees, Random Forests, KNN,K-Means, Neural Network and CNN.• Developed Tableau data visualization using Scatter Plots, Geographic Map, Pie Charts and Bar Chartsand DensityChart.• Proficient in data visualization tools such as Tableau, Python Matplotlib, R Shiny to create visuallypowerful and actionable interactive reports and dashboards.• Performed data imputation using Scikit-learn package in Python. Used Python (NumPy, SciPy, pandas,seaborn) to develop variety of models and algorithms for analytic purposes.• Created data models to predict the ER visits of the population with 87% accuracy with GradientBoosting and Random Forest algorithms.• Implemented deep learning models and numerical Computation with the help of data flow graphsusing TensorFlow Machine Learning. Show less

• 

  Cigna Healthcare

  Nov 2023 - now

  Data Science Engineer

  • Performing GAP Working on healthcare analytics projects that involve analyzing patient data, medicalrecords, and claims data to extract meaningful insights.• Developing predictive models for patient readmission risk assessment, medication adherence prediction,and disease outbreak detection using machine learning algorithms.• Gathered and cleaned diverse healthcare datasets from sources such as electronic health records (EHRs),insurance claims, and prescription data.• Conducted exploratory data analysis (EDA) to identify patterns, trends, and outliers using Python librarieslike Pandas and Seaborn.• Employed machine learning techniques (e.g., regression, classification, clustering) using libraries likeScikitLearn and XGBoost to build predictive models.• Applied NLP techniques for sentiment analysis of patient reviews and extracting insights fromunstructured medical text data.• Created informative data visualizations using tools like Matplotlib and Tableau to communicate resultseffectively to stakeholders. Utilized big data technologies like Hadoop and Spark to handle large-scalehealthcare datasets efficiently.• Worked with SQL and NoSQL databases to store, retrieve, and manage healthcare data.• Collaborated with cross-functional teams, including clinicians, IT specialists, and business analysts, toalign data science initiatives with business goals. A highly immersive Data Science program involvingData Manipulation & Data Visualization, Web Scraping, Machine Learning, Python programming, SQL,GIT. Implementing and following an Agile development methodology within the cross-functional team.• Working on various applications using Python integrated IDEs such as a Visual Studio Code and Jupyternotebook. Show less