SRUTHI REDDY NARAPAREDDY

adhqbg@r.postjobfree.com • Chicago, IL 60607 • 512-***-****

Portfolio linkedin.com/in/sruthi-reddy/ https://github.com/sruthi1014 Tableau SUMMARY

Data science and analytics professional with 1 year experience in data analysis and visualizations along with 2.5 years of application development expertise in Fin Tech. Proficient in SQL, Python, R, Tableau, Statistics and Java. Passionate about driving business decisions through analytical insights and quantitative research. EDUCATION

Coursework: Data Mining, Machine Learning, Advanced Predictive Modelling, Advanced Text Analytics, Analytics for Big Data, Advanced Database Management, Business Data Visualization, Time series Methods, Revenue Management, Operations Management SKILLS

Technical: SQL, Python (PySpark, PyTorch, scikit-learn, keras, matplotlib), Tableau, R, ggplot2, MapReduce, Alteryx, Excel, Java, PL/SQL Modeling: A/B testing, Random forest, XGBoost, Lasso, Ridge and Logistic Regressions, Decision Trees, KNN, K- means, PCA, Linear discriminant analysis, ALS collaborative filtering, Matrix factorization, Clustering, NLP, Time series forecasting Certifications: Tableau Desktop Specialist, Alteryx Designer Core, A/B Testing in R EXPERIENCE

University of Illinois at Chicago – Chicago, Illinois Data Analyst- Student Affairs Technology Data Mining, ETL, Data Analysis, Data Visualization Oct 2019 – Present

• Designed Data Pipelines to transfer data from multiple sources to Datamart and transform for deeper analysis

• Developed interactive Tableau dashboards to assess student participation in the events, student employment, Commuter (CSRC) data and analyzed their demographics

• Generated Ad-hoc reports using SQL by connecting to disparate data sources (Microsoft SQL Server)

• Provided assistance with web development for the university website using WordPress and HTML ORACLE Financial Services Software Ltd – Bengaluru, India Applications Developer 2 Data Management, Automation, Application Development Nov 2016 – Jul 2019

• Using PL/SQL, performed data manipulation on custom made tables in Oracle DB that are seamlessly linked to the front end of a complex banking application

• Proactively made modifications to the front end of the application using Oracle FLEXCUBE ODT to increase user friendliness of the application interface

• Created an Automation framework using Java and Selenium for quality analysis of FCUBS which reduced the testing time of the product by 50%

• Developed new features in Oracle Banking Payments (OBPM) Application using Java, SQL, JPA to enhance cross border payments

• Supervised the support and development of SWIFT messages module and handled production issues which received 100% customer satisfaction

PROJECTS

Customer Engagement Analysis (VMWARE) R Spring-2020

• Built a classification model to predict customer behavior using ensemble techniques such as Random forest (RF) and XGBoost (on imbalanced data) with 98.9% recall

• Accomplished feature selection from 700 columns using RF and LASSO after applying SMOTE to balance the data Image Captioning using LSTM Pytorch Deep Learning Spring- 2020

• Generated textual descriptions for images using CNN -LSTM as encoder and decoder by implementing Transfer learning through Resnet 152 pre trained model and achieved scores of 22.3, 11.4 using BLEU 3, 4 metrics respectively Movie Recommendation system using ALS Python Spring- 2020

• Built a movie recommendation system using Alternating least squares optimizer with Matrix factorization algorithm using Python

(Pyspark) and hyper tuned the model to get 0.912 RMSE Image Classification Python Spring- 2020

• Predicted different classes of images in CIFAR dataset with an accuracy of 92% using deep CNN (Pytorch) architectures and the hand drawn digits of MNIST dataset with 97.24% (Keras) Sentiment Analysis on Amazon Twitter Data Python NLP Fall- 2019

• Performed sentiment analysis on Amazon Twitter data using TF-IDF and logistic regression in python (Sci-kit Learn) and achieved a 70% accuracy with 88.6% recall

Analysis of Airline On-Time Flight Performance Tableau Fall- 2019

• Created an interactive Tableau dashboard which highlighted the key features of Envoy airlines and compared delay performance with their competitor and provided recommendations to increase their on-time performance Master of Science in Business Analytics, University of Illinois at Chicago (GPA: 3.75/4) Dec 2020 Bachelor of Engineering, Chemical Engineering, BITS PILANI Hyderabad Campus (GPA: 8.04/10) May 2016