LAKSHMI POOJITHA CHALLAGALI

+1-313-***-**** ad1vzk@r.postjobfree.com LinkedIn Profile

SUMMARY

● Data enthusiast and Graduate Student in Data Science & Business Analytics at Wayne State University, Detroit-USA

● Experience of 7 years working in Information Technology (IT) at various positions in the enterprise level Software Development Lifecycle (SDLC) starting from requirement analysis, design reviews, test development, end to end testing, production support and maintenance

PROFESSIONAL EXPERIENCE

Northstar Care Community Ann Arbour, Michigan May 2023 – July 2023 Data Science Intern

• Developed a prediction model which predicts when a patient in a hospice care has 14 days (or less) to live using 20 years of Electronic Health Records(EHR) data using SQL and various Python libraries

• Created 200+ feature variables post data transformation which are fed into a XGBoost model resulting in a improved prediction accuracy of 96% with a decent F-1 score Infosys Limited Hyderabad, India Aug 2018 – Aug 2021 Technology Analyst Client – Novartis, United Kingdom

• Coordinated end-to-end delivery of a data migration project working in a cross-functional team setup, effort estimation and architecture design of the applications

• Led business requirements sessions with a team of business users; created data dictionaries and transformations

• Guided the Technical team to ensure consistency of the overall solution and continuous management of user expectations

• Owned and managed user requirements specifications for a functional area, ensuring that the complexity of the requirements is documented in concise, scalable manner that is easily understood by both the Business team and Vendor team

• Designed and Created Test Plans, Test Cases, and Test Scenarios based upon Functional and Non-functional requirements and maintained them using JIRA/ HP QC/ALM tool

• Successfully implemented data mapping for migration of data from multiple sources to a single target system which re-defined client’s operations and provided L2 application support thereafter

Infosys Limited Chennai, India May 2014 – July 2018 Senior Systems Engineer Client - AstraZeneca, United Kingdom

• Analyst and solution designer for cleanup of backend legacy data and metadata update as per business process using DBMS technologies

• Continuous coordination with product Vendor and the client for business requirement fulfillment and incident resolution

• Point of contact for the application support in terms of Incident Management, Change Management and Release Management

• Expertise in triggers, functions, and stored procedures to manage clinical data using PL/SQL

• Provided functional and technical mentorship to junior resources on project specific applications

• Improved productivity, supportability, and efficiency by automation of repeatable tasks using various tools like HP Load Runner

SKILLS

• Programming Languages: Python R C Sharp Java .NET SQL PL/SQL

• Databases: Snowflake SQL Server Oracle 11g

• Tools: Tableau Plotly DASH Power BI R Studio GIT Hub HP ALM (Application Life Cycle Management) HP LoadRunner GCP (Google Cloud Platform)

• Data Science Techniques:

Supervised Learning Data Mining K-Fold Cross Validation Unsupervised Learning Data Visualization Convolutional Neural Networks Predictive Data Modelling Hyper-parameter Tuning Explainable AI Timeseries Forecasting Deep Learning Feature Engineering

• Python Libraries for Data Science:

NumPy Seaborn Matplotlib

Pandas TensorFlow Scikit-learn

EDUCATION

Wayne State University, Detroit, USA Current GPA – 3.92 MS in Data Science & Business Analytics, Advanced Analytics

(Graduating Winter 2024 )

Jawaharlal Nehru Technological University, Kakinada, India GPA – 3.3 Bachelor of Technology, Electronics and Communication Engineering 2014 ACADEMIC EXPERIENCE

Graduate Student Sep 2021 – till date

Driver Drowsiness Detection

• Built a drowsy driver alert system using OpenCV to detect faces and eyes using a haar cascade classifier and used a CNN model to predict the drowsiness

• Gray scale images Resize Flatten Normalization Feature extraction using PCA Data Science Jobs Analytics

• Performed EDA on the jobs data from different websites like Indeed, Flex, Dice and Simplyhired using Python and put together Plotly DASH interactive analytics dashboards to showcase the key insights based on Job role, Job type and location Classification Pipeline in R

• Implemented a classification pipeline with 10+ classification methods on 30+ different datasets in different fields surveying number of CRAN packages and submitted a report to understand which classification method works best for each dataset achieving highest accuracy and the best possible F1 score

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