LIKHITHA GUNDRE
Atlanta,USA
Summary
As a highly skilled Data Scientist with 6+ years of experience, I am seeking to leverage my expertise in machine learning, statistical analysis, and data-driven decision-making to solve complex business challenges. Proven ability to extract actionable insights from large datasets, develop predictive models, and implement data-driven solutions that drive operational efficiency and strategic growth.
Overview
8
8
years of professional experience
Work History
Senior Data Scientist
Global Payments Inc.
Atlanta, USA
12.2023 - Current
- Led development of analytics-driven data products to support business decision-making across financial operations.
- Designed and deployed machine learning models (XGBoost, Random Forest, SVM) to predict customer behavior and improve operational efficiency.
- Built scalable data pipelines using AWS (S3, EMR, Spark) to process large-scale structured and unstructured datasets.
- Partnered with business stakeholders to translate analytical insights into strategic recommendations, improving decision accuracy.
- Developed dashboards and reporting solutions to communicate insights to non-technical stakeholders.
- Acted as a technical SME, mentoring team members on ML models, data engineering, and analytics best practices.
Data Scientist
United Parcel Service
Sandy Springs, USA
09.2022 - 11.2023
- Built predictive models (HMM, SVM, XGBoost, Random Forest) to improve classification and forecasting accuracy.
- Developed NLP-based solutions to extract and structure unstructured data, improving reporting automation.
- Collaborated with business teams to define data-driven solutions for operational and workforce-related challenges.
- Conducted statistical analysis and experimentation to optimize performance and decision-making processes.
- Worked closely with data governance teams to ensure data quality, metadata management, and compliance.Worked with Azure Cloud Platform for AI/ML for handwriting recognition and Sketch2code for integration into ML platform where developers can utilize sketching into html conversion for front end development. Sketch2Code architecture is Part of Azure Cognitive Services, the Custom Vision and Computer Vision are used for object detection, OCR including handwriting recognition.
- Played a role of Data Scientist, working directly with Business Partner on Data design and sourcing to be able to leverage existing BI capabilities to scale applications for future advance analytics.
- Evaluation of machine learning algorithms and data usage for scoring models and classification.
- Built models using Statistical techniques like Bayesian HMM and Machine Learning classification models like XG Boost, SVM, and Random Forest using Python packages.
- Understanding business models and select best approaches to improve their performance. Also, analyzing data for trends.
- Worked with data compliance teams, data governance team to maintain data models, Metadata, data Dictionaries, define source fields and its definitions.
- Working in Business and Data Analysis, Data Profiling, Data Migration, Data Integration and Metadata Management Services.
- Business Analysis, Requirement Gathering, Functional and Architecture for Credit Risk Rating 3.
- Implemented data collection, curation, and analysis scripts using Hadoop, PIG, HIVE technologies.
- Developed NLP service to identify and extract text features for pre-populating fields in the client's data reporting and abstraction application.
- Performing statistical analysis and building high-quality prediction and classification system using data mining and machine learning techniques. Improved prediction and classification techniques by using various machine learning modeling techniques such as SVM, Naive Bayes, Decision Trees, Gradient Boosting- GBM, XGBoost, AdaNet, Random Forest, Classification, Linear/Logistic Regression, K-Means, K-NN along with Deep Learning applications such as TensorFlow and Keras library with the objective of achieving lowest test error.
- Developing, analyzing and comparing algorithms (ML, AI) that could be used to solve a given problem and ranking them by their success probability.
- Design, construct and curate large functional requirements as part of RFP (Request for Proposal) for Machine Learning Modeling, Data Warehouse, Databases and Data Aggregation for the Internet of Things platform architecture.
- United Parcel Service, Inc. (UPS) is an American multinational shipping & receiving and supply chain management company.
- Environment: Python 3.6, Apache Spark and Kibana, Python, Hadoop, Kafka, PIG, HIVE, MLib, Scikit-Learn, MySQL, SQL, Data Warehouse, Data Modeling, Middleware Integration, Gradient Boost, Random Forest, xgboost, OpenCV, sklearn etc.
Data Scientist
Comcast Corp
Mumbai, India
03.2020 - 07.2022
- Designed recommendation systems and predictive models to enhance customer engagement and retention.
- Performed advanced statistical analysis and feature engineering to extract actionable insights from large datasets.
- Delivered analytics insights to business stakeholders, influencing strategic and operational decisions.
- Provided technical leadership in machine learning model development and analytics frameworks.
Data Scientist
S&P Global
Mumbai, India
06.2018 - 02.2020
- Developed predictive models for financial forecasting, risk analysis, and asset performance optimization.
- Performed NLP and topic modeling to extract insights from financial documents and unstructured data.
- Conducted hypothesis testing and statistical modeling to support data-driven investment decisions.
- Partnered with stakeholders to translate analytics into business strategies and measurable outcomes.
Education
Masters - Data Science & Analytics
University of Oklahoma
USA01-2024
Skills
- MongoDB
- Netteza Datalabs
- MySQL
- MSSQL Server
- Amazon S3 Buckets
- Amazon Athena
- AWS DynamoDB
- Azure Blob
- Data Lake
- HDFS
- Oracle SQL Server
- MS Excel
- Sharedrive
- BigQuery
- Python
- R
- SQL
- SAS
- MATLAB
- Unix Commands
- GIT
- BASH Commands
- C
- C
- JAVA Script
- C#
- VB
- Julia
- Golang
- OpenGL
- HTML
- XML
- Web forms
- Reports
- Tableau
- R Shiny
- Weka
- Microsoft Power BI
- Plotly
- D3js
- Chartjs
- Jupyter Notebook
- Azure ML
- Azure IoT Hub
- HD Insight
- Streaming Analytics
- S3
- Redshift
- Google Cloud Platform
- EMR2
- Scikit-Learn
- TensorFlow
- Gensim
- SparkML
- Pyspark
- OpenCV
- OpenCV4
- Mobile NetSSD
- YOLO
- Classification
- KNN
- Regression
- Random Forest
- Clustering (K-means)
- Neural Networks
- SVM
- Bayesian Algorithm
- Multivariate Gaussian
- Social Media Analytics
- Reinforcement Learning
- Sentimental analysis
- Market Base Analysis
- Bagging
- Boosting
- Stacking
- R-Square
- Std Error
- SSE
- MSE
- Z-Test
- T-test
- Null Hypothesis
- P-Values
- Simpson's paradox
Timeline
Senior Data Scientist
Global Payments Inc.
12.2023 - Current
Data Scientist
United Parcel Service
09.2022 - 11.2023
Data Scientist
Comcast Corp
03.2020 - 07.2022
Data Scientist
S&P Global
06.2018 - 02.2020
Masters - Data Science & Analytics
University of Oklahoma