Likhitha Gundre
Mountain View,CA
Summary
To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Overview
5
5
years of professional experience
Work History
Graduate Research Assistant
ARRC
03.2023 - 08.2023
- • Utilized multiple algorithms in data analysis, comparing their performance and effectiveness.
- • Identified LSTM (Long Short-Term Memory) as the optimal model for enhancing precipitation
- • Implemented LSTM model, leveraging its ability to capture long-term dependencies in time series data.
Graduate Research Assistant
University of Oklahoma
10.2022 - 02.2023
- Collaborated with the National Institute of Standards and Technology (NIST) on the development of guidance, tools, and metrics for planning and implementing community resilience measures and conducted disaster and failure studies
- Prepared, Obtained, Cleaned, formatted, and transformed 2000GB of unstructured data using Python and PySpark, which reduced the data size by 60%; Explored new approaches to the transportation data and performed feature engineering (PCA)
- Trained, tested, and evaluated the Machine Learning models for analytics (Linear, Logistic, XGBoost, SVM, KNN), resulting in an accuracy of 87%, which led to improved transportation network traffic flow; Used Seaborn and MS PowerBI to visualize the data
- Managed, coordinated, and facilitated cross-functional collaboration, supervised, and mentored a team, successfully completed a NIST-collaborated project on community resilience.
Data Analyst
Accenture
07.2021 - 08.2022
- Utilize ETL Background for the design, development and execution of Informatica Power Center Workflow processes and complex SQL
code to be migrated from Microsoft SSIS. - Designed and developed Mappings and workflows based on business user requirements and business rules to load data from different Source files/tables to Target files/tables.
- Designed and implemented stored procedures, views, and other database code objects to aid complex mappings.
- Used PuTTY and SQL for data querying,analysis, extraction, and database administration.
Data Analyst
Accenture
06.2019 - 06.2021
- Analyzed customer usage of credit cards to interpret data and analyzed results from various Machine Learning models
- Conducted comprehensive data analysis, segmenting customers based on merchant category code, card type, and customer credit history
- Utilized the Random Forest algorithm to perform the segmentation
- This approach improved the overall efficiency of the segmentation process by 9%.
Data Analyst
Accenture
12.2018 - 05.2019
- Developed paginated reports on Microsoft Excel
- Used Power BI Report Builder for the development of these reports
- Performed data cleaning and data modeling in Power BI using Mashup Language in Power Query
- Used DAX studio to modify default visual DAX queries for custom format in Paginated Reports
- Created comprehensive and customized reports for clients, enhancing their understanding of the data.
Education
MSc in Data Science and Analytics -
University of Oklahoma
Norman, OK05.2024
B.Tech. in Electronics and Communication -
REVA University
Bangalore,India05.2018
Skills
Programming Languages: Python, R, C
Cloud:
AWS, GCP, Azure Version Control:
Git, GitHub
Data Management:
PostgreSQL, MySQL, SQLite, NoSQL, SQL Server, ETL, PySpark
Machine Learning & NLP:
Scikit-Learn, OpenCV, TensorFlow, Spacy, NLTK, Data Cleaning, EDA, Classification, Linear & Logistic Regression
Data Analysis & Visualization: Pandas, Numpy, Matplotlib, Seaborn, Plotly, Tableau, Power BI, Jupyter, Advanced Excel, Power Point, VBA, Excel Macros Deployment and Infrastructure: Microsoft SQL
Project management:
Agile Methodologies, Hp ALM, JIRA, Product Planning & Development, Design, Risk Analysis, Agile, Scrum, Behavior-Driven Development, Quality Assurance, Best Coding Standards, Task/Issue tracking, Business Analysis, Problem Solving, Data Analysis
Projects
Customer Revenue Prediction using R Programming and Machine Learning (ML)
- Customer Revenue Prediction using R Programming and Machine Learning (ML), Performed EDA and predicted total expected sales revenue from customers across all of the customer’s online visits, R, OLS, MARS, ElasticNet, SVM.
Facial Expression Recognition
- Performed Utilized multiple algorithms in data analysis, comparing their performance and effectiveness.Identified CNN-LSTM as the optimal model for enhancing precipitation quantification. Implemented the CNN-LSTM model, leveraging its ability to capture long-term dependencies in time series data of the precipitation., CNN-LSTM
Job Shop Accounting System
- Performed Engineered a user-friendly web interface using JSP and Java applications interfacing with Azure SQL Database, while integrating stored procedures to enhance data retrieval efficiency. Conducted rigorous testing to ensure system reliability and functionality, elevating user experience and operational effectiveness., JSP, Java, Azure SQL Database
Timeline
Graduate Research Assistant
ARRC
03.2023 - 08.2023
Graduate Research Assistant
University of Oklahoma
10.2022 - 02.2023
Data Analyst
Accenture
07.2021 - 08.2022
Data Analyst
Accenture
06.2019 - 06.2021
Data Analyst
Accenture
12.2018 - 05.2019
MSc in Data Science and Analytics -
University of Oklahoma
B.Tech. in Electronics and Communication -
REVA University
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