l
lakshmi
About
Detail
Data Scientist | NLP & Generative AI Specialist | Deep Learning | Python, PyTorch | Solving Complex Data Challenges
Charlotte, North Carolina, United States
Résumé
Jobs
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Senior Android DeveloperGREYHOUND LINES INCMay 2024 - Current (2 years 4 months)- Data Scientist - Advanced AI InitiativeFirst Citizens BankJan 2024 - Current (2 years 8 months)development of CECL-compliant credit risk models (PD & LGD) for consumer and small business portfolios covering $4B in loan balances. Built XGBoost-based Probability of Default (PD) models and fractional regression LGD models to accurately estimate credit losses under regulatory constraints. Designed and implemented end-to-end ML pipelines (Snowflake → dbt → Airflow → AWS SageMaker → MLflow) ensuring full auditability and reproducibility. Resolved critical data integrity issues during CIT acquisition integration by implementing robust dbt data validation and mapping layers. Developed macroeconomic scenario pipeline (FRED + Moody’s CreditEdge) to generate baseline and stress-case loss forecasts for quarterly CECL reporting. Authored SR 11-7
- Senior Android DeveloperGap IncSep 2022 - Nov 2023 (1 year 3 months)
- Data ScientistFirst Citizens BankFeb 2022 - Current (4 years 7 months)Worked with First Citizens Bank on banking data to analyze customer transactions and financial behavior. Collected and cleaned large amounts of customer and transaction data from different banking systems. Performed exploratory data analysis (EDA) to identify patterns in customer spending and account activities. Built machine learning models to help predict customer churn and improve customer retention. Developed fraud detection models to identify unusual or suspicious banking transactions. Used Python, SQL, and Pandas to process and analyze large datasets. Created data visualization dashboards using Tableau/Power BI for business teams to understand insights easily. Worked closely with business analysts, data engineers, and product teams to
- Android DeveloperDeloitteJan 2021 - Aug 2022 (1 year 8 months)
- Android DeveloperRichlabz IT SolutionsJan 2019 - Dec 2020 (2 years)
- Machine Learning EngineerMeijerJul 2018 - Jan 2022 (3 years 7 months)Built a store × SKU level demand forecasting system across 220+ stores using a hybrid approach (Facebook Prophet + LightGBM), improving forecast accuracy for perishable goods. Engineered 80+ features in PySpark including pricing signals, promotions, seasonality, and store-level demographics to enhance model performance. Designed and deployed end-to-end ML pipelines using Airflow, automating data processing, model training, validation, and scoring. Developed personalized recommendation models (XGBoost) for mPerks loyalty program, generating targeted offers for millions of customers. Implemented a cold-start recommendation strategy for new users using geo-level aggregated behavioral data, improving early engagement. Optimized large-scale PySp
- AJava DeveloperACNE SOLUTIONS LIMITEDMay 2016 - Dec 2018 (2 years 8 months)
- Machine Learning EngineerNorthwestern MutualNov 2015 - Jun 2018 (2 years 8 months)Worked as a ML Engineer supporting financial and insurance analytics initiatives. Collected, cleaned, and analyzed large datasets to identify business trends and customer behavior patterns. Built machine learning models using Python and SQL to improve customer insights and risk prediction. Performed exploratory data analysis and data visualization using tools like Tableau and Power BI to support business decisions. Collaborated with cross-functional teams to deliver data-driven solutions for business strategy and performance improvement.
- Data AnalystADMJan 2014 - Oct 2015 (1 year 10 months)Designed and built a centralized data mart (SQL Server) integrating procurement, inventory, and logistics data from SAP R/3 systems. Developed and maintained ETL pipelines using SSIS, enabling automated data ingestion and transformation across multiple business units. Identified and resolved data duplication issues across legacy and new SAP systems, improving reporting accuracy for inventory and procurement metrics. Created SSRS reports and MicroStrategy dashboards providing real-time visibility into plant performance and supply chain operations across 40+ facilities. Automated manual reporting workflows using Python, reducing operational effort and improving reporting efficiency. Implemented data validation and reconciliation processes to
Education
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- Pace UniversityPace UniversityJan 2023 - Dec 2025 (3 years)Master’s in Computer Science Focused on software development, mobile technologies, and application design. Gained strong knowledge in Java, Kotlin, data structures, object-oriented programming, and software engineering principles. Completed advanced coursework in software engineering, mobile application development, algorithms, database systems, and cloud computing. Built multiple Android applications, gaining practical experience with Android Studio, Jetpack components, REST APIs, MVVM architecture, and Gradle build systems.