Moulica G

Data Scientist

Palo Alto, California, United States5 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Boosted query performance by 40% through optimized data pipelines.
Automated ETL processes, reducing manual workload by 25%.
Led projects in Generative AI for actionable insights.

Stackforce AI infers this person is a Data Engineering and AI specialist in Telecommunications and Consulting.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningData EngineeringData Science

Other Skills

ARIMAAdvanced Machine LearningAmazon BedrockAmazon RekognitionAmazon SageMakerApache AirflowApache KafkaApache OozieApache SparkAutomationAzure Data FactoryBig DataBig Data AnalyticsC (Programming Language)Cloudera

About

I am a certified Data and AI professional with six years of hands-on experience spanning Data Engineering, Machine Learning and Artificial Intelligence. My career journey has combined building high-performance data solutions with applying advanced analytics to solve complex business challenges. At Verizon and Accenture, I designed and optimized scalable data pipelines, boosting query performance by 40% and automating ETL processes to reduce manual workload by 25%. Alongside data engineering, I developed and deployed machine learning models that streamlined processes and drove measurable business outcomes. Certified as an AWS Certified AI Practitioner and Google Professional Data Engineer, I bring cloud-native expertise in managing and analyzing large-scale data. I am completing my Master’s in Artificial Intelligence at Iowa State University (December 2025), where I focus on deep learning, neural networks, NLP and computer vision. I have also led projects in Generative AI, applying cutting-edge techniques to transform data into actionable insights. I thrive at the intersection of Data Engineering, Data Science and AI, and I am actively seeking opportunities where I can leverage my hybrid expertise to deliver intelligent, scalable, and impactful solutions.

Experience

5 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

Current Experience

Iowa state university

Graduate Research Assistant

Oct 2024 – Present · 1 yr 8 mos · United States · Remote

Fine-tuned Large Language Models (LLMs) using project-specific data to enhance model performance.
Applied LoRA quantization techniques to optimize efficiency in LLM'S more than 40%
Engineered custom frameworks on HPC Nova infrastructure, achieving a 50% improvement in interpretation accuracy.

Large Language Models (LLMs)LoRA quantizationHPC Nova infrastructureArtificial Intelligence (AI)Machine Learning

Verizon

Data Engineer II

Sep 2021 – Dec 2023 · 2 yrs 3 mos · Hyderabad, Telangana, India · Hybrid

Conducted exploratory data analysis (EDA) and feature engineering on over 360 features, enhancing model performance.
Developed predictive models such as Random Forest and XGBoost, leading to a 15% improvement in sales demand forecasts.
Built and optimized large-scale ETL pipelines using Hadoop, PySpark,and Hive, significantly improving data availability by 40%

Exploratory Data Analysis (EDA)Random ForestXGBoostETL pipelinesHadoopPySpark+3

Accenture

2 roles

Big Data Developer

Promoted

Nov 2019 – Aug 2021 · 1 yr 9 mos

Designed and maintained robust data pipelines to enhance enterprise analytics at Accenture.
Developed and orchestrated ETL workflows using Hive, PySpark, and Oozie, significantly reducing data curation time.
Enabled seamless data integration through Azure Data Factory, ensuring timely dataset availability for advanced analytics.
Contributed to a remarkable increase in sales from $1.2 to $2.5 million in 2017.

Data pipelinesETL workflowsAzure Data FactoryHivePySparkOozie+1

Associate Software Developer

Dec 2017 – Nov 2019 · 1 yr 11 mos

Leveraged data science skills to support reporting and decision-making by conducting EDA on large-scale datasets and implementing transformations that enhanced data quality and usability. I collaborated with cross-functional teams to debug pipelines, identify bottlenecks and implement fixes, resulting in 50% faster processing times for large-scale jobs.

Exploratory Data Analysis (EDA)Data transformationsData Science