LAXMAN SRI HARSHA NEELAM
Machine Learning Engineer
Denver,CO
Summary
Results-driven Machine Learning Engineer with a strong foundation in data analytics and over 2 years of experience delivering comprehensive AI solutions. Expertise includes building and deploying predictive models for classification, regression, and forecasting across various industries. Proficient in Python, SQL, and cloud platforms such as AWS and Azure, with hands-on experience in data preprocessing, model tuning, and production-grade deployment. Recognized for translating raw data into actionable insights using tools like Power BI and Tableau, effectively bridging the gap between business objectives and technical implementation through scalable machine learning pipelines.
Overview
6
6
years of professional experience
Work History
Machine Learning Engineer
Xcel Energy
09.2023 - Current
- Designed, trained, and deployed predictive machine learning models to forecast key metrics such as Energy Usage Efficiency Score and Grid Health Index, enhancing operational planning and load balancing accuracy.
- Developed an LLM-based chatbot interface using OpenAI and LangChain, integrated into Xcel’s internal analytics platform to support natural language queries for energy consumption, outage patterns, and performance reports.
- Engineered feature pipelines to process real-time sensor data, historical consumption logs, and weather patterns, improving forecasting accuracy for peak load prediction and power distribution.
- Collaborated with data engineers to automate data ingestion from smart meters, IoT devices, and customer feedback systems, streamlining pipeline reliability and enabling scalable ML model deployment.
- Led generative AI experiments using state-of-the-art transformer models to summarize field reports, customer service transcripts, and technician logs for faster issue triage and sentiment analysis.
- Applied NLP techniques to extract trends from internal reports and outage tickets, enhancing visibility into root causes and supporting predictive maintenance efforts across the energy grid.
- Conducted A/B testing on algorithmically optimized energy-saving recommendations; observed a 17% improvement in user engagement with the smart energy dashboard.
- Deployed ML pipelines on AWS SageMaker for scalable training and real-time inference, with built-in monitoring, auto-scaling, and performance alerts.
- Developed Power BI dashboards for internal stakeholders to visualize KPIs, predictive models, and model drift over time, supporting executive-level reporting and decision-making.
- Ensured reproducibility, rollback, and version control of ML workflows via Git and integrated CI/CD pipelines across development and production environments.
- Partnered with product and engineering teams to integrate ML solutions into Xcel’s customer-facing tools, delivering smarter energy insights and personalized usage recommendations.
- Continuously explored emerging research in LLMs, prompt engineering, and generative AI applications to inform the company’s digital innovation roadmap.
- Prompt Engineering
Data Analyst II
Yash Technologies
07.2021 - 08.2023
- Spearheaded automation of procurement and logistics workflows by designing scalable ETL frameworks using Python and SSIS; achieved a 30% reduction in manual intervention across distributed teams.
- Architected real-time analytics dashboards in Power BI for tracking inventory trends, vendor performance, and procurement cycle times enabling strategic spend analysis and 25% faster reporting cycles.
- Embedded predictive modeling into operations by analyzing equipment maintenance cycles using multivariate regression techniques, enabling preemptive action for failure-prone assets and reducing downtime by 8%.
- Established self-serve analytics tools using Excel Power Query and SQL-based models, giving 100+ non-technical stakeholders direct access to dynamic procurement insights.
- Version-controlled end-to-end analytical pipelines in Git, aligning data science workflows with DevOps best practices enabling rapid rollback, modular updates, and consistent code governance.
- Collaborated across engineering and operations to standardize KPIs, implement threshold-based alerts, and improve supply chain agility through anomaly detection and early warning systems.
- Python (Pandas, Numy), SQL Server, Power BI, SSIS, Excel (Power Query), Git, Regression Analysis
Data Analyst I
Yash Technologies
07.2019 - 06.2021
- Boosted clinician adoption of risk dashboards by 40% by translating predictive risk scores into user-friendly insights tailored for hospital units.
- Built logistic regression models using Python (Scikit-learn) to predict 30-day readmission risk (AUC ~ 0.82) on a dataset of over 10,000+ patient records; collaborated with QA teams to validate model output before deploying insights via Tableau dashboards tailored to clinical decision-making workflows.
- Conducted pre-post testing on revised discharge protocols using claims data; successfully reduced readmission rates by 5.6% in the target cohort through improved discharge practices informed by actionable insights derived from predictive analytics models.
- Created Excel-based trend trackers for readmission and length-of-stay metrics; migrated these insights into Tableau dashboards widely adopted by clinical planning teams for resource allocation optimization across hospital units.
- Standardized incoming patient records from Epic and Cerner using PostgreSQL and Python (Pandas, NumPy) scripts; reduced data preparation time by 35%, enabling real-time population health reporting that informed responsive care planning.
- Python (Scikit-learn, Pandas, NumPy), PostgreSQL, Tableau, Excel, Claims Data, Logistic Regression, EHR Systems
Education
Master of Science - Information Technology
University of Denver
Denver, Colorado 05.2001 -
Bachelor of Engineering - Computer Science (Specialized in AI)
KL University
Guntur, Andhra Pradesh07.2021
Skills
- Programming Languages & Libraries: Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, HTML
- Data Visualization & Reporting: Power BI, Tableau, Matplotlib, Seaborn, Excel (Power Query, PivotTables, Advanced Reporting)
- Data Engineering & Workflow Automation: ETL Development, SSIS, Azure Data Factory, Git (Version Control)
- Cloud Platforms & Services: Microsoft Azure (Data Factory, SQL Database, Storage), AWS
- Data: Data Cleaning, Data Wrangling, Data Preparation, Data Governance, Reporting Automation, KPI Design
- Databases: PostgreSQL, MySQL, SQL Server, Azure SQL, MongoDB
Timeline
Machine Learning Engineer
Xcel Energy
09.2023 - Current
Data Analyst II
Yash Technologies
07.2021 - 08.2023
Data Analyst I
Yash Technologies
07.2019 - 06.2021
Master of Science - Information Technology
University of Denver
05.2001 -
Bachelor of Engineering - Computer Science (Specialized in AI)
KL University
Similar Profiles
Brandon JohnsonBrandon Johnson
Sr. Engineering Intern at Xcel EnergySr. Engineering Intern at Xcel Energy
Alejandro MatusAlejandro Matus
Journeyman Lineman at Xcel EnergyJourneyman Lineman at Xcel Energy
Paul PetersonPaul Peterson
Substation Operator at Xcel EnergySubstation Operator at Xcel Energy
Lily NoteboomLily Noteboom
Intermediate Research Services Professional at CU AnschutzIntermediate Research Services Professional at CU Anschutz
Jacob FowlerJacob Fowler
GIS Analyst at Samsung C&T AmericaGIS Analyst at Samsung C&T America