Maheswari Bellam

As an AI/ML Engineer, I am driven by a deep curiosity and ambition to master complex challenges, always taking full accountability for my contributions. I approach problem-solving with a calm, logical mindset, constantly seeking innovative and impactful solutions that push the boundaries of what's possible.

Experience

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AI/ ML Engineering

Nexxoft Infotel Limited · Sep 2025 – Aug 2026

Not yet confirmed

• Developed an end-to-end real-time sales forecasting solution to predict future sales using historical transaction data, seasonal trends, promotions, and customer demand patterns.
• The project automated data ingestion, preprocessing, model training, prediction, and dashboard reporting to help business teams optimize inventory, improve demand planning, and increase revenue.
• Gathered sales data from SQL databases and AWS S3 for analysis and model development.
• Performed exploratory data analysis (EDA) to identify sales trends, seasonality, and customer buying patterns.
• Developed feature engineering pipelines using historical sales, promotions, holidays, and product categories.
• Built and trained machine learning models for sales forecasting using Scikit-learn and XG Boost.
• Evaluated model performance using MAE, RMSE, and MAPE metrics, and optimized model accuracy through hyperparameter tuning.
• Automated data preprocessing and prediction workflows using Python scripts and AWS Lambda.
• Deployed the forecasting model on AWS SageMaker/EC2 for real-time predictions.
• Wrote optimized SQL queries to extract, aggregate, and analyze sales data.
• Stored datasets, trained models, and prediction outputs in AWS S3.
• Monitored model performance using ML flow and AWS CloudWatch, and retrained models when required.
• Created interactive dashboards in Power BI/Tableau to compare forecasted and actual sales.
• Collaborated with business stakeholders to understand forecasting requirements and deliver actionable insights.
• Used Git for version control and followed Agile/Scrum methodologies for project development.
• SQL & data querying: Write queries to extract and validate datasets assist in building datasets for analysis.

Project Engineer

Wipro Limited · Mar 2025 – Sep 2025

Not yet confirmed

• Developed a Retail Sales Analytics Dashboard to provide real-time insights into sales performance, customer behavior, inventory trends, and revenue growth.
• The project involved extracting sales data from SQL databases, processinSASg and analyzing it using Python, and creating interactive dashboards in Power BI.
• AWS services were used for secure data storage, processing, and deployment, enabling business users to monitor key performance indicators (KPIs) and make datadriven decisions.
• Wrote optimized SQL queries to extract, join, and aggregate sales, customer, and product data.
• Performed exploratory data analysis (EDA) to identify sales trends, seasonal patterns, and customer purchasing behavior.
• Designed and developed interactive Power BI/Tableau dashboards to visualize key business metrics.
• Used AWS S3 for data storage and AWS EC2 for hosting analytics applications.
• Queried data stored in AWS using Amazon Athena to support reporting and analysis.
• Validated dashboard data by comparing report outputs with SQL query results to ensure accuracy.
• Collaborated with business stakeholders to gather reporting requirements and deliver actionable insights.
• Improved dashboard performance by optimizing SQL queries and data models.
• Used Git for version control and followed Agile/Scrum practices for sprint planning, development, and delivery.
• Documented project workflows, dashboard features, and data validation processes for knowledge sharing and maintenance.

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Cloud Engineer

Pragyashal Cloud Solutions · Oct 2023 – Mar 2025

Not yet confirmed

• Managed and optimized scalable AWS cloud infrastructure to ensure high availability, security, and performance.
• Configured Virtual Private Clouds (VPC) with custom networking, security groups, and route tables.
• Implemented proactive operational monitoring using AWS CloudWatch and CloudTrail to track resource health and facilitate security audits.
• Partnered with cross-functional teams to resolve incidents and change requests via ServiceNow while optimizing EC2 and storage configurations to improve cost efficiency and maintain strict SLA compliance.
• Monitored infrastructure health using AWS CloudWatch and CloudTrail for operational visibility and auditing.
• Optimized EC2 instance types and storage volumes to improve performance and cost efficiency.
• Configured private networks, subnets, route tables, and security groups using AWS VPC.
• Handled AWS status check failures and configured CPU and memory alerts for proactive resource management.
• Worked extensively with ServiceNow to manage incidents, change requests, and service tickets.
• Collaborated with cross-functional teams to meet SLAs and ensure operational excellence.