# Aravind Kalyan Sivakumar

> Data Science Graduate | Specializing in Cloud-Based ML, LLMs & Scalable AI Solutions | NJIT’25

Location: Newark, New Jersey, United States
Profile: https://flows.cv/aravindkalyansivakumar

I’m a data science professional with a Master’s from NJIT (GPA: 3.85), passionate about designing intelligent, end-to-end systems that drive real-world impact. My background spans machine learning, cloud-native deployment, data engineering, and the intersection of AI and business strategy.

I’ve developed and deployed full-stack ML solutions, from fraud detection models to predictive analytics pipelines — using tools like Python, SQL, and AWS (SageMaker, Lambda, API Gateway). My projects reflect not just technical skill, but an emphasis on delivering scalable, explainable, and value-driven insights.

In addition to hands-on experience in data science, I’ve worked on ETL pipeline automation, enterprise warehouse integration, and the creation of Power BI dashboards for both operational and executive decision-making.

Currently, I’m diving deeper into:

1. LLM-based code generation and GenAI workflows

2. Cloud-based ML Ops and real-time inference systems

My goal is to contribute to forward-thinking teams solving meaningful problems — blending AI, cloud infrastructure, and product intuition.

Technical Summary
• Languages: Python, SQL, R
• Tools: Power BI, Jenkins, VS Code
• Cloud & ML Stack: AWS SageMaker, Lambda, API Gateway, Scikit-learn, PyTorch, Numpy
• Focus Areas: LLM Engineering, ML Ops, Cloud-Native AI

I’m actively exploring opportunities in AI, Data Science, and Cloud ML Engineering — and always open to conversations, collaborations, and bold ideas.

## Work Experience
### CSV Engineer @ Minaris Advanced Therapies
Jan 2025 – Present | New Jersey, United States

### Machine Learning Engineer @ Rebecca Everlene Trust Company
Jan 2025 – Jan 2025 | New Jersey, United States
As a Machine Learning Engineer at Rebecca Everlene Trust, I contributed to the Eat Like Us project, an initiative focused on understanding and reducing food waste in communities. My work involved collecting and preprocessing data from multiple open-source platforms, including public food-distribution datasets, consumer-behavior reports, and environmental data sources.

I supported the team in analyzing patterns of food usage and identifying regions and demographic groups where food wastage was most prominent. I also assisted in building early-stage predictive models to estimate surplus generation and potential redistribution needs. This helped guide the project’s goal of improving food-waste awareness and recommending more efficient consumption strategies.

Overall, my role combined data collection, feature exploration, basic ML experimentation, and insights generation to support a social-impact-driven machine learning initiative.

### Data Science Intern @ Eparampara Technologies
Jan 2022 – Jan 2023 | Chennai, Tamil Nadu, India
Spearheaded the development of 5+ ETL pipelines using Python and SQL to clean and transform 70,000+ sales and service records for client TVS Motors, resulting in a 35% reduction in manual processing time and improved reporting efficiency.

Developed and deployed 8 interactive Power BI dashboards to visualize SLA breaches, revenue trends, and performance KPIs, empowering strategic decisions by business leads

Performed exploratory data analysis (EDA) and prepared clean, structured datasets through feature engineering, encoding, and outlier handling, enabling accurate forecasting and anomaly detection models using Scikit-learn

Generated insights that improved reporting accuracy by 20% and directly influenced prioritization of underperforming regions

### Program Analyst @ Cognizant
Jan 2021 – Jan 2022 | Chennai, Tamil Nadu, India
Engineered and maintained robust data validation frameworks using SQL to ensure integrity across SAP ERP , Manhattan WMS, and TMS platforms, overseeing the accuracy and consistency of more than 200,000 inventory records per week for a client company
Built internal reporting tools using a combination of Excel automation and custom SQL queries, enabling operations teams to monitor order volumes, fulfillment status, and stock reconciliation metrics across 30+ warehouses with improved response time
Identified and resolved recurring inventory mismatches and data synchronization failures through structured root cause analysis (RCA), leading to a 22% reduction in order processing errors and ensuring consistent upstream-downstream system alignment
Documented complex integration flows, including EDI interfaces and batch jobs, while collaborating closely with QA, DevOps, and deployment teams during release cycles to maintain system stability, data consistency, and audit compliance


## Education
### Master of Science - MS in Data Science
New Jersey Institute of Technology

### Bachelor of Technology - BTech in Computer Science
Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur


## Contact & Social
- LinkedIn: https://linkedin.com/in/aravindkalyan007

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Source: https://flows.cv/aravindkalyansivakumar
JSON Resume: https://flows.cv/aravindkalyansivakumar/resume.json
Last updated: 2026-04-13