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Rahul Dev Verseya

Rahul Dev Verseya

Senior Data Analyst | Supply Chain Analyst

Technology / Internet

Germantown, Montgomery

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About Rahul Dev Verseya:

I am a result oriented Senior Data Analyst and Data Scientist with 5+ years of experience delivering data-driven insights and transforming complex datasets into actionable strategies that improve business performance. My expertise spans statistical analysis, data visualization using Tableau and Power BI, and advanced programming in Python, R, and SQL. I have a deep understanding of machine learning techniques, deep learning, and generative AI, with significant experience working on large language models (LLMs) to build predictive models that drive decision-making.

I thrive in projects where data can unlock value, having successfully led initiatives across multiple industries:

• Reduced loan default rates by 18% by developing predictive models for credit risk assessment.
• Increased conversion rates by 20% in e-commerce by analyzing sales data and providing actionable recommendations.
• Cut inventory holding costs by 15% through dynamic forecasting models in supply chain management.

In addition to data analysis, I specialize in machine learning, leveraging frameworks such as TensorFlow, PyTorch, and Scikit-learn to solve complex business problems. I am also passionate about Generative AI and LLMs, and I’ve built innovative solutions using Hugging Face, OpenAI GPT, and other state-of-the-art AI tools.

Key Competencies:

• Data Science & Analysis: Machine Learning, Predictive Modeling, Deep Learning
• Data Visualization: Tableau, Power BI, Microsoft Excel
• Programming: Python, R, SQL, MySQL, NoSQL
• Machine Learning & AI: Generative AI, Transformers, LLMs, TensorFlow, PyTorch, Scikit-learn
• Tools: GitHub, Apache Kafka, Celonis, ETL, Jenkins, Airflow, Snowflake
• Certifications: Lean Six Sigma Green Belt, Python for Data Science, Celonis: Process Mining

I excel in collaborating with cross-functional teams, translating technical data into strategic insights, and aligning data science solutions with business objectives. I’m always eager to learn and stay at the cutting edge of AI, data science, and analytics technologies, while applying my skills to help companies make data-driven decisions that lead to measurable business outcomes.

Experience

Alliant Infotech

Senior Data Analyst

Mar 2019 - Jun 2022 · 

• Healthcare Supply Chain Management:
o Integrated procurement, inventory, and supplier data using ETL processes.
o Developed a predictive model using ARIMA and Random Forest to forecast demand, reducing stockouts by 20% and excess inventory by 15%.
o Created Tableau dashboards for supplier performance evaluation and operational efficiency.
• Credit Risk Assessment:
o Integrated loan application data and borrower information into a unified database.
o Developed and deployed predictive models using logistic regression and XGBoost, reducing loan default rates by 18%.
o Implemented a Power BI reporting system for real-time risk assessment and decision support.
• FMCG Inventory Forecasting:
o Developed an inventory forecasting model using moving average analysis.
o Achieved a 15% reduction in holding costs annually while maintaining an 85% service level through dynamic inventory adjustments and Power BI dashboards.
• E-commerce Sales Performance:
o Analyzed sales and Google Ads data using Tableau, leading to a 20% increase in conversion rates and a 25% higher ROI.
o Addressed UI/UX issues, reducing bounce rates by 30% and increasing session duration by 40%.
o Provided actionable recommendations that improved overall sales performance by 30%.

Data Analyst

Aug 2017 - Feb 2019 

Manufacturing and Logistics Optimization:
o Conducted regression analysis to identify factors affecting costs, achieving an 8% reduction in raw materials expenses and a 5% decrease in transportation costs.
o Utilized ETL operations and statistical procedures for cost optimization and process improvements.
• Big Data Analysis for FMCG Sector:
o Leveraged Big Data tools for data collection and analysis, focusing on optimizing manufacturing and logistics processes.
o Monitored automated loading processes for accuracy and efficiency.

Education

Central Michigan University

Master of Science - MS, Information Systems Aug 2022 - May 2024 

Grade: 3.95 / 4.00

Course Work : 
Business Data Analytics -
BIS 580 Business Decision Modeling 
BIS 581 Business Data Analytics 
BIS 582 Data Visualization: Theory and Practice

Project Management -
BUS 501 Project Management Fundamentals
BUS 503 QR Applied Lean Six Sigma 
BUS 505 Application of Project Management Principles 

Other Credits
BIS 628 Application Development 
BIS 636 Systems Analysis and Design 
BIS 638 Database Management for Business Systems

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