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Data Science with 4+ years in ERP Systems & Machine Learning
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MSc Data Science graduate with a strong foundation in machine learning, data analysis, and predictive modeling, combined with hands-on experience in ERP systems and client-facing roles. Skilled in Python, SQL, and data visualization tools such as Tableau and Seaborn. Academic background includes projects applying deep learning (LSTM), Random Forest, and web-based ML deployment using Flask. Demonstrated ability to bridge technical solutions with real-world business processes through ERPNext implementation, data migration, and workflow automation. Adept at both independent research and cross-functional collaboration, with a focus on delivering data-driven insights and operational efficiency.
University of Roehamton, London
MSc · Data Science
January 1, 2023 – May 1, 2024
Calicut University Institute of Engineering and Technology
B-Tech · Information Technology
August 1, 2014 – April 1, 2018
Craft Interactive Technology
ERP Consultant
August 1, 2018 – October 1, 2022
Dubai, Dubai, United Arab Emirates
CUSTOMER CHURN PREDICTION (A comparative analysis of Long Short-Term Memory, Random Forest, and Feedforward Neural network Models)
January 1, 2024 – May 1, 2024
This project involves a comparative analysis of three machine learning models - Long Short-Term Memory (LSTM), Random Forest, and Feedforward Neural Networks - applied to predict customer churn, evaluating their performance and effectiveness in forecasting customer attrition. Additionally, a simple website is implemented to demonstrate the practical application of these models, allowing users to input customer data and receive churn predictions.
ROBOTIC VEHICLE CONTROLLED VIA IOT TECHNOLOGY (Main project)
April 1, 2018 – April 1, 2018
System controls the robotic vehicle from a remote area by using an android application with the concept of internet of things (IOT). It also finds application in areas like huge turbines.
SMART SHOPPING APP WITH ADVANCED QR CODE TECHNIQUE (Mini project)
April 1, 2018 – April 1, 2018
System recognizes QR code image using an android application in the smart phones to provide various services. It makes shopping easier and provides a better role for customers.
SAP B ONE – Functional Experience
Unknown
June 1, 2026 – Present
SAP Material Management (MM) Power User Course
Unknown
October 28, 2019 – Present
Cultural Fit Analysis
The candidate's academic projects show a blend of traditional IT (IoT, QR code apps) and modern Data Science applications (Customer Churn Prediction). The ERP consultant role indicates experience in diverse industries and client-facing scenarios, suggesting adaptability and a collaborative mindset. The transition from an ERP consultant to a Data Science MSc indicates a proactive approach to career development and a willingness to learn new domains, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's professional summary highlights adeptness at independent research and cross-functional collaboration, which are crucial for data science roles. The ERP consultant experience also demonstrates client communication, problem-solving, and business process analysis skills, indicating a good operational fit for roles requiring interaction with stakeholders and understanding business context.