Data Scientist & Software Developer with expertise in machine learning, backend systems, and data engineering. Currently pursuing MSc in Data Science at Hochschule Fulda.
Associate Software Developer → Data Scientist
I'm a passionate Data Scientist and Software Developer from Chennai, India, currently based in Fulda, Germany. With a strong foundation in both software engineering and data science, I bridge the gap between raw data and actionable insights.
My experience spans building scalable enterprise systems, designing ML models with high prediction accuracy, and exploring blockchain-based financial solutions for social impact. I thrive in Agile environments and bring both technical rigor and creative problem-solving to every project.
Authors: M.S.Minu, Sharan S, Rohit Suryaa S, Jovan Titus J
Proposed an adaptive control methodology integrating real-time data analytics with pitch prediction. Reduced pitch angle error rate from 8.6% to 2.3%, achieved 96% prediction accuracy, and delivered a +21% gain in power output (841.54 to 1019.41 kWh) across 3 wind turbines over 6 months.
🔬 From Paper to Implementation
Extended with XGBoost ML model, 26 engineered features, 10-min resolution data from 3 x 250kW turbines, and a data-driven residual correction layer.
Authors: M.S.Minu, Sharan S, Rohit Suryaa S, Jovan Titus J · pp. 683–690
Designed a decentralized agricultural finance framework using Ethereum smart contracts to automate loan disbursement, payments and insurance. Enabled transparent supply-chain traceability, increasing farmer adoption of digital transparency from below 50% to ~80%.
🔬 From Paper to Implementation
Full working system with Ethereum smart contracts, Web3.py backend, Ganache local blockchain testing, and a supply-chain traceability layer.
Performed exploratory data analysis and feature engineering on a Kaggle dataset to identify key attrition drivers. Developed and evaluated predictive models delivering actionable insights to support HR workforce retention strategies.
End-to-end supply chain analytics pipeline on 100,000+ Olist Brazilian e-commerce transactions. Built four model tiers from naive baselines to SARIMA and XGBoost. Best model SARIMA(0,1,2)(1,1,1,26) achieved 18.5% MAPE within the industry sub-20% benchmark. Includes EOQ inventory optimisation (1,259 units/order, 95% service level), delivery performance analytics across 110,123 orders (92.1% on-time), seller risk scoring across 881 sellers, and an interactive Plotly Dash dashboard.
Focus areas: Machine Learning, Applied Mathematics, Data Mining & Predictive Analytics, Big Data Technologies & Distributed Systems, Data Visualization & Business Intelligence, Process Mining, Data Ethics & GDPR Compliance, Research Methods.
Focus areas: Data Structures & Algorithms, DBMS, Software Engineering, Computer Networks, Operating Systems, Object-Oriented Programming, Database Security & Privacy, Compiler Design, Computer Architecture.
Airbus Beyond
Coursera
365 Careers · Udemy
Coursera
Open to full-time roles, internships, and research opportunities in Data Science and Software Engineering.