نبذة عني
Analytically rigorous Data Scientist with a Post-Graduate Diploma in Predictive Analytics (Conestoga College, Canada) and a B.Sc. in Mathematics (University of Kerala). Skilled in Python, SQL, machine learning, statistic…
Analytically rigorous Data Scientist with a Post-Graduate Diploma in Predictive Analytics (Conestoga College, Canada) and a B.Sc. in Mathematics (University of Kerala). Skilled in Python, SQL, machine learning, statistical modelling, data wrangling, exploratory data analysis (EDA), and predictive modelling using Scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn. Experienced in building end-to-end data science pipelines — from data collection and cleaning through feature engineering, model training, cross-validation, and data visualisation — with a focus on translating complex data into actionable business insights. Complemented by a Diploma in Python Full-Stack Development and a disciplined professional background in quality-critical international manufacturing environments supplying Toyota and Honda. Currently based in Dubai on a UAE Visit Visa and available to join immediately with no notice period.
الخبرة
Robotic Welding Operations Associate
Operated and monitored robotic welding systems used in the production of automotive components for Toyota and Honda. Applied structured root-cause analysis and systematic defect investigation to resolve production anomalies. Collaborated cross-functionally with engineering, quality control, and production planning teams in a diverse international workplace, developing strong stakeholder communication and cross-cultural teamwork skills.
CNC Wire form Operator
Operated precision CNC wire form machines to produce high-tolerance metal components. Monitored real-time machine parameters and interpreted technical blueprints. Promoted from Stamping Associate to CNC Operator within 3 months on merit.
المشاريع
Customer Churn Prediction | Machine Learning
Developed an end-to-end machine learning model to predict telecom customer churn using demographic, service usage, and billing data.Built a Logistic Regression classifier achieving 82% accuracy; applied threshold tuning to improve churn recall for high-risk customers by 18%.Provided data-driven retention recommendations targeting high-risk segments with contract upgrade and loyalty offers.