Effy Paulose

Hi, I am Effy - a Certified Data Science professional who helps solve real-world business challenges by making informed decision-making.

I do this by implementing various Machine Learning Techniques, for example, in my previous company, Oracle, while working with the Quality Circle team, I spearheaded an analysis of customer satisfaction reports pinpointing key drivers of low scores, and executed comprehensive research strategies using multiple regression techniques. This led to a 13% improvement in customer satisfaction metrics and a 7% reduction in customer churn rate.

I also developed a machine learning algorithm with 77.16% accuracy to predict sales in the e-commerce platform “Wish” using customer segmentation analysis, as a part of my Professional Certificate Course in Applied Data Science program at the Indian Institute of Technology.

Lastly, I acquired various skills and techniques while doing my Predictive analytics diploma from the University of Winnipeg and Advanced Google Analytics Certification. My project on Time series to predict monthly demand for products based on historical sales data used my skills in Python, Statistics, Machine Learning Techniques, Neural Networks and Deep Learning.

By implementing these comprehensive research strategies, I delved deep into understanding the customer’s needs and preferences. As a result, the organization witnessed a significant enhancement in customer satisfaction levels. Customers were not just satisfied; they were genuinely delighted with the personalized attention and solutions we provided. It also helped with better sales and reputation.

Overall, I find this work challenging and satisfying because it gives me the power to change organizational decisions and contribute to the success of the organization.

Technical Analyst at Oracle

I took charge of analyzing customer satisfaction reports within the Quality Circle Team, pinpointing the key reasons for low scores and implementing comprehensive research strategies. This resulted in a significant 7% decrease in customer churn rate within three months. Also, conducted quarterly meetings to present the findings to a team of over 20 members, highlighting key insights from the reports and suggesting actionable steps to boost customer satisfaction metrics by 13%. Furthermore, I acted as a liaison for higher levels of technical support, managing escalations to ensure timely issue resolution and ultimately improving overall customer satisfaction ratings.

Post Degree Diploma in Prediction Analytics from The University of Winnipeg

Mastering predictive analytics through UWinnipeg PACE has equipped me with a comprehensive skill set essential for thriving in the data-driven world. From proficiency in machine learning algorithms and statistical modeling to adeptness in R programming, SQL querying, and data visualization, I have honed my abilities to extract actionable insights from complex datasets. Additionally, I possess practical experience in utilizing tools like Microsoft Power BI and TensorFlow for business analytics and deep learning applications. With a keen focus on critical thinking and effective communication, I am adept at presenting findings and recommendations to diverse stakeholders.