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Predicted customer transactions using recency, frequency, spend behaviour and Social Network metrics over lifetime using MLlib

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customer-behavior-and-segmentation customer-relationship-management graphframes mlib pyspark recency-frequency-monetary social-network-analysis spend-analysis

customer-spend-behavior-and-social-network's Introduction

Hello there :)

Welcome to My Profile!

I am an analytics professional with 3 years of work experience. I recently graduated with a Master of Science in Business Analytics (STEM) and seeking full-time positions. My interest lies in analysing customer behaviour for risk assessment and marketing. I have worked on customer segmentation, propensity data models and churn prediction.

Given the remote location of my undergraduate campus, I found myself relying heavily on online shopping. My curiosity about product recommendations sparked a fascination with Analytics. Through a blend of e-learning, flexible courses, and internships, I pursued knowledge in this field. Drawn by the excitement of data science and machine learning, I was inspired to take on a new challenge โ€“ dipping my toes into the waters of software engineering. (pun intended: I have majored in Ocean Engineering)

Upon completing my degree, I joined Barclays, where I immersed myself in development role. Simultaneously, I dedicated time to self-initiated machine learning projects, nurturing my passion. However, my aspiration for a full-time career in Data Science led me to join Kotak Securities. Here, I engaged deeply in customer and marketing analytics, thriving under an exceptional manager.

Yet, a persistent concern lingered โ€“ the absence of formal education in Analytics and Machine Learning. Fueled by a lifelong dream of pursuing education abroad, I turned to my manager for guidance. His invaluable advice steered me towards the Business Analytics program that blended my robust technical acumen with a strong business focus. This journey proved transformative, refining my ability to tackle complex problems and craft effective analytical solutions.

More resolute than ever, I am now eager to embrace full-time opportunities in Data Science and Analytics.

Tools & Technologies :

My Skills

Education :

  • Masters in Business Analytics, UC Davis Graduate School of Management
  • Master of Technology and Bachelor of Technology in Engineering, Indian Institute of Technology Kharagpur

Experience :

  • Data Scientist, Associate Vice President, Kotak Securities
  • Graduate Analyst, Barclays

Internships & Practicum

  • Data Scientist, Practicum, Qualcomm
  • Research Assistant, Cambridge Judge Business School
  • Data Scientist Intern, Kotak Securities
  • Machine Learning Intern, RedX Innovation Lab
  • Data Analyst Intern, Flytxt

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