Summary
Overview
Work History
Education
Skills
Certification
Languages
Timeline
Generic

Shanmukha Ramakrishna

Senior Applied Data scientist
Gurgaon

Summary

Experienced data scientist with 6 years in developing data-intensive applications and addressing complex architectural and scalability challenges across various industries. Proficient in predictive modeling, data processing, and data mining algorithms. Strong Python scripting skills and a solid background in statistical analysis, enabling the derivation of actionable insights for informed decision-making and business growth, particularly in retail and finance sectors. Skilled in Python, PySpark, and machine learning techniques. Proven ability to lead cross-functional teams and develop innovative solutions to complex business problems.

Overview

6
6
years of professional experience
6
6
Certifications

Work History

Lead Applied Data Scientist

Dunnhumby
05.2023 - Current
  • Led a team of data scientists for a food client, developing multiple product combinations and a predictive model that significantly increased the digital customer base.
  • Designed and automated a product recommender for the retail industry, generating top product comparisons year-over-year and identifying high-revenue-generating products monthly.
  • Conducted training sessions on PySpark, Hadoop Ecosystem, Spark Ecosystem, and Spark Architecture, covering execution modes such as client and cluster mode.
  • Acted as the point of contact for a Neural Network model I designed, sharing insights and findings with cross-functional teams.
  • Successfully pitched a comprehensive yearly plan to a client, resulting in a contract extension for an additional year.
  • Automated repetitive tasks using Python scripting, significantly improving efficiency in the analytical process.

Senior Applied Data Scientist

Dunnhumby
10.2021 - 04.2023
  • Developed a highly effective propensity model and customer acquisition model with an AUC score of 0.83, utilizing PCA for feature selection, and Gradient Boosting for baseline modeling.
  • Additionally, I utilized the Positive Unlabeled Learning (PU Bagging) approach for neural networks.
  • Created a customer lifecycle migration using loyalty segmentation to effectively score customers and provide detailed analysis on customer uplift, downgrade, and retention.
  • Developed scalable scripts and automated multiple processes, increasing efficiency and reducing workload.
  • Participated in RPI Hackathon and contributed to the Omnichannel group's project, which focused on the importance of customers in an omnichannel setting.
  • Developed a customer forecasting model using FB Prophet to forecast customer trends for the upcoming year using historical data.


Data Analyst

ATOS Syntel
07.2018 - 09.2021
  • Developed Data Analysis & Dashboard preparation using Tableau and Advanced Excel.
  • Designed Test and Control groups to check the impact of multiple campaigns and calculated their uplifts and significance of each test.
  • Worked on IBM Maximo and assisted on anomaly detection, Trained on different ML and Big Data Courses.

Education

Bachelor of Technology - Electronics And Communication Engineering

Vellore Institute of Technology (VIT University)
Vellore, India
04.2001 - 01.2018

Skills

Python

Certification

Advanced Pyspark, 2022

Languages

English
Advanced (C1)

Timeline

Lead Applied Data Scientist

Dunnhumby
05.2023 - Current

Senior Applied Data Scientist

Dunnhumby
10.2021 - 04.2023

Data Analyst

ATOS Syntel
07.2018 - 09.2021

Bachelor of Technology - Electronics And Communication Engineering

Vellore Institute of Technology (VIT University)
04.2001 - 01.2018

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Shanmukha RamakrishnaSenior Applied Data scientist