Pradhyumn Singh

Jaipur

Summary

Results-driven Data Scientist and Assistant Manager - Analytics with expertise in machine learning, time series forecasting, and predictive modelling. Skilled in Java, Python, R, SQL, and Lean Six Sigma, with a proven track record in delivering actionable insights, process optimisation, and cost reduction. Adept at leading teams and leveraging data-driven strategies for business growth.

Overview

years of professional experience

Work History

Teleperformance

Assistant Manager, Analytics

04.2020 - Current

Job overview

Led a 14-member analytics team, achieving a 10% performance boost through Lean Six Sigma projects.
Engineered and deployed a predictive analytics model leveraging advanced forecasting techniques to accurately predict customer churn, evaluate satisfaction rates, and optimise volume handling metrics.
Delivered $195k+ in cost savings and $1.2M+ in additional revenue via process improvements across departments.

Education

IIT Kanpur

Master's from Data Science & Business Analytics

Rajasthan Technical University

Bachelor of Engineering from Mechanical

Scalar Academy
Bangalore

Full Stack Development

Skills

Generative AI
Large Language Models
GPT Models
Knowledge Graphs
Prompt Engineering
NLP
Text Analytics
Information Extraction
Text Mining
Transformers
LSTM
Word2Vec
Deep Learning
AI
RNN
CNN
XGBoost
Random Forest
Reinforcement Learning
Data Engineering
Processing
PySpark
SQL
Hive
ETL Pipelines

Big Data Analytics
Visualization
Reporting
Tableau
Power BI
Python
Seaborn
Matplotlib
Statistical Modeling
Forecasting
Bayesian Methods
Regression
Time Series
Clustering
Programming
Java
MEAN stack
CI/CD
Project Management
Process Management
Green Belt Lean Six Sigma
Agile
Risk Management

Projects

M&A Analysis Using AI & Machine Learning, Predicted M&A deal success with 68% accuracy using Random Forest and Bayesian Models., Developed a Hybrid LSTM-SARIMA model for market trend forecasting, reducing MAPE to 12.35%.

Gen-AI chatbot for automated query resolution, built a GPT-powered chatbot integrated with knowledge graphs, reducing customer response time by 30%, engineered NLP pipelines for contextual search, enabling more accurate automated responses Text Mining & Predictive Analytics for Customer Insights, Developed NLP-based customer segmentation models, leveraging Transformers, LSTM, and PyTorch., Created an end-to-end ETL pipeline in PySpark for real-time analytics, improving data accessibility and analysis speed.

Languages

English, Fluent
German, B1

Timeline