Aditya Jaiswal - Data Scientist | Advanced Analytics & Machine Learning Specialist - Data Scientist | Advanced Analytics & Machine Learning Specialist

About

Highly accomplished Data Scientist with 5+ years of experience leveraging advanced analytics and machine learning to drive significant business growth and operational efficiency. Proven expertise in developing and deploying high-performing predictive models, optimizing data quality, and automating workflows to deliver measurable impact. Adept at transforming complex data into actionable insights and communicating strategic recommendations to stakeholders, fostering data-driven decision-making.

Work Experience

Data Scientist

HERO FINCORP

May 2023 - Present

New Delhi, Delhi, India

Currently leading advanced analytics and machine learning initiatives to develop and deploy predictive models, optimizing financial risk assessment and operational efficiency for a 3000Cr portfolio.

Developed and deployed a high-performing Credit Risk Scorecard for Used Car Loans (UCL) using XGBoost, increasing the approval rate by 13% and reducing Non-Performing Assets (NPA) by 2% for a ₹3000Cr portfolio.
Built a Decision Tree Banking Scorecard for Open Market Personal Loans (OMPL), leveraging structured and unstructured financial data to enhance risk assessment, increasing acceptance by 3% while reducing the event rate.
Designed an end-to-end Logistic Regression pipeline, incorporating IV/CSI calculations, correlation analysis, and Recursive Feature Elimination (RFE), which reduced feature selection time by 70%.
Architected a plug-and-play framework for automated reporting, reducing development time by 90% and streamlining data delivery.
Developed an AI agent for analyzing call center recordings, extracting customer sentiment, and providing real-time suggestions to enhance agent performance and customer experience.
Engineered an NLP-powered automation pipeline to extract, parse, and standardize financial statements (PDFs, ZIPs), reducing manual processing time by 85% and improving feature engineering efficiency for the UBL Scorecard.

Analyst

PARTHA (ED-TECH)

Jul 2018 - Mar 2021

Kolkata, West Bengal, IN

Performed comprehensive data analysis on digital marketing data, identifying key performance trends and delivering actionable insights to improve campaign effectiveness.

Conducted in-depth exploratory data analysis (EDA) on digital marketing data using Python and SQL, identifying over 5 key performance trends that increased campaign conversion rates by 20%.
Delivered 15+ advanced Excel reports, transforming complex data into clear, actionable insights for strategic decision-making.

Education

Data Science and Applications

INDIAN INSTITUTE OF TECHNOLOGY MADRAS

CGPA: 7.75

Jan 2022 - Apr 2023

Chennai, Tamil Nadu, IN

Civil Engineering

JADAVPUR UNIVERSITY

CGPA: 7.03

Jul 2014 - Jul 2018

Kolkata, West Bengal, IN

Publications

A Comparative Study of Portfolio Optimization Using Reinforcement Learning With Hierarchical Risk Parity and Eigen Value Portfolio

Research Gate and Cornell University Archives

Authored and published research exploring advanced portfolio optimization techniques using Reinforcement Learning with Hierarchical Risk Parity and Eigen Value Portfolio.

Skills

Machine Learning

Logistic Regression
Boosting (Gradient, XGBoost)
Decision Trees
Random Forest
Bagging
Neural Networks
Deep Learning
SVM
NLP
GenAI
Predictive Modeling
Model Evaluation

Programming & Tools

Python
R
SQL
Advanced Excel
Git
Docker
Oracle
Azure
AWS
Databricks
Streamlit
Flowise
PowerBI

Data Science Libraries

Pandas
NumPy
Scikit-learn
Matplotlib
Seaborn
PySpark

Advanced Analytics & Data Management

Statistical Analysis
Hypothesis Testing
Regression Analysis
Data Mining
Data Quality Management
Data Analysis
Data Visualization
Project Management