Summary
Overview
Work History
Education
Skills
Timeline
Generic

Ravitej Kedasi

Mumbai

Summary

Data scientist experienced working with large datasets, breaking down information and applying interpretations to complex business concerns. Proficient in distribution, predictive and hypothetical modeling. Skilled in cross-functional collaboration. Optimizes processes and communication and drive results. Dedicated to continuously improving professional knowledge and business operations by applying top-notch skills.

Overview

2
2
years of professional experience

Work History

Senior Manager - Actuary

HDFC ERGO General Insurance
Mumbai
08.2023 - Current
  • Renewal Policy Prediction.
  • Designed a predictive model to forecast renewal probabilities, enhancing customer retention strategies, and optimizing renewal processes.
  • Performed univariate analysis, feature engineering, and variable selection, and applied advanced statistical techniques and machine learning algorithms.
  • Conducted forward testing and achieved an average error rate of 1.43% monthly.
  • Customer Lifetime Value Prediction.
  • Identified customers who promise the highest potential for long-term profitability.
  • Conducted data extraction, cleansing, and integration in SAS for different policy ages.
  • Provided strategic pricing recommendations based on customer profitability analysis.
  • Conducted Two-Wheeler Surveyor Removal Analysis by creating a scorecard evaluating workshops on fraud risk, repudiation rates, and claim amounts.
  • Leveraged NLP techniques for improved STP process for claim auto settlement.
  • Serving as Data Steward for Motor Business, overseeing data governance to ensure accuracy, compliance, and integrity across all data assets.

Analytics Consultant

Mastercard(Data & Services)
Gurugram
11.2022 - 04.2023
  • Developed industry-first product leveraging 3rd-party airline data to generate recurrent revenue for Mastercard and issuers through hyper-personalized offers.
  • Enhanced targeting efficiency by 25% using 4+ ML models and improved traveler spend per card through advanced data analysis
  • Created 500+ variables for propensity models and achieved a 150% lift score with a 0.76 AUC-ROC using tree-based classifiers, supported by dynamic Power BI dashboards.

Education

PostGraduate Diploma in Business Analytics - GPA 8.1

IIM CALCUTTA, IIT KHARAGPUR, ISI KOLKATA
04-2023

B.Tech in Mining Machinery Engineering - GPA 6.89

IIT DHANBAD
DHANBAD
04-2021

Intermediate - Percentage : 97.8%

Narayana Junior College
Visakhapatnam
04-2017

10th - Percentage : 97%

Amar Concept School
Visakhapatnam
04-2015

Skills

  • Statistical Analysis
  • Python
  • R
  • SQL
  • SAS
  • Data Mining
  • Machine Learning
  • Deep learning
  • Business requirements gathering
  • PowerBI
  • Story Telling

Timeline

Senior Manager - Actuary

HDFC ERGO General Insurance
08.2023 - Current

Analytics Consultant

Mastercard(Data & Services)
11.2022 - 04.2023

PostGraduate Diploma in Business Analytics - GPA 8.1

IIM CALCUTTA, IIT KHARAGPUR, ISI KOLKATA

B.Tech in Mining Machinery Engineering - GPA 6.89

IIT DHANBAD

Intermediate - Percentage : 97.8%

Narayana Junior College

10th - Percentage : 97%

Amar Concept School
Ravitej Kedasi