Mohit Bansal
Data Science Developer

Mohit Bansal

Previously from PwC, AXA, and Allianz Insurance Group.

About

Mohit Bansal is a data scientist with mixed modeling experience. Over the past 10 years, he has worked for top global brands like PwC, AXA, and Allianz Insurance Group, where he has gained expertise in predictive modeling, machine learning, artificial intelligence, business analytics, and data engineering. He also has skills in algorithms such as Linear and Logistic Regression, KNN, Clustering (K-means), Naive Bayes Theorem, Principal Component Analysis, Support Vector Machines (SVM), GBM, Recommendation System, Computer Vision, and NLP, as well as with tools like Power BI, VBA, and Tableau.

Employment

4 roles
Jan 2021 - Jun 2022 1 year 5 months
Data Scientist
Freelance
  • Worked on various data science analytics projects which include developing and implementing ML and AI models, developing pricing tools and dashboards for senior management and actionable insights for business.
  • Experienced in business use cases across industries, such as insurance, banking, pharma/life sciences, energy conservation, retail outlets, supply chain, taxation fraud and FMCG industries, rural development, and aviation.
  • Used machine learning algorithms such as such as Linear and Logistic Regression, KNN, Clustering (K-means), Naive Bayes Theorem, Principal Component Analysis, Support Vector Machines (SVM), GBM, Recommendation System, Computer Vision, and NLP.
  • Tools and technologies: Advanced SAS (Base SAS Certified), SQL, Tableau, VBA, RStudio and Python, MS Azure, AWS, Databricks, EMBLEM, RADAR (TowerWatson software), and MS Office.
Nov 2019 - Nov 2021 2 years
Technical Lead cum Manager
PwC India
  • Worked on data science and analytics; developing predictive machine learning models and dashboards for visualization.
  • Developed five-year AI plan for one of the clients in Dubai.
  • Analyzed and developed Tableau dashboards for PM schemes.
  • Worked on GST e-Way Bill Analysis, which included fraud analytics to identify tax evasion for goods movement.
  • Developed customer retention model (US) for motor insurance to predict retention probability.
  • Built an NLP model to shortlist resumes for CV screening saving time and finances.
Jan 2017 - Nov 2019 2 years 10 months
Actuarial Consultant & Assistant Manager
AXA Business Services Pvt. Ltd.
  • Developed ML models, dashboards, and pricing models for insurance.
  • Managed a team of three with their project delivery.
  • Developed risk premium models for motor and property.
  • Built predictive motor pricing models using ML algorithms.
  • Led model development, validation, implementation, and monitoring the market performance.
  • Simulated the pricing of the current vs. estimated model.
Mar 2015 - Dec 2016 1 year 9 months
Senior Consultant, Data Analytics
Allianz Insurance Group
  • Worked on claims analytics, dashboards and pricing models for insurance.
  • Developed a logistic model to predict customer retention.
  • Identified brokers for sales opportunities.
  • Worked on Motor Loss Ratio Recovery (UK); accident and UW year-based LRs, claim frequencies and severity by perils.

Education

Jan 2019 - Jan 2020 1 year
Post Graduate Program, Machine Learning & Artificial Intelligence
Great Lakes Institute of Management
Jun 2010 - May 2012 1 year 11 months
Master of Science, Applied Operational Research
Delhi University
Jun 2007 - May 2010 2 years 11 months
Bachelor of Science, Mathematics
Ramjas College, Delhi Univserity

Portfolio

8 items