Kunal Maurya

Data Scientist

Bengaluru, Karnataka, India8 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in predictive modeling for credit optimization.
Proven track record in reducing underwriting turnaround times.
Skilled in machine learning and data analysis.

Stackforce AI infers this person is a Data Scientist specializing in Fintech with a focus on predictive analytics.

Contact

Skills

Core Skills

Data ScienceMachine LearningPredictive ModelingOptimizationData AnalysisResearch

Other Skills

SQLPython (Programming Language)Data ModelingExtract, Transform, Load (ETL)Credit Risk Managementcredit riskData WarehousingPower BIManagementPublic SpeakingLeadershipCustomer ServiceTeam ManagementTeamworkTeam Leadership

About

Data Scientist, Working on Predictive modelling for Credit Process Optimization and Risk Reduction. Skilled in Machine learning, Deep learning, pyspark, kubernetes, Python, R-programming, SQL, and Redshift..

Experience

8 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

3 yrs 11 mos

Current Experience

Fairmoney

Data Scientist

May 2022 – Present · 3 yrs 11 mos · Bengaluru, Karnataka, India

SQLPython (Programming Language)Data ScienceMachine Learning

Paytm

Senior Data Scientist

Apr 2019 – May 2022 · 3 yrs 1 mo · Noida, Uttar Pradesh, India

Predictive ModelingData ModelingData Science

Axio

Decision Scientist

Sep 2016 – Aug 2018 · 1 yr 11 mos · Bengaluru Area, India

Developed and calibrated a customer management score using multiple data sources including Bureau data to enhance and renew the customers.
Designed and implemented optimization framework and achieved 30% reduction in 75th Percentile TAT.
Achieved significant reduction of underwriting TAT using data-driven predictive model based filtering.

Raymond limited

Summer Trainee

May 2015 – Jul 2015 · 2 mos · Mumbai Metropolitan Region

Raymond limited, Analysis of plan Released by SCM(Supply Chain Management)
Study the root cause behind the delay of plans at dyeing and re-combing stage
Studied every plan released by SCM for 1 month, Identified the 4 root cause of delay in dyeing department.
Attributed % delay of dyeing and re-combing dept. ,enabling management to take suitable action
Delay time can be reduced by proper planning, which could lead to 10% savings in transportation cost