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Pranav Dev Kumar

@pranavdevkumar

Data Scientist at Great Learning

Bengaluru, India

Great LearningArmy Institute of Technology

Pranav Dev Kumar is a Data Scientist based in Bengaluru with extensive experience in machine learning and analytics. He has successfully developed automation processes and predictive models that improved operational efficiency and reduced risk for companies like Great Learning, Monsoon CreditTech, and FinBox. Pranav holds a B.E. in Computer Engineering from the Army Institute of Technology.

Experience

Data Scientist

Great Learning

•Oct 2023 - Present•Bangalore, India

Developed libraries and introduced processes to improve existing automation process, that would save company over 100 hours of development time. Led the analytics of a new department by creating reports, roadmaps, plans and process structures that improved work efficiency by 50%. Led the development of lead quality model for sales that improved efficiency of sales personnel by 20% over previous iteration of the model.

Data Scientist

Monsoon CreditTech

•Mar 2023 - Aug 2023•Gurugram, India

Devised and deployed lightgbm models that increased customer approvals by 20% and reduced default rate by 29%. Built a hyperparameter optimization library, resulting in 20% improvement in model results and reduction in training time by 15%. Led a team for the development of automated ML solutions and organised roadshows with clients and helped them onboard onto the new product. Initiated a custom of gifting books on personal finance management to new hires to improve morale and financial health.

Data Scientist

FinBox

•Aug 2021 - Feb 2023•Gurugram, India

Created machine learning models using algorithms like logistic regression, XGBoost and Light-Gbm to create ensemble learning models that reduced client risk by 10% and increased approval rates by 20% on their live data. Utilized alternate sources of data like device data, SMS data, location data etc for predicting risk across various client portfolios. Optimized 8 data pipelines to reduce latency from 24 seconds to 4 seconds. Worked on creating structured data from unstructured SMS data using regular expressions. Developed polished visualizations to share results of data analyses using Grafana which were able to highlight serious latency issues with FinBox’s premier product.

Strategy Analyst Intern

RedCarpetUp

•Dec 2020 - Jul 2021•Gurugram, India

Risk analysis and strategy alignment for new product by company. Coordinated launch of new product on which over 500 new customers were onboarded. Reduced risk of default by over 30% for their premier product

Business Operations Associate

ZS Associates

•Jul 2019 - Apr 2020•Pune, India

End to end process ownership of incentive compensation process for over 100 sales professionals. Responsible for maintaining client SLA for real time support and reporting. Goal setting and tracking progress of various sales representatives for US based client. Created Natural Disaster impact analysis that corrected sales incentives for over 50 sales professionals conducting sales in specific disaster struck areas.

Education

Army Institute of Technology

B.E.

Computer Engineering

Aug 2015 - Jun 2019•Grade: 7.04/10

Sanskriti School

High School (Class 12th)

Apr 2013 - May 2014•Grade: 92.8%

Licenses & Certifications

Data Science Specialization

Deeplearning.ai

Deep learning specialization

Deeplearning.ai

Skills

Python
Pandas
NumPy
Matplotlib
Seaborn
Scikit-Learn
SQL/PostgreSQL
Machine Learning
Grafana
Logistic Regression
Random Forest
XGBoost
Lightgbm
Bayesian hyperparameter optimizations techniques
ensemble learning
Data Wrangling
MS-Excel
Data Manipulation
AWS
Airflow
GCP
GitHub
GitLab