amar kumar

Data Analyst

Krazybee•  April 2019 - Present

As part of the Risk and Data Science team, my work is to mitigate and minimize risk of the portfolio and increase the business at the same time with the minimum manual interventions. Work involves making policies with the help of data from various internal and external data sources using analytics, ML and DL techniques so as to identify credit worthiness pool of customers. Work exposed me to techniques like scorecard development for loan approvals, Neo4j for Fraud and Anomaly detection, Decision Tree, Random Forest and other supervised ML algorithms for policy making as well as prioritization bucketing for collection improvement. Technologies used are Python, SQL, R, Neo4j, NLTK etc

Business Analyst

Affine Analytics•  June 2018 - April 2019

• Role was to convert the client's business requirements into an analytical solutions on top of which machine learning and statistical analysis could also be applied • Work exposed me to the technologies like SQL, Python and Power BI and techniques like A/B testing, Unsupervised Learning for segmentation problems, Delivery Health Report etc • Apart from Adhoc Analysis, main objective was to identify the best performing campaigns and related outcome metrics along with monitoring of all campaigns with the help of Delivery Health report with the optimal measurement window

content developer

Doubtnut•  May 2017 - June 2017

• Worked with the content development team to make video solutions on a variety of mathematical problems • Used digital art touchpad and OneNote to create contents • Worked on Dashboard as well as repository problems • Analysed negative feedbacks and devised plans to minimize it and optimized contents • Outcome: Internship increased my analytical thinking