Hi, I'm Sagar Paudel. I’ve been working for over 4 years as a data scientist in the most reputed and pioneering Fintech company of Nepal i.e. Extensodata, an F1 Soft group of Companies.

■ Used to analyze data from the multiple CBS system.
■ Have the ability to deal with messy and poor data in order to obtain valuable insights.
■ Have in-depth knowledge of data science problems with appropriate AI solutions that leverages clients’ business rapidly compared to traditional software.
■ Have developed multiple products that are deployed in multiple banks in Nepal which have a direct impact on thousands of customers on daily basis.
■ One of the popular products is Foneloan.

■ Team Support and Mentorship.
■ Architecture Design of the DS Product.
■ Technical Feasibility Study.
■ Proof of Concept (POC).
■ Coordination with Business Team.
■ Standardization of Data Science Practices.
■ Product-specific Algorithm Development.
■ EDA and Feature Engineering.
■ End to End Engine Development.
■ ETL Pipeline.

■ 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: Data Science(primary), Machine Learning, Deep Learning, NLP(enthusiast), Computer Vision(enthusiast), Reinforcement Learning(enthusiast).
■ 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬:
━ Python (scipy, math, numpy, pandas, dask, pyspark, scikit-learn, mlib, matplotlib, seaborn, plotly, pytorch, tensorflow, nltk, opencv, spacy, genism, django, flask).
━ R, Java, C, C++, HTML, CSS, JS (Secondary)
■ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞: MySQL. Oracle, MSSQL, SQLite, MongoDB
■ 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Hadoop, Spark, Sqoop, Hbase, Hive, Kafka, Nifi, Druid, Kylin
■ 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: PowerBI, Tableau, Click View, Superset, Plotly, Seaborn, Matplotlib
■ 𝐉𝐨𝐛 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐢𝐧𝐠: Crontab, Apache Airflow
■ 𝐄𝐓𝐋 𝐓𝐨𝐨𝐥𝐬: Pentaho, pandas, Pyspark
■ 𝐀𝐖𝐒: EC2, EMR, S3, Lambda
■ 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Docker, Kubernetes
■ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐓𝐨𝐨𝐥𝐬: Git, Jira, Trello
■ 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐌𝐞𝐭𝐡𝐨𝐝𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Agile (Scrum Framework), Kanban
■ 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Windows, Linux

Extensodata Pvt. Ltd. | Jan 2022 - Present

■ Data Science Team Support and Mentorship
■ Research and Standardization of Data Science Practices
■ Coordination with the Business Team
■ Technical Feasibility Study
■ Architecture Design
■ Proof of Concept (POC)

Extensodata Pvt. Ltd. | Jul 2021 - Dec 2021

■ Research on standard practices and new technologies.
■ Understanding the business problems.
■ Requirements elicitation.
■ Technical feasibility study.
■ Product architecture design.
■ ETL pipeline.
■ EDA and Feature engineering.
■ Modeling and packaging.
■ Team support and mentorship.

Extensodata Pvt. Ltd. | Jul 2019 - Jun 2021

■ Research on standard practices and new technologies.
■ Understanding the business problems.
■ Technical feasibility study.
■ ETL Pipeline.
■ EDA and Feature Engineering.
■ Modeling, Packaging and Deployment

Extensodata Pvt. Ltd. | Jul 2018 - Jun 2019

■ Understanding the business problems.
■ Data Transformation
■ EDA and Feature Engineering.
■ Modeling and Packaging

Extensodata Pvt. Ltd. | Mar 2022 - Present

The architecture designer and developer of FoneloanBiz Engine.

Extensodata Pvt. Ltd. | Apr 2020 - Present

𝐅𝐨𝐧𝐞𝐥𝐨𝐚𝐧 is a revolutionary AI-based 𝐂𝐫𝐞𝐝𝐢𝐭 𝐒𝐜𝐨𝐫𝐢𝐧𝐠 product first time in Nepal. It is a non-collateralized virtual credit card service that provides a hassle-free loan of up to 2lakh within a few seconds without any paperwork. Foneloan has leveraged Lending Services to the next level within a few years of its service by completely bypassing tedious and risky manual loan processes and establishing an automated AI-based Foneloan product. It's an honor and privilege to be the 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐫 𝐚𝐧𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 of Foneloan Engine i.e. 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬. The Decision Analytics engine measures the credit riskiness by calculating credit score along with the appropriate credit limit for the Foneloan by analyzing 𝐡𝐢𝐬𝐭𝐨𝐫𝐢𝐜𝐚𝐥 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐬 of the customers using 𝐬𝐨𝐩𝐡𝐢𝐬𝐭𝐢𝐜𝐚𝐭𝐞𝐝 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 (𝐀𝐈). The credit score meeting cut-off score are selected as eligible customers for the Foneloan and service will be available in the corresponding Mobile Bank App. It provides both Non-EMI and EMI-based loans along with the BNPL facility. It is highly influenced by the FICO score, however, it has its own architecture, algorithms, and decision criteria designed after a couple of years of analysis of the behaviors of the customers. Currently, Fonloan is providing its service in multiple banks in Nepal such as 𝐍𝐚𝐛𝐢𝐥, 𝐊𝐮𝐦𝐚𝐫𝐢, 𝐋𝐚𝐱𝐦𝐢, 𝐂𝐢𝐭𝐢𝐳𝐞𝐧, 𝐚𝐧𝐝 𝐌𝐞𝐠𝐚 𝐁𝐚𝐧𝐤. Other banks are in pipeline and the company has a target of reaching 10 banks this fiscal year. For further details, visit this site https://foneloan.com.np/

Extensodata Pvt. Ltd. | Jan 2020 - Mar 2020

This is a time-series model that forecasts the number of air tickets in hourly, daily, weekly and monthly level on different flight sectors. This model was used for eSewa.

Extensodata Pvt. Ltd. | Aug 2019 - Dec 2019

Product recommendation to the customers who are likely to use it.

Extensodata Pvt. Ltd. | Jun 2019 - Jul 2019

Positive, negative, and neutral sentiment analysis on the customer feedbacks.

Extensodata Pvt. Ltd. | Mar 2019 - May 2019

Survival analysis is a set of statistical approaches for data analysis where the outcome variable of interest is time until an event occurs.

Extensodata Pvt. Ltd. | Nov 2018 - Feb 2019

FD Conversion module predicts whether the customers open a new FD account or not within a certain time period and FD Renewal module predicts whether a customer renews their Fixed Deposit (FD) account or not within a certain time period.

Extensodata Pvt. Ltd. | Sep 2018 - Oct 2018

Big data technologies such as Hadoop, Spark, Hive, Hbase, Sqoop, Kafka installation are automated and can be setup on local clusters with scripts.

Extensodata Pvt. Ltd. | May 2018 - Aug 2018

This system tracks unusual activities of the customers on hourly, daily, weekly, and monthly levels. This helps to track anomalous transactions in order to provide credibility to the customers. Currently, this system is deployed in multiple payment gateway companies such as eSewa, Fonepay, etc.

Extensodata Pvt. Ltd. | Aug 2018 - Aug 2018

Cohort analysis is a kind of behavioral analytics that breaks the data in a data set into related groups before analysis. These groups, or cohorts, usually share common characteristics or experiences within a defined time span.

Employee of the Year Award 2022

■ Become an AI and Machine Learning Specialist, Part I and Part II (LinkedIn)
■ Building Deep Learning Applications with Keras 2.0 (LinkedIn)