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Joe (RID : k9szkysjtcsa)

designation   Python Developer

location   Location : Pune

experience   Experience : 2 Year

rate   Rate: $14 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 1
Total Views : 100
Key Skills
Python C SQL R Docker MongoDB MYSQL

● 2+ years of experience as a Python developer.

● Worked on multiple projects using Python, C, SQL, Tableau, PowerBI, Jupyter Notebooks

● Worked on Descriptive Analytics, Exploratory Data Analytics, Predictive Modelling (Regression, Classification, Clustering, Ensemble methods, Linear and Polynomial Regressions,

        Logistic regression, Tree-based classification methods, Bayesian Methods, SVM, K-Means, 

        Hierarchical Clustering), Selenium, and Web Scraping Tools (Beautiful Soup and Scrapy).

Project Experience

Project Name - Finolet 


It is a financial Product used for Loan processing. 

Responsibilities :

• Designing and dashboarding of ad-hoc analytics reports on a periodic basis using Tableau Server, bringing in a 10% increase in lead disbursements through better strategizing.

• Determining eligibility of loan applications and scrutinizing customer profiles using predictive modeling and FinTech market analysis. Currently involved in building a multi bureau credit scorecard for underserved credit segments.

• Performing regular web and app analytics and monitoring user behavior.

• Preparing business requirement documents for technical developments and testing.

• Automating emails and performing payout and invoice automation using Selenium, saving time by 75 %


• Assisted in creating the FinOlet credit rule engine for segmenting customer profiles.

• Currently developing a company-exclusive credit score card, FinOlet Score, using Machine Learning Key

Tech Stack

Tools: Google Analytics, Jupyter notebooks, Python libraries (Sklearn, Matplotlib, Numpy, Pandas, and Seaborn, Scrapy, Document processing packages- Camelot, Tesseract), Docker, SQL Server, Tableau Server, Predictive Modelling in ML.  

Team Size 



2 Years




Building a native  E-Commerce CRM with diverse data points and indicators on publicly available repositories.


Worked on the data pipeline to build a platform for analysis using Google and Firebase Analytics. Initiated data collection by using web scraping in Python to build a CRM lead list. 

Team Size


Technical Stack 

ML Libraries, SQL Server, Tableau Server 


3 Months


Prediction of Average House Prices in the UK 


To create a Machine Learning model to predict House Prices and cluster the houses into diverse categories, and provide a frontend to get input parameters to aid the buyer in purchasing the same


Carrying out a Detailed Exploratory Data Analysis and preparing the data to build multiple predictive Machine Learning Models.

Team Size


Technical Stack 

Jupyter, Tableau


4 Months

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