Python Developer

Location : PUNE, India

Experience : 3.2 Year

Rate: $12 / Hourly

Availability : Immediate

Work From : Offsite

Category : Information Technology & Services

Shortlisted : 0

Total Views : 36

Key Skills

Python Machine Learning Power BI MongoDB ETL

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Summary

Currently working at confidential on backend operations as a Python Developer for 3.1 years. Designed and implemented a pipeline for product data with MySQL, Pandas, MongoDB, Python, and Excel.
Worked on Data cleaning, Data Acquisition, and Data validation with large data sets of Structured and Unstructured data.
Good experience in SQL databases like SQL, MySQLand handling semi-structured data over No-SQL

databases like MongoDB.

Good programming skills in analytical programming tools such as Python, Pandas and Machine Learning algorithms.

Analytical and problem-solving skills.

Working with Power BI for data visualization. (join kinds, merge query, append query, Transform data, etc.)
Experience with Web Scraping libraries such as

BeautifulSoup and Scrapy, knowledge of HTML and CSS, familiarity with databases such as MySQL and MongoDB

Ability to independently and effectively organize and manage multiple assignments with excellent analytical and problem-solving skills.

Others: Github, AWS, Power BI, flask, Azure Data Factory, Agile

Education:

Bachelor of Engineering from Savitribai Phule Pune University in Mechanical Engineering with 80%.
Diploma in Mechanical Engineering with 68%

Achievements:

98-381-MTA: Introduction to programming using Python. With 85%

Skill Nation Certificate: SQL(structure query language)

Company : confidential (Aug 2020 to Aug 2021)

Company: confidential. (Aug -2020 to date)

Project 1: Store sales prediction.
Domain: - Retail
Description: - One health and wellness center operates in many states of India. Currently, store managers are tasked with predicting their daily sales up to two weeks in advance. Store sales are influenced by many factors, including promotions, competition, holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. So, in this machine learning project, we worked on forecasting daily sales for 1200 stores located across the country. Reliable sales forecasts enable store managers to create effective staff schedules that increase productivity and motivation. By helping the wellness center create a robust prediction model, we helped store managers to stay focused on what’s most important to them their customers, and their teams!
Responsibilities:

worked independently on whole ETL and backend operations.
Further EDA is performed to understand the data more and find out a few exceptional cases.

Environment: Python 3, Pandas, SQL, web scrapping, ML

Project 2: Digital Transformation in Banking Sector.
Domain: - BFSI
Description: - A campaign that the bank ran in the last quarter showed an average single-digit conversion rate. In the last town hall, the marketing head mentioned that digital transformation is the core strength of the business strategy, and how to devise effective campaigns with better target marketing to increase the conversion ratio to double-digit with the same budget as per the last campaign. So we have to build a machine learning model to perform focused digital marketing by predicting the potential customers who will convert from liability customers to asset customers.
Environment: Python 3, Pandas, Numpy, MySQL, Web scrapping, machine learning.