Resume

May 2023 - Current

Python Back-End Developer

• Utilized a scalable e-commerce backend (Django, PostgreSQL) handling over 20,000 products, ensuring smooth fulfillment for high-traffic volumes.

• Devised a user-friendly Telegram bot (TeleBot, Python) for a cryptocurrency exchange, resulting in a 40% surge in user engagement and a 25% increase in daily transaction volumes. Integrated automated data scrapers for real-time currency rate updates, ensuring precise transaction execution every 1.5 minutes.

• Designed and deployed a comprehensive Django admin panel, yielding a 90% enhancement in data management efficiency and secure storage of over 50,000 records in MySQL.

• Implemented stringent security protocols, encompassing encryption and secure logins, culminating in a 50% reduction in security incidents and ensuring 100% data integrity compliance.

• Provided bespoke data web scraping and cleansing services, automating data processing workflows, empowering clients to optimize data collection and processing capabilities, resulting in a 60% increase in data accuracy and an 80% reduction in manual data entry.

Apr 2020 - Dec 2022 (2 years, 8 months)

Founder And Sales Director

• Propelled the sales team, resulting in an 80% revenue surge, and efficiently managed collections to optimize cash flow.

• Analyzed sales and profitability using Python data analytics (Pandas, NumPy), yielding a 20% enhancement in decision-making accuracy and a 15% upsurge in quarterly sales.

• Developed Python programs (Django) and data scraping techniques (Scrapy) to automate the daily collection and updating of importer data, leading to a 60% rise in customer satisfaction through real-time pricing.

• Orchestrated the design and launch of a user-friendly website using Python (Django) and front-end technologies (JavaScript, CSS, HTML), resulting in a 90% improvement in product accessibility, a 25% increase in online engagement, and an enhanced customer experience.

Dec 2016 - Apr 2020 (3 years, 4 months)

Python Data Analyst

• Leveraged data-driven insights from product and customer analytics to achieve a 15% year-over-year profit increase, leading to revenue growth of 2,000,000,000 Rials.

• Analyzed top and bottom-selling products, customer data, and lost customer data to identify growth opportunities and mitigate risks.

• Implemented Python with Pandas and NumPy to improve data ingestion from 8 different sources, reducing processing time by 5% and ensuring data accuracy and efficiency.

• Executed data cleansing procedures to address missing data, resolve inconsistencies, remove duplicates, and identify outliers, resulting in a 70% increase in data accuracy and a 90% reduction in processing time.

Sep 2012 - Jun 2016

Pre-University Degree

• Pre-University Degree in Mathematics and Physics.