Mosaib Jan
Senior Business Analyst at Firhaj- Claim this Profile
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Credentials
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IBM Data Science Professional
IBM
Experience
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Firhaj
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Pakistan
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Retail Apparel and Fashion
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100 - 200 Employee
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Senior Business Analyst
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mrt. 2022 - - heden
▪ Improved sales dashboards, forecasting models, data pipeline and business reports with visualization to discover insights that led to new actions.▪ Built a statistical machine learning model for price elasticity of specific products using historical markdown/discounts data, leading to an improvement of 15% in monthly sales.▪ Supported new product development (NPD) by leveraging “social listening” to look deeper into customer preferences using real-time social media data, saving PKR 5 million by eliminating more conventional practices, like focus groups and surveys, and reducing the time to market (TTM) by 30 days.▪ Used the data mining technique "Apriori" to optimize the retail store layout and create bundle offers, which helped increase sales by 10% per store per month.
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Systems Limited
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Pakistan
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IT Services and IT Consulting
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700 & Above Employee
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Business Analyst
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aug. 2021 - mrt. 2022
▪ Analyzed business data through Power BI and Python to develop actionable insights and supported the CEO in day-to-day business decisions.▪ Created a data-driven business culture within the organization by conducting weekly meetings with all stakeholders to discuss data insights, individual performance, urgent challenges, and remedies. Improved the product throughput by 10%, leading to PKR. 35 million per month additional revenues.▪ Segmented retailers based on the LRFM model using Python and used targeted marketing strategies toimprove retailers’ retention by 10%.▪ Identified the churned retailers using the “Buy Till You Die” model and formulated a comprehensivemarketing strategy to re-win the churned retailers and subsequently prevented further churn.▪ Calculated retailer's future Customer Lifetime Value (CLV) by using Python’s predictive models andsuccessfully aligned it with Customer Acquisition Costs (CAC) to improve the CLV: CAC ratio from 3 to 5.▪ Reduced the working capital requirements by PKR 10 million by rolling out a discount mechanism for early payments, thereby reducing the cash conversion cycle from 30 days to 20 days.
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Algo
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Poland
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Translation and Localization
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Business Intelligence Specialist
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feb. 2021 - aug. 2021
▪ Best Buy USA: Led a team that developed the algorithm for the assortment planning of physical movies DVDs to improve in-store customer experience, impacting average store revenue by $5,000 per month.▪ See’s Candies USA: Designed and developed the complete solution to address the recurring issue of candies expiration, saving $500,000 per month by optimizing the inventory and logistics.▪ Facebook Infrastructure Project: Forecasted the post 30 years’ demand of daily traffic, physical components, and the power requirement of Facebook IT facilities in the USA and EU.
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Lahore Electric Supply Company Limited
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Pakistan
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Utilities
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200 - 300 Employee
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Assistant Manager
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sep. 2015 - aug. 2019
▪ Supervised, mentored and managed a team of 15 employees, offering them support during project planning and execution phases.▪ Discovered the trends and patterns of electricity power-line faults using Python, reducing the annual tripping from 39 to 33 interruptions per customer, leading to $3,000 cost savings per month in maintenance and operational support.▪ Forecasted inventory demand using XGBoost with 85% accuracy, reducing the inventory cost and transport cost by 30% and 50% respectively by maintaining an optimum level of inventory and optimizing logistical factors.▪ AI Theft Detection System: Led a team that developed a Machine Learning model to detect energy stealerswith 81% accuracy.▪ Digitization of Electrical Network: executed $50M USAID digitization project for 99% faster proposal generation.
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Education
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Harvard University
Business Analytics -
Lahore University of Management Sciences
Master of Business Administration - MBA -
Mehran University of Engineering and Technology Jamshoro