Presenting in India, World's First Active Utility Wear Brand where fashion meets functionality.To empower active spirit within every individual by providing versatile and functional ACTIVE UTILITY WEAR. Our purpose is to be your trusted companion on your journey to a more active, adventurous, and fulfilling life. Join Us today and LET'S GET IT DONE together.

Built the Brand Monitoring System to extract text data from webpages and applications to understand the opinion and reviews to take deeper look through dashboard to Monitor, Analyze and take Action.performing Statistical Modelling, Data Mining, Data Exploration and Data Visualization of structured and unstructured datasets and implementing Machine Learning and Deep Learning models based on business understanding

Built the system to Recommend the most relevant items to specific users, analyzing the past purchase behavior of a customer, and based on that, recommend products that the users might be likely to buy. Built a system where we enter: Input: customer ID Returns: a ranked list of items (product IDs), that the Customer is most likely to buy so that our stakeholders such as marketers and sales reps can give a better recommendation to a specific customer

identifying the potential churn candidates beforehand, and take proactive actions to make them stay, enabling the company to redirect their marketing campaign towards these customers and re-engage them with products and services. The goal was to study customer behavior and identify patterns that lead to disengagement with the company. customers segmentation into low-value Low Value: Customers who are less active than others, not very frequent buyer/visitor and generates very low - zero - maybe negative revenue Value: In the middle of everything. Often using our platform (but not as much as our High Values), frequent and generates moderate revenue. High Value: The group we do not want to lose. High Revenue, Frequency, and low Inactivity. Therefore, boost customer retention rates and target a specific audience with a cyclic promotions strategy.

Job Responsibilities: Trend Analysis, marketing analytics; digital marketing; digital analytics; e-commerce handling; measuring KPIs operation management; production planning and control.Control work study and management; marketing data strategies; • Increased sales 12% through measuring KPIs and analyzing Trend, likes and dislikes of consumers from previous business data using data analytics and statistical approach.• increased in customer acquisition by 8% towards the brand through digital marketing and marketing analytics techniques.• Delivered annual production saving of $800K by reducing the cycle time of operations through collecting data for everyday work timings of operators then the developed convertible feels ease workstations for efficient operations.• Implemented sustainable lean factory layout by rearranging the sub and assembly lines to reduce man and physical movements by the analyzing time taken data in movements which led to an increase in the productivity by 32%.

. Implemented standard operating methods and procedures for clothing manufacturing by collecting everyday observation into data sets.• Reduced the rework by 84% and enhanced quality by creating Standard operating methods for clothing manufacturing that led to savings of $500K annually.• Reduce idle time of the operators and machine together by 70% through line balancing after resulting in data analysis.

promoted V channel media events through digital analytics and campaigning in the city.

Yarn and fabric manufacturing techniques, testing and dyeing

Executive Job responsibilities: supervising the supply chain for on-time delivery of the couriers from pick to deliver