Nikhil Singh
Pricing | Data Analytics · Dallas, Texas, United States
MBA - Strategy | Marketing MS - Statistics | Data Visualization | Machine Learning • Strategy - Pricing, Customer Segmentation, & Competitive Analysis • Programming - Python, R, SQL, & MATLAB • Data Visualization - Qlik, PowerBI, Tableau, & Advanced Excel • Data Science - Linear & Logistic Regression, KNN, Decision Tree, Naive Bayes, PCA, & Hyperparameter Tuning
Experience
Senior Business Analyst - Pricing
Avery Dennison · Mar 2022 – Present
- Guiding pricing analytics efforts for the global apparel business (over $1 Billion in revenue)
- • Applied statistical analysis - at SKU-level - to identify manufacturing countries with low conformity to price and volume requirements
- - Partnered with external consultants to identify opportunities to increase prices: through customer segmentation, margin analysis, and average order value analysis
- - Engaged with data science team to execute price-increase campaign
- • Enabled Regional Commercial Leads to defend market share of RFID business
- - Created a price recommendation model for competitive price positioning - using product complexity, contract type, market intelligence, and the extent of vertical integration of competitors
- - Built Qlik dashboard to report category and customer health to commercial teams in U.S., Europe, and Asia
Pricing Project Manager
Staples · Nov 2021 – Mar 2022
- • Led merchant engagement to implement strategic pricing - based on elasticity, competition, inflation, vendor restriction, and third-party recommendation
- - Analyzed millions of transactional records to communicate business trends by SKU & Product Category
- • Developed Python & SQL scripts to automate price review process, and documented the automation process
Senior Pricing Analyst
Staples · Apr 2020 – Nov 2021
- • Created a dynamic pricing model using large transactional datasets, and competition, elasticity, web analytics, & supply chain data
- - Coordinated with the Data Science team members to implement (using Python & SQL) the pricing model
- • Reported business trends of multiple pricing initiatives across product categories
- - Identified SKUs driving revenue and profit - with the impact of changing ASPs
- - Automated the reporting process (involving millions of transactional records) using Python
- • Provided analytics support to merchants on long-term and ad hoc projects - to help them achieve budgeted sales and profitability targets
Product & Analytics
Unicus Pharmaceuticals · Jan 2020 – Apr 2020
- Unicus Pharmaceuticals is a product development and contract R&D firm serving personal care and cosmetic sectors.
- • Collaborated with the CEO to build growth strategy
- - Analyzed e-commerce data and social media insights to optimize product portfolio
- - Developed financial forecasts and delivered weekly insights
- - Created investor pitch deck
- • Visualized Keyword performance reports from Amazon to identify productive short-tail and long-tail keywords
- • Developed B2B and B2C marketing collateral
Summer Associate
Inovexus · Jun 2018 – Aug 2018
- • Built a licensing structure for the partnership of electrochemical sensor developer with major European automotive parts suppliers and one of the largest consumer appliances manufacturers in Turkey
- • Estimated price elasticity of demand and built a pricing model (B2B and B2C businesses) for an airbag vest developer
- • Assessed market positioning of the largest American and European fashion and sports brands to identify viable partners for a robotic mannequin manufacturer
Co-Founder
MySportsAdda · Nov 2014 – Jun 2017
- Led the analytics efforts and strategy development for India’s first portal that enabled users to book sports venues and sports vendors to manage bookings online, and rolled out this innovative product in 3 major cities
- • Processed and Analyzed transaction data – enabling vendors to increase occupancy rates by about 3%
- - Built dashboards to monitor KPIs and provided performance reports to vendors
- - Optimized ticket prices by conducting experiments in collaboration with the vendors
- - Developed Python scripts to clean and transform data efficiently
- • Created Relational Database Model using MS Access, by analyzing business requirements and processes
- - Wrote SQL queries using aggregation, multiple joins, and nested queries to extract and analyze data
- • Used statistical analysis to evaluate offline and online marketing campaigns – resulting in more than 50,000 subscribers
- • Analyzed the brand strategy of Star India (Indian Media Conglomerate) and successfully promoted two of the company’s premium HD Sports Channels
- Highlights:
- - Listings in 3 major cities
- - Information about sports venues: prices, ratings, reviews, location, and offered services
- - Multiple booking and easy payment options
Manager
Compu Soft · Feb 2012 – Oct 2014
- Directed efforts of staff members, and ensured daily delivery of vocational courses to more than 250 students
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Education
Master of Business Administration - MBA
Boston University Questrom School of Business · 2017 — 2019
Master's degree - MS in Information Systems
Boston University Questrom School of Business · 2017 — 2019
Bachelor of Engineering (B.E.), Electronics and Telecommunication
University of Mumbai · 2007 — 2011
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