Soumya Halder
Lead Analyst @ Merkle
About
I have 7+ years’ experience as an Analytics professional in building and supporting business solutions for Fortune 500 customers across Digital, Retail and Telecom industries using data sciences. Experience in translating business problems into analytical questions and thereby enabling the business to take data driven decisions based on actionable insights. Received numerous awards from leadership team for project ownership, team management and building client relationship. Led key client engagements across domains with a team size of 10+ decision scientists Technical skills: SQL, R, Python, Tableau, Adobe Analytics – Omniture SiteCatalyst and Discover, MS Excel. Statistical skills: Linear and Logistic Regression, Hypothesis testing, A/B testing, Decision trees, Random Forest, Boosting, Neural Networks, SVM, K-Means Clustering, KNN, Text Mining, Association Rules.
United States
New York
Information Technology & Services
Large Language Models (LLM), Generative AI, Hypothesis Testing, Insight Generation, Microsoft Excel, SQL, Tableau, Statistics, Business Development, R, C++, Microsoft Word, PowerPoint, Matlab, Team Management, Exploratory Data Analysis, Predictive Modeling, Adobe Analytics, Data Analysis, Python (Programming Language)
Experience

Lead Analyst
Atlanta, Georgia, United States
• Developed and led Gen AI projects, including an AI Training Assistant that automates responses to common sales executive queries, and a Pricing SQL AI Assistant that empowers business users to generate queries and analyze portfolio performance, increasing efficiency by 40% • Built a Gen AI chatbot that leverages DC inventory, an online recommendation model, and decision analytics to swiftly identify substitute SKUs, cutting store sweep time by 30% and enhancing store associates efficiency • Designed and built a comprehensive hypothesis testing tool to streamline experimentation and evaluation processes for Pro Merchandising Team. The tool enables them to efficiently test and assess a wide range of experiments (averaging around 4 per week) to identify optimal discount strategies • Elevated customer discount tiers based on anticipated spending and future projects, generating $72M in annual sales and boosting gross margin by ~$2M for over 400 customers • Conceptualized and built a comprehensive master dataset for the complete order cycle process, offering visibility into supplier operations to track fill rate, VTT, stock availability, and more. Proactive weekly meetings addressing delivery concerns and root causes significantly reduced turnaround time from a month

Senior Data Scientist
Bengaluru Area, India
Churn propensity model for post-pay handset customers (UK retail) • Developed a Logistic regression model to predict the likelihood of post-pay customers to churn based on their transaction behavior, email engagement and demographics Improved the effectiveness of personalized marketing (UK Retail) • Helped the client’s CRM speedboat team to drive personalized marketing by analyzing customer behavior and delivering 5 trigger-based campaigns within 2 months Roles & Responsibilities: • Ensure smooth functioning of the team and timely completion of project deliverables • Gather business requirements and design solution approaches with the team • Work more closely with sales team to find opportunities of growth and create proposals for the same • Mentoring/training and enforcing best practices within the team

Data Scientist
Bengaluru Area, India
Self-Serve platform for digital and marketing teams of (US Telecom) • Deployed a Self-Serve platform on Tableau to enable business users take data driven decisions by alleviating dependencies Evaluating and improving voucher effectiveness (UK Retail) • Optimized the discount coupons provided and helped business to improve margins by 1.2x for the product category with negligible impact on sales and volume Customer Segmentation to elevate luxury product sales (UK Retail) • Classified customers as Premium, Premium Eligible and Non-Premium segments • Analysis was leveraged to design a campaign targeting customers with top of the line products, with an expected increase of ~5% in conversions Campaign and seasonality analysis, automation and data operational workbook (US Telecom) • Built dashboards to monitor the performance of various lead generation campaigns and overall digital business during peak periods like Thanksgiving, Black Friday, etc. • Built a Data Operational Workbook which checks data quality and alarms for any anomaly to business stakeholders Web purchase funnel improvement (US Telecom) • Enhanced web funnel through A/B test (US Telecom): Reduced fallouts in purchase funnel which improved customer retention on website by 0.7% Leadership: • Led a team of 10+ Decision Scientists as part of Mu Sigma client engagement from mid-2017 • Received awards and recognition for showing consistent performance, project accountability, insight generation and business communication skills • Teaching Assistant for SQL, Tableau and Adobe Analytics. Also, mentored 3 groups of new recruits in the org
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