Shreya Sinha

SHREYA SINHA (Contact:-) Linkedin- Profile Summary         11+ years of analytics and customer-facing consulting experience in industries like wealth, financial services, retail banking, fintech, mortgages, credit cards, media/broadcasting, and automotive sector Proven expertise in extracting data patterns & actionable insights from large complex structured/unstructured datasets using advanced skills in SQL and Python coding for data wrangling or EDA process 3+ years of leadership experience including mentoring a team of 4+ data analysts, establishing best data & analytics practices for business scalability, and fostering a culture of innovation and collaboration Scope, develop, and maintain analytical BI dashboards that contain actionable KPI metrics to monitor product performance and inform business in strategic decision-making using tools like Google Looker, Tableau Influenced cross-functional stakeholders & founders by understanding business requirements, creating powerful executive presentations to present data-based analytics insights in a business-friendly yet impactful way Successfully delivered data science / machine learning advanced analytics projects, demonstrating a strong grasp of statistical modeling concepts with experience in cross-functional team collaboration in an agile model Strong experience in data engineering including data warehouse management & creation of scalable ETL pipelines Strong communicator & collaborator, worked with large cross-functional teams like Product, Business, Marketing EXAMPLES OF ANALYTICS USE CASES: ROI analysis, credit card approval likelihood score modelling, lead to deal funnel analysis, website A/B testing, Financial planning & analysis, Product analytics & digital analytics, BU revenue reconciliation, Agent performance reporting, Marketing campaign evaluations, Reporting automation, Team coaching, Data warehouse management Data visualizations business acumen project management fast paced optimize processes quick learner data warehouse collaborative business metrics ability to collaborate backlog grooming data architecture data modelling Technical Skills         Python (e.g of libraries used): Pandas, Numpy, Sklearn, Seaborn, Matplotlib, SQLAlchemy Alteryx Designer & Studio Server for Reporting Automation ETL/Data pipeline and versioning tools – Informatica, dbt, Apache Airflow, Github Advanced SQL (Oracle/ DB2/ Postgres/MS SQL), Amazon Redshift, Unstructured database/ No SQL Mongo DB Business Intelligence(BI) Visualizations– Tableau, Google Looker, Excel Charts, Salesforce Digital analytics - Heap Analytics, Google Analytics GA4, SEM Rush Requirement Gathering – JIRA/Confluence epic/feature ownership & prioritization using agile methodologies Data science/machine learning: Regression modelling and classification(Linear/Logistic), Decision trees & Ensemble modelling, Forecasting, Neural Networks, Clustering & Segmentation, trees & boosting methods Work Experience RATEHUB FINANCIAL FINTECH July 2022 – Jan 2024 DATA ANALYTICS LEAD, MORTGAGES & EVERYDAY BANKING      Spearheaded analytics strategy for Mortgages BU followed by Everyday banking BU for credit cards & investments Led weekly steering committee to present BU health and key performance indicators to founders for EDB BU Uncovered root cause of revenue drop - click to approval funnel, underwriting rule checks lifting Q revenue by 4% Conducted an in-depth analysis of CPA/CPC revenue model for trade products leading to a lift of ~6% in revenue Executed A/B tests on company website, with focus on understanding customer behavior that led to improving lead conversion(10% lift), CTR( saw 8% lift), thus informing product development & strategy through data as evidence  Data-based strategic advisor to cross-functional BUs, providing data recommendations on running targeted marketing campaigns, AB tests, key partner negotiations and product feature optimizations using data as evidence  Developed paid ads marketing BI dashboard on Looker via iterative requirement & feedback loop showcasing key metrics on card click activity and high traffic pages, devising a complex logic for paid ROAS calculation  Mentored data engineers and junior data analysts for reporting automations and Redshift data warehouse refinement  Fostered best analytics practices within the team via best code practices, cross-BU domain training, documentations  Implement continuous data improvement and best practices under data & analytics for versioning and code changes Recognition: Nominated for best employee of the month in Sep 2023 for devising paid ROAS reporting strategy TORONTO DOMINION BANK (TD BANK) April 2022– June 2022 PRODUCT OWNER, EVERYDAY BANKING & ANALYTICS     Product owner for a pod of 4+ BI and data analysts, with responsibility of planning, defining and scoping requirements from business partners and translating to features/epics by leading grooming exercises in Agile model Accountable for data accuracy, time deadlines for analytics deliverables & advising team on best data practices Spearheaded delivery of account attrition executive dashboard by brainstorming key metric requirements and definitions by collaborating with multiple BU stakeholders and overseeing implementation of Tableau dashboards Led a $2M+ reporting consolidation consulting exercise across cross-functional teams to identify redundancies across 55+ reports, propose synergies and recommendations on key KPI logic simplifications & report eliminations CANADA IMPERIAL BANK OF COMMERCE (CIBC BANK) August 2020 – April 2022 SENIOR MANAGER, FRONTLINE DISTRIBUTION ANALYTICS & INSIGHTS        Built agent hiring model by using macro data KPIs and agent performance scores to grow company’s market share Facilitated monthly leadership connects and prepared decks and emails for senior leadership on topics like – competitor trend analysis, cross-sell analytics, key KPI indicators on channel performance Led and coached a senior analytics consultant owning the accuracy of data and timely delivery of executive reports Automated BAU reporting solutions via Python that eliminated operational inefficiencies, reduced SLA by ~2 days Eliminated redundant reports by cross-collaboration with partners to reduce data inconsistencies and discrepancies Owned annual business planning activity on NPS scores & channel revenue targets for mobile investment channel Built strong relationships with business to become the go-to partner for any data queries on channel performance Key Recognitions:   Recognition for accelerating banking centre leads actioned by 11% resulting from regular performance monitoring Recognition as a team of 3 for successfully launching F22 targets for NPS with a turnaround time of a week CAPGEMINI INVENT, NA MARKETS March 2018 – April 2020 SENIOR CONSULTANT, STATISTICAL ANALYTICS Differentiated IT service excellence by leveraging analytics for a US based wealth management firm  Led client workshops onsite to understand processes & pain points in order to define analytics business use cases  Led a team of data scientists & a data architect to track project progress & provide timely updates to client  Analyzed complex datasets on SQL,Python for feature engineering to build a predictive model with the team  Utilized logistic regression, boosting & statistical concepts to define client stability with 85% accuracy  Developed a KPI framework & business logic to guide the BI developer for depicting model results on Qlik tool  Presented high-impact key data findings analysis along with data governance recommendations to C-level leaders Award: Quarterly Project Excellence Award for exceptional project delivery and client satisfaction COGNIZANT BUSINESS CONSULTING June 2015 – Feb 2018 BUSINESS CONSULTANT Built strong domain expertise on studios & broadcasting to transform into a digital media SME  Presented key market trends and data insights to high – profile business audiences in client visits  Led product development in agile framework by managing a team of 6+ developers  Participated in digital strategy formulation by facilitating workshops & evaluating system architecture to come up with a vendor assessment framework & to-be process recommendations for business Awards:   Consulting Excellence Award in recognition of managing diverse stakeholders & project execution Dream Team Excellence in Selling in recognition of stellar contribution to project as a team LENDICO, ROCKET INTERNET, BERLIN July 2014 – December 2014 BUSINESS INTELLIGENCE GLOBAL INTERN   Spearheaded reporting for leadership(Powerpivot)depicting financials on investor & borrower preferences Data warehouse management along with query optimization, logic adjustments & database schema refinements DELOITTE CONSULTING USI, MUMBAI June 2011 – May 2013 BUSINESS TECHNICAL ANALYST  Key resource in architecting data warehouse system and ETL data transformations by using BI tools like Informatica & Cognos BI to streamline financial planning & forecasting activity of US media client  Co-ordinated with a cross – functional team of 15+ experts in agile model to manage report enhancements Award: Team Excellence award by client in recognition for an outstanding contribution to the project Education   University of Pune Bachelors in Engineering, Information Technology (I.T) ESCP Europe & MDI Gurgaon Master’s Degree in Business Administration (MBA), International Management Certifications      Predictive Analytics for Enterprise Nanodegree – Udacity Machine Learning A to Z via Python - Udemy Tableau for Data Science - Udemy Machine Learning & Deep Learning Specialization – Andrew Ng – Coursera ITIL Foundation – IT services management & SDLC lifecycle 2007 - – 2015