SRI LAKSHMI CHUNDURU
LinkedIn Profile ac0qf6@r.postjobfree.com +65 82628082
SUMMARY
A data scientist and a business analyst with close to 5 years of professional working experience, project management skills and data analytical skills. Proven experience in financial services domain in handling business intelligence agile projects. A Masters from NUS, Singapore with the ability to take up challenging data analytics projects. Areas of interests include Analytics, Marketing, and Business development. Exposure to analytics in various domains: Healthcare, Financial, Supply chain and logistics, Tourism and Hospitality.
EDUCATION
NATIONAL UNIVERSITY OF SINGAPORE Jan 2016 –May 2017
Masters in Enterprise Business Analytics, 4.08/5
OSMANIA UNIVERSITY, HYDERABAD, INDIA June 2007 - May 2011
BE, Electrical and Electronics Engineering, 85%, top 5% of the cohort size 60
EXPERIENCE
Business Analyst (Data Analyst) Intern, Aon Risk Solutions Aug 2016 - Mar 2017
Worked as a part of the Aon Center for Innovation, Analytics, Strategy, and Management as a Data Analyst and Research intern. The primary business objective is to provide qualitative and quantitative data insights from surveys and other insurance data sources to clients, colleagues, and Insurance carriers. Worked on projects such as Claims Analytics, Market Research, Customer Analytics. My key works include:
Claims Analytics:
Developed a solid analytical platform for Claims Analytics. This proof of concept platform, which is receiving accolades and appreciations from Chief Claims Officer and other global leaders, will be used to scale-up the business. Financial Risk Analysis is the main focus point. The “Tipping point/Inflection point” was clearly defined so that the business and the clients/carriers know the point of time at which claim cost rise sharply after the claim gets registered.
Market Research and Customer Analytics:
Local Market Planning(LMP) - Prediction of Geographical Opportunity with Clients and prospects based on their geography.
Churn - Prediction of clients Churn at a client level, product level and LOB level based on AON revenue data and publicly available data such as Salesforce, Dun & Bradstreet(D&B), One Source.
Data handling: Worked on a number of datasets that are highly unstructured and handled them efficiently. Consolidated the data and provided key business insights. Launched several internal surveys to capture data.
Analytics: Applied advanced analytical techniques to build predictive models for early claims identification, age of the new claims prediction and to study the important factors responsible for large loss claims, prediction of customer churn, local market planning by predicting geographical opportunities.
Analytics techniques: Linear, Logistic, Quantile Regressions, Time Series Analysis, Kaplan-Meier Estimates/Time to event analysis, Text and Sentiment Mining Algorithms, Machine Learning Algorithms such as Neural Networks, Decision Trees, SVM.
Data Visualization and Reporting: Developed a prototype of Tableau/Excel/Qliksense interactive dashboards which will be used for future business purposes when the operations scale-up.
Tools: Python, R, Microsoft SQL Server, H2O, Alteryx Designer, Tableau, Qliksense, Microsoft Power BI and Power Query
Associate Consultant, Capgemini Consulting July 2014 - Aug 2015
Worked for the client “AIG” as a Business Analyst in alignment with Quality Assurance team, Software Developers, Security, and Business Partners to follow standards and methodologies for business intelligence projects. My key works include:
Translating voice of customers or business requirements into functional requirements by liaising with clients
Provided actionable strategic recommendations to solve business problems
Provided documentation support for requirements gathering, process analysis, gap analysis and product testing and participated in project walkthroughs: business requirements gathering, design walkthrough, functional test plans and implementation sessions.
Focused on the areas such as Business Analysis, Risk Analysis, Requirement Gathering, New Business Development, Vendor Management, Project Management, Change Management and provided various reports to stakeholders.
Tools: Oracle SQL Developer, Mainframes, IBM Cognos, Tableau
Programmer Analyst, Cognizant Technology Solutions Aug 2011- June 2014
Worked for the client “MassMutual Financial Services” with the testing team as the junior business analyst for business intelligence projects. My key works include:
Assisted in estimating the efforts required for incoming work orders and scoped projects to bill client and provided daily reports
Gained knowledge of translating voice of customers or business requirements into functional requirements by liaising with clients and assisted managers with the daily management of operational functions of the Project Team, including preparation and minutes for standing meetings, reporting processes, information flow
Involved in Project scoping, estimation, approval, requirement, solution design & implementation and provided documentation support for requirements gathering, process analysis, gap analysis and product testing and participated in project walkthroughs: business requirements gathering, design walkthrough, functional test plans and implementation sessions
Participated in the entire SDLC and STLC cycle and made contributions to Project plans as required
Tools: Oracle SQL Developer, Teradata SQL Assistant, Mainframes, IBM Cognos, Tableau, DataStage, Autosys
SKILLS
Business:
Software Development and Testing Life Cycle (SDLC & STLC)
Marketing and Campaign Management
Supply Chain Analytics
New Business/Product Development process
Project Management
Analytics:
Statistics, Operations Research, Predictive modeling
Supervised and Unsupervised Learning Techniques, Machine Leaning Algorithms
Text and Sentiment Mining
Tools:
Microsoft SQL Server, Oracle SQL Developer, Teradata SQL Assistant
IBM SPSS Statistics and Modeler
IBM Cognos Reporting
Tableau Reporting
Qlikview/Qliksense Reporting
Microsoft Power BI and Power Query
Alteryx Designer
Google Analytics/AdWords
H2O big data
SAS Jmp Pro
Languages:
C
C++
R
Python
Visual Basic
SQL/PostgreSQL
ACADEMIC PROJECTS
Customer Relationship Management - Analyzed transaction data to segment customers to devise marketing strategies. Each customer segment was recognized based on Recency, frequency and monetary scores allocated using RFM Analysis. Built a marketing roadmap for client by identifying customer persona, customizing strategies for each persona. Provided actionable insights through data mining of transaction patterns and buying trends. Built a predictive model to identify the customers who are likely to churn, and estimate potential loss of revenue due to churned customers.
Social Media Marketing – Identify metrics and KPI, state Project Success Criteria, communicate with the stakeholders to increase brand awareness.
Strategic and Tactical Marketing Plan: As a part of marketing subject, I developed marketing plan for one of the products of a global printer manufacturers with the aim of understanding the marketing environment and the marketing activities.
Strategic and New Product Development: Developed a new product idea and implemented the new product development process. The new product development process includes market research, market identification and segmentation, voice of customer analysis, quality function deployment, drafting a business model, value chain analysis, cost analysis, cash flows and financial modeling using Monte Carlo simulation, portfolio management.
Inventory Intermittent Demand Forecasting: Forecasting intermittently demanded, “slow-moving” product items or parts is a problem that is especially known in the capital goods industries. Intermittent forecasting methods were applied to 5 different stock keeping units’ (SKU) time series data to predict the future demand.
COMPETITIONS or CHALLENGES:
Google Online Marketing Challenge 2016- Campaign Management: Partnered with Hindustan pumps, India to develop and execute online marketing for which my team stood as Google AdWords Business Semifinalist securing 37th spot out of 1000 teams from all the regions Americas, EU, Asia-Pacific. The outlined objectives were to get new customers leading to brand awareness and generate leads from potential customers and channel partners. The client Hindustan pumps reported that it received 27 leads from the target audience for products because of this campaign.
Crossing the Chasm Challenge 2017 (April 2017 – July 2017) – Currently, partnering with the social enterprise “The Batik Boutique” to develop the marketing pitch and the marketing plan. Social media marketing strategies are being developed for this competition.
HONORS AND AWARDS
Google Online Marketing Challenge – 2016, Semifinalist
Cognizant Best Associate Award – 2012 Quarter 4
Class 12 – State Second, Gold Medalist
CERTIFICATIONS
LOMA 280 (Life Insurance Foundations) and LOMA 290 (Company Operations)