Sree Chintalapudi
Sunnyvale,CA
Summary
Senior Manager with expertise in developing and executing strategic improvements that drive business growth. Proven track record in leading operations and leveraging Data & AI to enhance performance. Skilled in identifying opportunities for efficiency and innovation, resulting in measurable outcomes.
Overview
14
14
years of professional experience
1
1
Certification
Work History
Sr Manager Data Scientist
Walmart Strategy (Centroid)
12.2023 - Current
- Spearheaded Developed of multi node assortment Inventory placement strategy to improve CTP/Speed by 0.5% and availability by 3% across Walmart Ecom network
- Lead the initiative of Improving next day CTP by 2% simulating sort center placement and cost strategy using MOBIUS Simulator for Walmart North West Markets
- Improved the fidelity of MOBIUS Simulator by 5% by evaluating the Sort Center features
- Coordinated extensively with Engineering teams, Analytics Teams, Data Science teams and operations cross functionally day in and day out
- Responsible for AOPs and presenting strategy and finds cross functional teams and to leadership teams
- Tools used: Big Query SQL, Tableau, Chat GPT, Microsoft Copilot, MOBIUS simulator
Sr Data Scientist
Walmart Transportation
06.2021 - 12.2022
- Pivotal in creating lane level loads Forecast for Walmart Inbound which comprises of 100k+ supplier which aided in planning for 70k+ active transportation lanes.
- Mentored the team through a seamless transition of GDC tactical, enabling them to excel in OB planning.
- Demonstrated outstanding leadership by successfully driving the adoption of Dataiku among internal and external teams, enhancing their forecasting capabilities and streamlining operations.
- Developed forecasting modal to give visibility to 72 DCs across 6 regions regarding their cases, loads, CPT, supplier % on daily bases and commodity level for short range planning that is 14 days out till 13 weeks ahead.
- Automated the process of communicating with the suppliers regarding Walmart’s transportation need 14 day out. Which resulted in 2000+ hours savings on operations side every month.
- Identified the impact of last-minute realignment changes which resulted in creating a systematic process to capture those realignments which improved the forecast accuracy by 2%
- Improved the CPT forecasting modal to better capture seasonality which took overall load accuracy to 95%
- Developed dashboard for ROMs and Management to get 52 weeks visibility on all operations metrics such as cases, miles per active drivers, fleet capacity and paid transportation
- Successfully developed and owned high-volume data platform for the team, efficiently managing extensive datasets and facilitating seamless information exchange across diverse systems
- Pivotal in seasonal loads planning
- Tools used: Big Query SQL, QuickBase, Alteryx, Tableau, Dataiku, R,Python, Microsoft Suite
Sr Data Analyst / BI Developer
Walmart Academies
03.2019 - 06.2021
- Developed auto refresh, interactive dashboards for the leadership team (Directors and Sr. Managers), who are responsible to maintain 200 academies and train 1.2 million store associates
- Scheduled automated emails of the report every morning, which enable actionable conversation between Sr Manager and their teams. This saved 10 K man hours per year.
- Built a scheduling algorithm and implemented the same, to map eligible candidates to corresponding classes
- Built and implemented an algorithm to map the stores with nearest academies using Python and Google Maps API. This helped to optimize the travel time and also saved multi million dollars to the company
- Created a one stop shop reporting tool for VR trainings to provide Insight into 60 million training hours
- Proactively coordinated with compensation, data engineering, data security and business leadership teams to create a special compensation bucket for academy premium to save $1 Million to the company
- Responsible to provide weekly reports on numbers trained, capacity utilization and cost of trainings
- Enhanced the data migration between content app and academy app by creating appropriate rules to raise flags If there Is a sync Issue between the systems
- Implemented Data quality checks to ensure the data is in sync between OLTP, OLAP and Hive tables
- Worked on data migration from legacy Maria DB based application to Azure SQL
- Enhanced security on dashboards using User based filters (AD groups) and also automating user onboarding / exit process into AD groups
- Tools used: Big Query SQL, QuickBase, Alteryx, Tableau, Microsoft Suite
Research student
SiDi, University of Arkansas
09.2018 - 12.2018
- Analyzed 3DHub network data to generate a predictive model that determines the best location for future 3D Hub’s
- Used Python selenium for data mining and extracted data from 100 different web locations. Different data analysis concepts are explored to check the feasibility of model.
- Used regression model such as fixed, random and panel data models with R programing to understand significant variables in network formation
- Tools Used: Python Selenium, R programing, Microsoft Suite
Demand Forecasting Analyst
Rockline Industries
05.2018 - 12.2018
- Responsible for corporate Inventory procurement and scheduling product lines for Springdale operations.
- Calculated the Intermittent downtime across all the production lines and optimized the scheduling of production line to utilize the resources effectively and ensure the production is met to meet the demand.
- Optimized the inventory targets by performing data analytics using R by running Auto regressive and Integrated moving average models for past couple of years data. Convinced leadership team to implement the new targets. This helped to reduce the global supply chain inventory levels by $2 million.
- Enhanced and optimized global supply chain sales and operations tool for different branch plant locations.
- Improved forecasting process to ensure product availability for starving stores of Walmart using Retail link
- Optimized forecasting process for Dollar General and established distribution location targets for Rockline products. Goal of this project is to increase the demand prediction efficiency of targeted customers
- Proposed strategic changes by implementing the techniques learned from strategic management course.
- Tools used: JD Edwards, Logility, R programing, Alteryx, Tableau, Microsoft Suite
Senior Engineer / Senior Analyst
FIAT Chrysler Automobiles & Cummins India Ltd
07.2011 - 08.2015
- Developed process for simulating intricate cooling system models for future vehicles in NAFTA and APAC markets. Improved the simulation prediction accuracy from 78% to 90% and reduced cycle time of vehicle’s sub system model development by 25% using DMAIC approach which resulted in savings of $72K/annum
- Reduced cycle time of vehicle’s sub system model development by 25% using DMAIC approach
- Supported Thermostat packaging project by coordinating with different suppliers.
- Reduced the deviation between lube system modelling predictions and actual vehicle test data to 7% from 22%, using FMEA and value stream mapping tools to identify root cause as overhead lube oil passage modelling
- Created functional excellence practices and shared across global teams
- Automated the process to identify the best fit pump by balancing packaging constraints and system performance requirements
Education
MIT CTL Supply Chain trends certification -
10.2024
MIT CTL Supply chain certification -
10.2022
MS - Industrial Operations
University of Arkansas, College of Engineering
Fayetteville, AR12.2018
Project management Certification -
University of Arkansas, College of Engineering
Fayetteville, AR12.2018
BS - Mechanical Engineering
Andhra University, India
India01.2011
Skills
- 10 year experience in data and analytics
- Ecom Supply Chain Strategy and Simulation
- Supply chain Strategy and Simulations
- Azure & BQ SQL, Chat GPT, Microsoft Copilot, lama
- ETL tools - Alteryx, Tableau Prep, Dataiku
- Data Visualization tools – Tableau, Power BI
- Data Analytics using R and Dataiku
- AI powered Product and operational analytics
- Data mining using Python / Selenium
- Lean and Six Sigma methodologies
- International and cross functional work experience
- Agile and Kanban: Jira
- Technical Leadership & Mentor
Certification
- Harvard certified R programmer
- Microsoft SQL developer
Awards
Runner up for developing generic induction stove for rural India – EEEC global activity (Cummins), Won Don Miller Award for excellence (2016) for publishing a paper named “Simulation of Split engine cooling system (2015-26-0196)” in SAE (SIAT-15: Event organized by ARAI and SAE), W.E. Manning Memorial Scholarship - Fall 2018
Languages
English
Professional
Telugu
Professional
Hindi
Professional
Affiliations
· Runner up for developing energy efficient stove for rural India – EEEC global activity (Cummins)
· Won Don Miller Award for excellence (2016) for publishing a paper named “Simulation of Split engine cooling
system (2015-26-0196)” in SAE (SIAT-15: Event organized by ARAI and SAE)
· W.E. Manning Memorial Scholarship - Fall 2018
COURSE WORK
- Advanced project management, Lean Six Sigma, Statistics, Cost analysis, Operations management, Strategic management, Leadership principles and practices, Operations research
- Data analytics (using R), Supply chain management, Regression Analysis (Audit class), Economic decision making
Timeline
Sr Manager Data Scientist
Walmart Strategy (Centroid)
12.2023 - Current
Sr Data Scientist
Walmart Transportation
06.2021 - 12.2022
Sr Data Analyst / BI Developer
Walmart Academies
03.2019 - 06.2021
Research student
SiDi, University of Arkansas
09.2018 - 12.2018
Demand Forecasting Analyst
Rockline Industries
05.2018 - 12.2018
Senior Engineer / Senior Analyst
FIAT Chrysler Automobiles & Cummins India Ltd
07.2011 - 08.2015
MIT CTL Supply Chain trends certification -
MIT CTL Supply chain certification -
MS - Industrial Operations
University of Arkansas, College of Engineering
Project management Certification -
University of Arkansas, College of Engineering
BS - Mechanical Engineering
Andhra University, India
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