Moraldeep Sachdeo

Senior Program Manager

About Me

Hello! I’m Moraldeep Sachdeo.
I am working professional with 5+ years of experience in Business Analytics, Supply chain, Procurement & Product management looking for exciting Opportunities to solve complex problems and build amazing products by leveraging analytics

Bio

Email
moraldeepsingh@berkeley.edu
Phone
+1 510-646-7721
Address
Santa Clara, California, US
Last Updated
Aug 2023
Status
-

Professional Skills

SQL
Advanced
Python
Intermediate
Excel
Advanced
Tableau
Advanced
Stakeholder Management & Cross Collaboration
Advanced
Project Scheduling Tools (JIRA)
Advanced
Machine Learning Algorithms
Intermediate
Database Management
Intermediate

Work Experience

Senior Program Manager at Micron Technology (San Jose)
July, 2022 - Present
● Spearheaded a cross-functional project to establish a diverse supplier database, driving revenue growth and ensuring responsible sourcing practices.
● Influenced and developed Global Procurement data science strategies and SaaS applications in Predictive Lead time, Cost, Risk, with a focus on responsible sourcing and ethical procurement.
● Led the implementation of innovative solutions to automate repititive tasks, improving procurement procure-to-pay finance solutions and supply chain processes
● Acted as a liaison for blockchain and data science consortiums, collaborating on initiatives to promote responsible sourcing practices and leveraging technology for sustainable supply chain management.
Program Manager at Western Digital Inc (San Jose)
March, 2021 - July, 2022
● Define, monitor and analyze key metrics to evaluate performance of various Product Segments for Global Ops
● Forecast demand by taking in weeks of stock quantity and mapping out accuracy for better estimates of upcoming demands
● Reduced Supply Chain disruptions by querying data using SQL and designing Tableau dashboards that identified root causes of Factory and Operations delays
● Managed Project involving creation of customized full stack platform where financial planning can be done using various knobs to mix the high-level plan based on planner input then going down to lowest granularity (Model number) that can be published to Finance
Data Analyst at Beam Solutions (San Francisco)
Aug, 2019 - May, 2020
● Built Python-driven unsupervised machine learning models that isolate and identify malicious or fraudulent financial activity
● Build a foundation and data pipeline for processing and analyzing unstructured, free text data
● Designed and engineered data pipeline, converting unstructured text corpus into tokenized, model-ready data
Data Science Intern at Imarticus Learning
Dec, 2018 - July, 2019
● Played a key role in a cross-functional project to optimize video discovery on the Imarticus Learning platform, employing A/B testing, NLP techniques, and machine learning algorithms (Word2Vec) to achieve a notable 12.5% increase in Click-Through Rate (CTR).
● Collaborated with a team of professionals to successfully implement an automated multi-tagging system, significantly enhancing user engagement and sales conversions, while streamlining content categorization and contributing to personalized learning experiences
Operations Engineer at Mercedes Benz India
Dec 2017 - Dec, 2018
● Handled Logistics and supply chain Operations at Factory Level for 4 variants of Mercedes Benz Cars (S, E, C, GLC)
● Forecasted number of defects using Regression and other Lean Six Sigma tools to identify Stations for process Improvement using SQL and Excel which lead to cost saving of minimum $15k annually
● ● Presented 20 KPI Statistics- Key Performance Index charts using Tableau for Mercedes Benz Executive Committee

Education

Masters in Operations Research from University of California, Berkeley
2019 - 2020
Track: Data Science, Product Management
Research Paper:https://ieeexplore.ieee.org/abstract/document/9443552
Bachelor of Technology - Mechanical Engineering from VIT Vellore
Track: Supply Chain Management
Research Paper:https://doi.org/10.1108/IJLSS-04-2018-0036

Portfolio

Product Management/ Research

Pedestrian Intention Detection

This project was a successful attempt to emulate the behavior of a human driver to guess the intention of fellow road users such as pedestrians to cross or not cross the road .

SQL & Lean Six Sigma Methodologies

Improving Manufacturing & Supply chain leadtimes via Simulation

The purpose of this research based project was to bridge the gap between Value Stream mapping to be used with Simulation softwares like Arena to bring out continuous changes in the manufacturing organisations and in idenitificaiton of bottlenecks.

SQL Queries and Projects

SQL Portfolio

Click on the image for the link

Tableau Reporting Projects

Tableau Portfolio

Click on the image for the link

Product Management Projects

HweAC Go-to-Market Strategies

Product: Connecting marketplace between HVAC OEMs and buyers
Evangelizing the product vision, developing achievable roadmaps, identifying go-to-market strategies, and forming product alternatives and prototypes.

Contact

+1 510-646-7721
moraldeepsingh@berkeley.edu