Manas Manoj

CTO

Mumbai, Maharashtra, India10 yrs 8 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Over 9.5 years of experience in data science.
  • Expert in Generative AI for Supply Chains.
  • Passionate about mentoring in data science.
Stackforce AI infers this person is a Data Science and AI specialist with extensive experience in Supply Chain optimization.

Contact

Skills

Core Skills

Generative Ai For Supply ChainsData SciencePredictive AnalyticsData AnalysisBusiness RequirementsMachine Learning

Other Skills

GNNNeo4jgraph MLPresentationsPrompt EngineeringGen AiAgentic AIAgentic AI DevelopmentLangGraphLangChainRetrieval-Augmented Generation (RAG)RagSQLNatural Language Processing (NLP)Data Visualization

About

Hi, I'm Manas Manoj, a Manager at Deloitte with over 9.5 years of experience in Supply Chain, Mathematical Optimization, and CPG Retail. I’m passionate about helping others break into the field of data science. Whether you're looking for resume reviews, guidance on transitioning into a data science career, or want to discuss data science projects, I’m here to assist. Let’s connect 1:1 to help you take the next step in your journey!

Experience

Deloitte

Generative AI Lead

Feb 2024Present · 2 yrs 2 mos · Mumbai, Maharashtra, India · Hybrid

GNNNeo4jgraph MLPresentationsPrompt EngineeringGenerative AI for Supply Chains+8

Itc infotech

Data Scientist

Apr 2022Feb 2024 · 1 yr 10 mos

  • At ITC, I was involved in the following projects
  • 1. Sales Forecasting for Multi category multi location problem
  • Designed anomaly treatment methodologies to treat peaks and abnormal data points
  • Designed a bi-drectional multivariate LSTM for Model
  • Also, Tested Pycaret AutomL Time series module
  • 2. Employee Attrition and Time to Attrition
  • Developed a classification model to predict the attrition risk of an employee
  • Also developed a survival model which predicts the time to attrite for an employee
  • Explainibility introduced as a result which tells the influential parameters of an employee of attrition risk
  • 3. Menu Engineering & Guest Behavior Analsyis for a leading Hotel Chain
  • Developed Segmentation classes to identify behavior and profile new guests
  • Developed deep agnostic models on menu engineering determining a popular vs non popular item for better profitability
  • Menu Recommendation models were developed to suggest menu items based on guest preferences.
  • 4. GeoSpatial Analytics for Retailers
  • Developed customized algorithms to identify the authenticity of a coordinate of retailers using sophisticated tools
  • 5. Fleet Mix Model for Warehouses
  • Optimisation Model which determines the ideal fleet mix to be deployed by Warehouse everyday to maximize distributor reach and ensure serviceability
  • 6. Route Plan Optimization
  • Optimization Model which detects the best combination of routes to take which resulted in the least cost and vehicles taken
  • A top up model which also finds new routes based on constraints and clubbing criteria to
  • test the efficiency of the system
  • 7. Quality Batch Optimisation
  • Developed an Optimisation model for a leading manufacturing customer to determine the set of operating parameters to achieve consistent quality approved product
  • Worked on Genetic algorithm, Stacked and Meta Learners & Particle Swarm Optimisation
SQLNatural Language Processing (NLP)Data ScienceData VisualizationBusiness RequirementsData Analysis+10

Themathcompany

Senior Data Scientist

May 2021Mar 2022 · 10 mos

  • 1. Scheduling optimization problem for a leading pharmaceutical customer whose problem was to generate optimized cleaning schedules to avoid any production loss based on very complex constraints
  • Tested algorithms like simulated annealing and Genetic algorithm
  • Made a proprietory algorithm which was customized to follow all exclusions and special constraints.
  • Through this the customer was able to save 25k litres of water
  • 2. Deploying the solutions on Codx Platform end to end for the customer involving Data engineering and model deployment to results visualization.
  • 3. Mentoring and Coaching people on Supply Chain and Logistics Vertical to enable them
  • to solve problems in this space
  • Also won the Value award in a short span of time.
SQLNatural Language Processing (NLP)Data ScienceData VisualizationBusiness RequirementsData Analysis+6

Hitachi abb power grids

Business Analyst

Nov 2020May 2021 · 6 mos · Vadodara, Gujarat, India

  • A short stint at Hitachi Energy, I developed the following
  • Entire GIS Production Planning Dashboard in Power BI with the following capabilities
  • Data Model Refreshed daily based on Incoming Material and Production
  • RCA to detect any possible delays in production schedule due to incoming material delay
  • Automated Reports scheduling
SQLBusiness RequirementsData AnalysisDeep LearningPandas (Software)SciPy+3

Hero motocorp ltd

Business Analyst - Data Science

Jun 2016Oct 2020 · 4 yrs 4 mos · Gurgaon, Haryana, India

  • At Hero, I was responsible for the After Sales Spare parts Business. I executed the following projects
  • 1. Auto SOQ Model- Based on the historical ordering patterns of Distributors, we designed the auto ordering
  • suggested order quantity to even out the sudden peaks in ordering and ensuring adequate supply. Piloted in
  • 5 distributors which pushed the overall ordering of distributors by 8% every week in value.
  • 2. Product Recommendation- Designed the cross sell and upssell Recommendation model for retailers within
  • a certain pin code/district in the Retailer App. It resulted in increase of average basket size by 5% and
  • average order value by 3%.
  • 3. Day to Day responsibilities included
  • BRD Creation & End to End Solution Design
  • Creation of analytical Reports on OBIEE
  • Gathering requirements from Business Team and solutioning.
  • Generating Price Matrix for Distributors & Micro Distributors
  • Resolving Customer Problems such as Inventory Reconcillation
Data ScienceData VisualizationBRDMachine Learning

Cori labs

Technical Team Lead

Jun 2015Jun 2016 · 1 yr · Bangalore

  • Design of short aircraft Landing gears

General motors

Intern

Jun 2014Jul 2014 · 1 mo

Gamesa

Intern

Jun 2013Aug 2013 · 2 mos

Education

Indian Institute of Management Ahmedabad

ePost Graduate Diploma — Advanced Business Analytics

Jan 2020Jan 2021

PES University

Bachelor of Engineering (B.E.) — Mechanical Engineering

Jan 2012Jan 2016

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