Jul 2022 – Oct 2023 · 1 yr 3 mos · Noida, Uttar Pradesh, India

• Project 1: Managing in-house Centre of Excellence (COE) Team
• Operational Excellence
• Spearheaded manpower Capacity Planning & Devices Inventory management for Operational Excellence
• Demand Planning for Payment devices (QR/POS) using Triple exponential smoothing (Holt-Winter model)
• Managed Team of 66 Members (6 Team Leaders + 60 Associates) for TAT, Productivity & Quality Management
• Project 2: Offline Merchant Onboarding Ops – Make Onboarding Robust & Cost Efficient
• Deliverables
• Prepared comprehensive Current State Value Stream Map(VSM) of Onboarding Ops covering Granular Level Sub-Activities
• Spearheaded Workshop & tagged Sub-Activities into Must, Good & Not to have activities segments
• Removed Good & Not to have activities from Process after aligning with Business, Risk & Compliance Teams
• Optimized Must to have activities through 3P- People(Training), Product(Automation) & Process(SOP revision)
• Performed Cost Benefit Analysis(CBA), Price negotiations & final selection of API based Automation Vendors Achievements
• Cost saving at rate of Rs. 1.15 Cr / year in Merchant onboarding through Headcount reduction of 26.42%
• Achieved appreciation from Chief Operating Officer (COO) of the company, Mr. Bhavesh Gupta
• Project 3: Online Merchant Reactivation Ops – Reactivate dormant & churned Merchants
• Deliverables
• Performed RFM - R(Recency),F(Frequency),M(Monetary) Analysis for dormant Merchant Segmentation
• Resolved Merchant issues on commercial (pricing, settlement) & technical (PG-Payment Gateway integration) issues
• Scaled GMV by means of Reactivation, Cross-selling & Up-selling merchants on Paytm PG services Achievements
• Reactivated 80% of the qualified high potential merchants post meetings & negotiations
• Achieved Rs.6.24 Cr GMV by reactivation/cross-selling/Up-selling Paytm PG products
• Detected 9% of merchants as risky/suspicious of the total merchant data given

Apr 2021 – Jun 2021 · 2 mos · Mumbai, Maharashtra, India

• Project Sprint: E-Commerce Process Transformation
• Objective:
• The objective of project Sprint is to redesign & implement core enterprise processes of WUSA in areas of:
• 1. SCM – Supply Chain Management
• 2. F&A – Finance & Accounting
• 3. Customer Management
• Deliverables:
• 1. Slob provisioning (Process for SLOB identification in E-Commerce context)
• Literature survey to find most effective SLOB metric in E-comm
• Metrics for SLOB identification – Best Practices
• Find Competitors Strategy
• Apply the metrics on real Welspun data SKU level
• 2. Slob provisioning (Accounting for SLOB)
• Accounting challenges & best practices for SLOB
• 3. Sales order management (Pricing in E-commerce & omnichannel)
• Literature survey to identify best Machine Learning dynamic pricing models in USA E-Comm setting
• Dynamic pricing in E-commerce & Omnichannel retail
• Apply the Machine Learning dynamic pricing models in Python on real data
• Methodology:
• Implementation of project Sprint has been staggered into 5 sprints to have value releases in interval of 4-6 weeks. Each sprint in turn has 3 stages namely Process & SOP Redesign, Development & Execution and finally the Run stage.
• Scope of the project:
• At the time when summer internship started, Sprints 3 & 4 were in the design stage. My scope of project was in SLOB (Slow & Obsolete) inventory provisioning and Sales Order Management.
• Outcome:
•  Inventory optimization – Using SLOB identification metric developed by a Professor (Wroclaw University, Poland) 219 SKUs of March 2021 were SLOB which Inventory-sell-through & Inventory-turnover-ratio metrics found as 192 (12.33% error) & 202 (7.76% error) respectively.
•  Machine Learning models - Submitted 3 ML models for SKU-wise dynamic pricing in E-commerce using Thompson Sampling, Hypothesis Testing & Deep Reinforcement learning algorithms. These dynamic pricing ML algorithms have proven improvement of profit by around 11.1%.

Dec 2020 – Jan 2021 · 1 mo · Chennai, Tamil Nadu, India

• DC-SKU level forecasting accuracy improvement for sales through Modern Trade & E-Commerce channel using AI/ML
• Deliverables :
• 1. Conducted in depth literature review for AI/ML based forecasting methods used in FMCG sector in developed nations
• 2. Performed primary research on forecasting methods used by FMCG Peers of Mondelez International in India
• 3. Benchmarked 5 selected ML regressors (SLR, RF, XGBoost, CatBoost & LightGBM) on sample dummy dataset

Dec 2016 – Apr 2020 · 3 yrs 4 mos · Chennai, Tamil Nadu, India

• I ran a successful Tuition Business for underprivileged students in collaboration with a Professor in Dhanalakshmi College of Engineering for competetive exams like GATE & CAT

Feb 2015 – Jun 2016 · 1 yr 4 mos · India

• Worked in the field of Industry 4.0 related to metrology and reverse engineering. Involved in laser based coordinate measurements (Laser Trackers), laser scanning (handheld and portable) and reverse engineering.
• Roles & Responsibilities
• Executed As Is analysis of imported turbines and reverse engineered it for BHEL under Make in India
• Performed shaft alignment check to carry out breakdown Root Cause Analysis for Andritz Hydro
• Identified propeller shaft failure cause by five why’s technique & aligned shaft for Royal Navy of Oman
• Inspected missile canister assembly for Godrej & Boyce & provided them best-fit centerline with RMSE
• Aided ISRO scientists by coordinates Digital Read Out (DRO) feature in ground antenna alignment work
• Measured dredger ship dimensions and GD&T features conforming to ASME & ISO standards for L&T
• Conducted jig calibrations for Tejas aircraft, HAL by latest technology which reduced overall lead time
• Spearheaded a 3D laser scanner project and developed a virtual model of Turbine casting for Alstom
• Collaborated with marketing team in spreading awareness of latest, sophisticated & versatile technologies
• Represented API in Power-Gen exhibition & performed live technical demonstration for global customers
• Demonstrated API products at Alstom, Mahindra Auto, Tata motors, General Electric, Godrej and L&T
• Won the technical bids of HAL, Bharat Dynamics Ltd, BHEL & ISRO which helped generate revenue
• Achievements
• Received appreciation from Managers regarding service & contributed in increase of revenue by services
• Succeeded in upgrading various industries to new technology in India through services and demos

May 2013 – Aug 2014 · 1 yr 3 mos · Bengaluru, Karnataka, India

• Worked in the field of On-site machining, measurement, alignment and welding of large components in various sectors such as power, defence, heavy engineering, steel, automobile, aerospace etc.
• Roles & Responsibilities
• Supervised & expedited technicians in on-site machining project of Caterpillar mining excavator
• Conducted cause-and-Effect & alignment inspection for faulty wagon tippler of FLSmidth in NTPC
• Oversaw CAD-Part inspection with control chart generation of Ashlock Vessel dimensions for L&T
• Monitored OEM tolerances conformance of flange in failure analysis of leaking Boiler at Jindal Power
• Directed the task to align milling machine by SOP for machining of Plate Mill at Monnet Ispat & Energy
• Facilitated task of aligning modular milling machine by implementing ECRS in a project for CSL, Cochin
• Delivered laser inspection services & performed dimension control check to Tata & Rourkela Steel plants
• Supported marketing opportunity analysis exploring scope of new projects in plant while in service work
• Achievements
• Achieved On-time end to end completion of all the projects handled at Fleurdelis Technologies
• Illustrative and pertinent reporting of the projects carried out which were often appreciated by Managers