Avik Majumder

Associate Partner

Bengaluru, Karnataka, India8 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 8 years of experience in advanced analytics.
Expert in model development and validation using Python and R.
Winner of multiple Hackathons showcasing quick problem-solving skills.

Stackforce AI infers this person is a Data Science expert with a strong focus on Fintech and Retail analytics.

Contact

avikmajumdar2845@gmail.com LinkedIn

Skills

Core Skills

Statistical ModelingForecastingModel DevelopmentMachine LearningStakeholder ManagementOptimizationCustomer SegmentationPredictive ModelingClustering

Other Skills

ANOVAAnalyticsCustomer Churn ModelingCustomer Segmentation StrategyData AnalysisDecision TreesDemand ForecastingEconometricsExploratory Data AnalysisGenerative AIGoogle Cloud Platform (GCP)Linear RegressionLogistic RegressionMarket Basket AnalysisMicrosoft Excel

About

Data Science Professional with more than 8 years of hands-on experience in advanced analytics. Primarily involved in model development and validation using software like Python, R, SAS, SQL, BigQuery and MS Excel to leverage the capabilities of statistics, machine learning, deep learning in solving complex business problems in both on-prem and cloud architecture. Experienced in stakeholder management/client engagement activities in multiple domains including but not limited to BFSI (Wholesale/Retail banking), Retail, FMCG, CPG and Supply Chain. Thanks to my deep roots in the field of Statistics, I have always been fascinated by data science and it's implementation in real scenarios to analyse and come up with innovative, data driven solutions for business use cases. Being a winner of multiple Hackathons shows capability of providing quick ad hoc solutions to different social and business use cases within a short stipulated time frame without compromising on accuracy. To summarize, I would love to describe myself as Data Scientist by profession and an enthusiastic Statistician by choice.

Experience

Hsbc

3 roles

Assistant Director | CIB | Wholesale FST

Promoted

Oct 2025 – Present · 5 mos · Hybrid

Assistant Vice President | CIB | Wholesale FST

Dec 2024 – Oct 2025 · 10 mos · Hybrid

CIB Data & Analytics | FST Collection & Recovery

Manager | GFA | Finance Operations

Feb 2022 – Nov 2024 · 2 yrs 9 mos · Hybrid

1. PPNR Forecasting: Developed statistical and analytical models for different KLIs contributing to BS and P&L components – EOP Balance, NII, NFI for Personal Loan portfolio for HBUK Finance team. Analyzed sensitivity to different MEVs for robust model development enhancing AOP and Stress testing framework. Implemented this on the cloud as part of the FotC program headed by the Business Finance team, enhancing overall transparency and turnaround timelines for model usage.
2. NxtGen Toolkit: Led E2E development of customizable model development toolkit with minimal touchpoints, empowering model developers to quickly obtain data, run multiple statistical & machine learning algorithms and assess model performances, enhancing overall model artefacts repository for easy IMR communication and team productivity.
3. WPB Hongkong Deposit Model Development for PRA Stress Test & GIST: Stakeholder management and model development for Total Deposit and sub-products like Savings / Current / Term Deposit for Hongkong demography.

Kimberly-clark

Data Scientist

Oct 2020 – Jan 2022 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Responsible for end-to-end integration and management of model life-cycle including but not limited to model development and validation as well as stakeholder management in Data Science team of Kimberly Clark Corporation. Role reported to Global Head of Analytics, KCC.

Landmark group

Associate Data Scientist | DLL

Jul 2019 – Oct 2020 · 1 yr 3 mos · Bangalore · On-site

1. Space Optimization: Optimized space planning for concepts like HomeCentre, BabyShop and LifeStyle present across globe for better GM ROI per linear Metre. Provided stakeholders with recommendations at granular level for ease of implementation. Led to 4% incremental revenue.
2. Spend Analytics: Developed and validated statistical models to predict the store rents for FY 2020-‘21. Associated with the Finance team of Landmark Group of Industries to generate the actionable insights across GCC (Gulf Corporation Council) countries as a part of Spend Analytics for FY 2020-‘21. Led to better store rent negotiation for all our stakeholders, thereby benefiting them by 0.7B AED.
3. Customer Segmentation: Worked in a strategic project enabling our Customer Value Management (CVM) team to design segment wise campaigns basis the customer preferences and KPI’s.

Infosys

Senior Associate Analyst | Data Science | DNA

Aug 2017 – Jun 2019 · 1 yr 10 mos · Bengaluru Area, India · On-site

1. Work Force Demand Forecasting: Performed EDA and built time series models to forecast human resources required at Infosys for various skill combinations for FY 2018-‘19 in collaboration with internal HR Analytics team.
2. Developed and validated Customer Churn model for a CPG hyper-giant of South-East Asia.
3. Performed clustering to leverage the distinct patterns of customer segments for FMCG client.
4. Collaborated with Australian client for the shelf space assortment exercise which led to an increased cross-sell volume in the physical stores.