Monish Kumar

Data Scientist

Bangalore, Karnataka, India7 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Over 8 years of experience in analytics.
Expert in predictive analysis and data-driven strategies.
Awarded Erasmus Mundus Scholarship for academic excellence.

Stackforce AI infers this person is a data-driven analytics professional specializing in e-commerce and retail sectors.

Contact

Skills

Core Skills

Sales And Promotional AnalyticsDescriptive AnalyticsAutomationBidding AnalyticsDashboard DesignData EngineeringWorkforce Management

Other Skills

AlteryxAnalytical SkillsAnalyticsArtificial Intelligence (AI)Automation of Analytical DashboardsBusiness AnalysisBusiness AnalyticsC++CollaborationCross Border TradeCustomer Churn AnalysisData AnalysisData AnalyticsData MiningData Modeling

About

An accomplished analytics professional with over 8 years of experience delivering actionable insights for Fortune top industries. Adept at collaborating with diverse stakeholders across multiple markets, driving data-centric strategies that enhance business performance. Expertise spans Predictive Analysis, Forecasting, Pricing Elasticity, Promotional Analytics, Supplier Negotiation, Sourcing & Procurement Cycles, Bidding Analytics, Overseas Logistics Channels, International Marketplace R&D (Seller Performance Management), Cross-Border E-commerce Trade, P&L Financial Analytics, Omnichannel Strategy, Supplier & Vendor Assessment, Multi-Store Operations, and Workforce Management. Awarded the prestigious Erasmus Mundus Scholarship, I hold a Bachelor of Technology (BTech) in Electrical and Electronics Engineering from the University of Patras, Europe, and KIIT University, India, with a strong foundation in research-driven problem-solving. Beyond work, I am passionate about maintaining a healthy lifestyle, traveling to unexplored destinations, and experimenting with culinary arts. Always eager to connect, share knowledge, and collaborate with professionals in decision sciences and analytics to drive innovation and impactful solutions. | “Torture the data, and it will confess to anything.” - Ronald Coase |

Experience

7 yrs

Total Experience

3 yrs 6 mos

Average Tenure

5 yrs 4 mos

Current Experience

Shell

2 roles

Data Scientist

Apr 2022 – Present · 4 yrs 1 mo

Associate Data Scientist

Jan 2021 – Apr 2022 · 1 yr 3 mos

Sales and Promotional Analytics: Collaborated and worked with business stakeholders from BE, NL, FR& LUX markets in orchestrating the entire transactional sales and promotional process for products through various descriptive analytical approach & provided strategic insights, thereby helping the business in faster recommendation and decision-making process
Food Stop Format Strategic Analytical Project: Ideated and designed an interacting dashboard for the new/revamp site in L market by tracking their day level key KPIs performances and descriptive pre-post analysis using statistical techniques, thus extensively helping the store format managers and the respective Catmans in assessing the performance of the site. This led the Business to add an additional 10 new/revamp sites to this analytical pipeline in FY22
Collaboration: Engaged with multiple BENEFLUX Onshore stakeholders to learn business, understand expectations, and conduct sessions to train them on driving insights from our products (Supplier Packs, Competitor Pricing, FF reporting)
Automation of Analytical Dashboards and Bl reports: Automated 8 - Power Bl analytical dashboards (end to end ET process and visualization) and few daily use-case BI Reports, thus an estimated cost savings of $ 100K from the initiative
Special Recognition Award: Awarded with SRA for outstanding dedication and commitment in strategic deliverables during the last couple of quarters (FY21), thus assisting and helping the stakeholders across all the four European countries (NL, BE, FR & LUX markets) in decision making and draw business value

Sales and Promotional AnalyticsDescriptive AnalyticsStatistical TechniquesAutomation of Analytical DashboardsPower BICollaboration

Mu sigma inc.

3 roles

Apprentice Leader

Jan 2021 – Jan 2021 · 0 mo

Decision Scientist

Promoted

Jun 2019 – Jan 2021 · 1 yr 7 mos

Sr. Business Analyst
Bidding Analytics: Leading a 5 member team in orchestrating the entire bidding process for products through an e-procurement platform & provided strategic insights, thereby helping Sourcing & Procurement stakeholders save close to $1.2M
Seller Acquisition Funnel: Led a 4 member team in designing interacting dashboards for a diverse set of sellers in the marketplace by tracking their day level key KPIs performances and ad-hoc analysis using statistical techniques, thus acquiring over 200 sellers in the first 3 months of the launch and hitting the ~$1M mark in sales in the same time-frame
Market Acquisition Strategy: Laid foundation of expansion to a new market in Mexico by analyzing and creating a long term strategy to break into the e-commerce market
Logistics Management dashboard: Almost single-handedly designed an interactive data-driven tool for the Seller Services team’s stakeholders to monitor the performance of various global carriers and strategize relevant carriers for International Marketplace sellers. Received a commendation letter from the Senior Director of IMD for the same
Org Initiative: Mentored 30+ trainee analysts by fostering the right mindset for problem-solving & equipping them with required skills of Math, Business, and Technology in the analytics space

Bidding AnalyticsDashboard DesignMarket Acquisition StrategyLogistics ManagementMentoring

Trainee Decision Scientist

Oct 2017 – Jun 2019 · 1 yr 8 mos

Business Analyst
Optimal Seller Analysis: Identified the KPIs to evaluate the performance of a large e-commerce retailer against the market leader and design & develop dashboards to track the financial & operational performance of sellers across the international market
3P Seller Assessment: Performed an Analytical case study on the seller to identify the reason behind their poor performance in a market
Data Engineering: Was involved in creating a data lake in Hadoop to accommodate the cross border related data for markets that were scattered across Oracle, Teradata, MariaDB, and different Hadoop clusters
Workforce Management: Worked with the strategic initiative team of one of the world's largest brick and mortar retailer to pinpoint problem areas by identifying the KPI’s and provided a market-wise analysis report that enables the leaders of individual markets to get insights and focus on areas of improvement
Sister Store Model: Developed a sister store model framework to quantify the benefits of comprehensive standardization of WFM practices. Identified job role requiring action to reduce the gap between scheduled work hours and actual hours
Labor Forecasting: Developed a model to predict the required labor hours for the new store format in an upcoming market. Built scenarios for validation

Optimal Seller AnalysisData EngineeringWorkforce ManagementLabor Forecasting

Indian institute of technology, bhubaneswar

Research Internship

May 2016 – Jun 2016 · 1 mo · Bhubaneshwar Area, India

Internship at IIT Bhubaneswar, Centre of Excellence for Novel Energy Materials (CENEMA) has been funded by MHRD, to develop cutting edge and futuristic materials for energy application. It focuses on development of two dimensional (2D) hybrid materials for energy storage and conversion

Onergy solar

Summer Intern (Techno-Commercial)

Jun 2015 – Jul 2015 · 1 mo · Kolkata and Bhubaneswar, India

Internship at ONergy pvt.ltd (Renewable Energy Resource) Appointed as Techno-Commercial In charge of solar energy survey and domestic utility.

Nspcl rourkela steel plant

Trainee

May 2015 – May 2015 · 0 mo · Rourkela, Odisha

30 day training at NSPCL Rourkela steel plant,
NTPC Sail Power Company Private Limited
Appointed as trainee under Captive power generation and distribution (Electrical Department).