Vijaylaxmi Gautam

Business Development Executive

Mumbai, Maharashtra, India4 yrs 6 mos experience

Key Highlights

Led cost-saving initiatives achieving millions in savings.
Developed deep learning models with high accuracy.
Engaged with global stakeholders for impactful projects.

Stackforce AI infers this person is a Business Analyst with expertise in Supply Chain Management and Data Analysis in the FMCG sector.

Contact

Skills

Core Skills

Supply Chain ManagementBusiness AnalysisData Analysis

Other Skills

AdaptabilityBusiness InsightsCompetitive AnalysisCost AnalysisCost ReductionCritical ThinkingCross-functional Team LeadershipData AnalyticsData VisualizationDecision-MakingDeep LearningEvent PlanningInventory OptimizationKey Performance IndicatorsLeadership

About

Results-driven Business Analyst with proven expertise at Prism Johnson Limited and hands-on experience as an Supply Chain Management Intern at Hindustan Unilever. Skilled in data analysis (Advanced Excel, SQL, Python), data visualization (Power BI, Tableau), and process optimization to deliver actionable insights, improve operational efficiency, and drive cost reduction. Strong background in market research, inventory optimization, and stakeholder collaboration, with a demonstrated ability to lead strategic initiatives and support sustainable business growth. B.Tech from IIT BHU Varanasi, passionate about analytics, supply chain, and product management.

Experience

4 yrs 6 mos

Total Experience

2 yrs 6 mos

Average Tenure

1 yr 11 mos

Current Experience

Prism cement - prism johnson limited

Assistant Manager- Commercial Excellence Team

Jun 2024 – Present · 1 yr 11 mos · Mumbai, Maharashtra, India · On-site

Led 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐨𝐟 5 𝐲𝐞𝐚𝐫𝐬 of vehicle data and deployed EV four-wheelers with fast-charging systems for in-plant and local transport, replacing diesel vehicles and achieving ₹30 𝐥𝐚𝐤𝐡 in estimated 𝐜𝐨𝐬𝐭 𝐬𝐚𝐯𝐢𝐧𝐠𝐬 and 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐬𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲.
Spearheaded 𝐯𝐞𝐧𝐝𝐨𝐫 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 and implementation of 𝐜𝐨𝐬𝐭-𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐚𝐥𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐯𝐞 𝐟𝐮𝐞𝐥 blending in mining equipment, reducing diesel consumption and achieving ₹14 𝐥𝐚𝐤𝐡 in monthly savings.
Led an 𝐢𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 initiative targeting ₹12 crore in non-moving stock by developing a 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝 and driving department-wise consumption planning, successfully liquidating ₹9.12 𝐜𝐫𝐨𝐫𝐞 in dead stock and reduced 𝐡𝐨𝐥𝐝𝐢𝐧𝐠 𝐜𝐨𝐬𝐭.

Data AnalysisCost ReductionVendor DevelopmentInventory OptimizationSustainabilitySupply Chain Management+1

Unilever

Summer Intern (Unilever Leadership Internship Program 2023)

May 2023 – Jul 2023 · 2 mos · Mumbai, Maharashtra, India · On-site

Amongst 30 out of the applicants from all over India selected for Unilever Leadership Internship Program 2023.
𝐃𝐫𝐨𝐯𝐞 𝐩𝐥𝐚𝐬𝐭𝐢𝐜 𝐫𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧, improved Horlicks and Boost margins, and analyzed VFFS processes across factories.
Conducted 𝐦𝐚𝐫𝐤𝐞𝐭 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡, established benchmarks, and devised 30% packaging material reduction plan.
Engaged with 10+ 𝐠𝐥𝐨𝐛𝐚𝐥 𝐬𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫𝐬, ideated, and executed collaborative initiatives, including advanced movable auger, enhanced static elimination, optimized variable pitch screw, ultrasonic sealing, and brick pack construction.
Collaborated with 10+ 𝐠𝐥𝐨𝐛𝐚𝐥 𝐬𝐮𝐩𝐩𝐥𝐢𝐞𝐫𝐬 and stakeholders including some major organizations like starpac india ltd, nichrome india ltd, Mespack india pvt. Ltd, Hassia packaging pvt ltd and global brands like Bosch, Sonimat.
Formulated compelling 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐚𝐬𝐞𝐬, estimating savings of multi million € PA in Nutrition section.
Awarded Pre-Placement Interview on basis of project performance and overall conduct with the colleagues during stint.

Market ResearchStakeholder EngagementCost AnalysisBusiness Analysis

Microsoft

Microsoft Engage'22 Mentee

May 2022 – Jul 2022 · 2 mos · Varanasi, Uttar Pradesh, India

Drowsiness Detection Deep Learning Model
Developed a 𝐝𝐞𝐞𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥 to detect drowsiness and prevent road accidents.
Applied 𝐏𝐲𝐭𝐡𝐨𝐧-𝐛𝐚𝐬𝐞𝐝 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 for proactive accident prevention.
Utilized key 𝐏𝐲𝐭𝐡𝐨𝐧 𝐥𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: OpenCV, NumPy, Keras, Pandas, TensorFlow, Matplotlib, and Sklearn.
Built and trained a 𝐂𝐍𝐍 for face detection using the cascade dataset.
Achieved 93% accuracy on test data.
Long-term vision: Implement real-time 𝐝𝐫𝐨𝐰𝐬𝐢𝐧𝐞𝐬𝐬 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 from live video capture.

Deep LearningPythonMachine LearningData Analysis