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Abhijay Mishra

@abhijaymishra

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Senior Data Analyst at FedEx Express who found $3M in growth opportunities and built LLM-powered transcript analytics.

India

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At FedEx Express, I identified 40+ growth opportunities across strategic accounts, with ~$3M in incremental revenue potential, and helped boost product volume by 12%. I also developed an LLM-powered customer transcript analytics pipeline using vector databases and embeddings to classify conversations and surface root causes.

My work has also included demand forecasting, pricing and product analytics, and machine learning across logistics, healthcare supply chains, and customer products. At LatentView Analytics Corporation, I developed customer segmentation and lead-scoring models for Adobe and analyzed product usage; at Chemonics International, I improved supply chain forecasting and built data pipelines.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst (Product)

Current

FedEx Express

Jun 2024 - Present (2 years 3 months)

Spearheaded pricing optimization across 500+ strategic accounts, identifying growth opportunities worth ~$3M and boosting product volume by 12%. Developed an LLM-powered customer transcript analytics pipeline using VectorDBs and embeddings to classify conversations and drive corrective actions.

Python SQL Machine Learning LLM Vector Databases Pricing Analysis Cohort Analysis A B Testing Product Strategy Forecasting Power BI Tableau ETL AWS Azure Git

Senior Analyst (Data Science)

LatentView Analytics Corporation

Jan 2023 - May 2024 (1 year 4 months)

Developed customer segmentation models for Adobe's Anniversary campaign, contributing to a 25% increase in customer engagement. Built a Random Forest-based lead scoring model for Adobe Creative Cloud, achieving 83% holdout accuracy and improving lead prioritization.

Python SQL Machine Learning Random Forest Customer Segmentation Statistical Analysis Product Analytics A B Testing

Associate (Data Science)

LatentView Analytics Corporation

Aug 2021 - Dec 2022 (1 year 4 months)

Applied K-means clustering to segment customers by gameplay, purchase, and subscription behavior, enabling targeted retention strategies that reduced churn by 15%. Evaluated promotional effectiveness using SQL, EDA, uplift modeling, and machine learning, driving 38% user growth.

Python SQL Machine Learning KMeans Clustering EDA Uplift Modeling Campaign Analysis

Data Programmer (Supply Chain)

Chemonics International

Mar 2020 - Aug 2021 (1 year 5 months)

Improved supply chain demand forecasting using time series models, increasing forecast accuracy by 40% and optimizing inventory planning. Built a Python-based EDA pipeline to cleanse and analyze supply chain data across 12 countries and 14,000 healthcare facilities.

Python SQL Time Series Analysis ETL Data Pipelines Supply Chain Analytics

Business Intelligence Analyst

Tabacalera USA

Jun 2019 - Nov 2019 (5 months)

Developed a BERT-based sentiment analysis model on 1.5M+ customer reviews, uncovering key pain points to inform product decisions. Developed 12 ETL pipelines in RStudio, automating e-commerce data processing and improving scalability.

Python R BERT Sentiment Analysis ETL RStudio Data Processing

Systems Engineer

Infosys Limited

Aug 2016 - May 2018 (1 year 9 months)

Optimized SQL queries, improving database efficiency by 40% and reducing script execution time by 25%. Authored technical documentation and led KT sessions for a 25-member team.

SQL Database Optimization Technical Documentation Team Leadership