Kishore Kumar Maji

About Kishore Kumar Maji

I am a Data Scientist, Data Engineer, and Offshore Lead with 10+ years of experience delivering scalable data platforms, advanced analytics, and machine learning solutions in enterprise IT environments.I hold a Postgraduate Degree in Data Science and Business Analytics from The University of Texas and Great Learning, which has strengthened my expertise in data modeling, analytics, and machine learning methodologies.I specialize in end-to-end data engineering and analytics workflows, including data ingestion, transformation, modeling, visualization, and ML-enabled insights, using Databricks, PySpark, SQL, Python, Power BI, and Tableau. My work spans data warehousing, ETL development, and cloud implementations (Azure), enabling high-performance, production-ready solutions for global clients.Earlier in my career, I applied machine learning and predictive modeling to business problems, integrating models into analytics workflows for actionable insights. Currently, my focus is on scalable, cloud-native data solutions, leading offshore teams to deliver robust, high-impact data platforms that drive business decisions.As an Offshore Lead at TCS, I mentor teams, provide technical guidance, and define best practices for data engineering, analytics, and ML pipelines, ensuring solutions are future-ready, scalable, and business-driven. I am passionate about next-generation data architectures, AI-enabled analytics, and building high-performing data teams.Core Skills: Databricks | PySpark | SQL | Python | Power BI | Tableau | ETL | Data Warehousing | Machine Learning | Predictive Modeling | Cloud (Azure)| Analytics | Leadership

Experience

1. Data Scientist

   Tata Consultancy Services

   Oct 2021 — Present · Bengaluru, IN

   Leading a distributed offshore team, mentoring members on Databricks, PySpark, SQL, Python, and Power BI best practices. Architected and implemented scalable, high-performance data pipelines for analytics, reporting, and machine learning projects. Oversaw data integration, transformation, and validation workflows, ensuring accuracy and reliability across enterprise systems.Applied machine learning and predictive modeling to historical business datasets, integrating outputs into dashboards and decision-making workflows. Developed interactive Power BI dashboards, enabling stakeholders to access real-time insights. Provided technical leadership, strategic guidance, code reviews, and process optimization for offshore and onshore teams. Recognized as Star of the Quarter for delivering high-impact, innovative data solutions.Key Projects:Databricks Analytics Platform: Migrated large-scale ETL workflows to Databricks, improving pipeline efficiency by 30% and enabling faster reporting.Power BI Sales Dashboard: Designed interactive dashboards consolidating sales, inventory, and operational metrics across regions, reducing report generation time from days to hours.Customer Churn Insights: Built ML-based churn prediction pipeline in Databricks, integrated outputs into Power BI for real-time business monitoring.ODI Replication Analysis: Used EDA, Logistic Regression, and Hypothesis Testing to predict replication failures; proactively prevented customer-reported issues.Customer Email Optimization: Built framework using LDA, Non-NMF, and VADER sentiment analysis to categorize/prioritize emails, reducing response time.Warehouse & Sales Forecasting: Developed time series and regression models improving target accuracy by 5–7%, boosting sales by 3% and customer engagement from 3s to 10s.Technical Skills: Databricks | PySpark | SQL | Python | Power BI | ETL | Data Warehousing | Machine Learning | Analytics | Cloud (Azure)

Education

• Texas McCombs School of Business

  Post Graduate Program, Data Science and Business Analytics

• Great Lakes Institute of Management

  Post Graduate Program in DataScience and Business Analytics, Data Science and Business Analytics

• Kiit University

  Engineer’s Degree, Mechanical Engineering

  2011 — 2015