Headline

Project Manager at Capgemini Invent | Artificial Intelligence | Machine Learning | Big Data Analyst | Data Engineering | Deep Learning | Generative AI | NLP | BI

About

Hello, I'm Shubham, a Data Scientist and AI professional with 7+ years of experience in the field. I specialize in using Python, SQL, Databricks, Spark, Power BI and other tools to leverage data and drive insights that inform business decisions. In my current role at KPMG, I am responsible for analyzing data to deliver insights that help clients make informed decisions. I have contributed to projects in industries such as finance, healthcare, and retail, and have achieved significant results. In addition to my work experience and as part of my achievements, I am proud to have received the top performer award by IIIT Bangalore as part of my diploma program. I was also a finalist and top 10 in MachineHack Analytics Olympiad 2022. I hold a master's degree in data science from Liverpool John Moores University, where I gained a solid foundation in data analysis and machine learning. I am also proficient in other relevant tools and technologies, such as ADF, SSIS, SQL Server, and OpenCV. Outside of work, I enjoy playing football, which has helped me to develop teamwork, communication, and leadership skills that are essential in data science. I am always eager to learn and grow, and I believe that curiosity and a passion for innovation are critical to success in this field. If you're interested in connecting or learning more about my work, please feel free to reach out! Email Id - shubhamsahay1696@gmail.com

Location

Bengaluru

AI stack

cursor

opencode

claudecode

Work experience

Project Manager at Capgemini Invent, Apr 2026 - Present · 5 mos, Bengaluru, Karnataka, India · Hybrid

Senior Consultant at Capgemini Invent, Jul 2024 - Apr 2026 · 1 yr 10 mos, Bengaluru, Karnataka, India · Hybrid

Consultant at KPMG, Oct 2023 - Jun 2024 · 9 mos, India

Associate Consultant at KPMG, Apr 2021 - Sep 2023 · 2 yrs 6 mos, Bengaluru, Karnataka, India, • Worked on designing and writing testcases then automating using GitHub Workflow along with setting environment, debugging and review of Python code. • Worked over GCP platform, specifically Jupyter workbench for writing code, Big Query for storage of data. • Written code to add/modify new features to data science pipeline in python environment. • Participated in daily scrum meetings and sprint planning sessions. • Designed and developed number of predictive and descriptive use-cases. • Created power bi dashboards/reports for each of the use-case in order to present analysis to business. • Interacted with stakeholders on regular basis to make sure analysis performed are as per need of business. • Worked on use-cases which involves machine learning models like forecasting/time series models, clustering algorithms, linear regression, Decision Trees, Random Forest. • Worked on data reconciliation for identifying various data sources in old codebase. • Implemented the updated logic on the new tech stack internal to client. • Designed Map Reduce logic based on the project requirements. • Published data on screens specific to surveillance by integrating using API.

Software Engineer at Mindtree, May 2019 - Apr 2021 · 2 yrs, Bangalore, • Worked on end-to-end designing, development, and testing of highly scalable, efficient, robust & fault-tolerant Big Data pipelines and frameworks. • Worked on automating the complete quality check process by implementing machine learning concepts like time-series analysis and prediction. Deployed it in the Production environment for continuous training. • Worked on designing ETL, Data Warehouse models, and reports for development and implemented stages of the project pipeline according to client requirements. • Designed and developed various FACT/Dimensions tables infrastructure from scratch as well as defined the relationships between them to handle hundreds of terabytes of data on SPARK delta lake while storing the data on Azure using unmanaged tables. • Worked on Data Visualization tools like Power BI. Developed various reports/dashboards as per client requirements and published them over cloud.

Trainee at Mindtree, Jan 2019 - Apr 2019 · 4 mos, Bhubaneswar, Odisha, India, • Trained and gained experience in Big Data Technologies like SPARK using SCALA/Python. • Learned Data Warehousing concepts like OLAP, OLTP, FACT, and Dimensions. • Gained skills like SQL, JAVA, Hive, and Hadoop.

Education

Master of Science - MS, Machine Learning and Artificial Intelligence, Liverpool John Moores University

Postgraduate Diploma, Machine Learning and Artificial Intelligence, International Institute of Information Technology Bangalore