About Me
If Sherlock Holmes had a laptop, a caffeine addiction, and an unhealthy obsession with data, he'd probably be me. By day, I'm a Data Scientist wrangling numbers, training rogue AI models, and whispering sweet nothings to SQL databases. By night, I'm either debugging code, debating whether R is superior to Python (it's not, fight me), or convincing myself that this will be the week I finally master Kubernetes. With experience spanning data science, machine learning, and data engineering, I've built AI systems that optimize sales, predict churn, and—if given enough coffee—might just take over the world (ethically, of course). When I'm not making dashboards look pretty in Tableau or telling a neural network to do better, you'll probably find me listening to music, watching football, or writing about why data science is basically modern-day wizardry.
Technical Skills
Work Experience
Global Sales Planning Analytics Intern
Jun 2024 - Jul 2025
Siemens Digital Industries Software - London, UK
- Spearheaded the design, development & deployment of critical Tableau dashboards, including:
- Consensus Dashboard: Monitored product demo performances across various industries and portfolios.
- ICP Country Performance Dashboard: Provided insights into planned sales vs actual performance for enhanced sales planning.
- Account Development Team Dashboard: Monitored pipeline progress and conversion rates, facilitating data-driven decision-making.
- Led the end-to-end project lifecycle, collaborating with Directors, VPs, and Portfolio Developers to gather requirements and drive data-driven decision-making.
- Designed and deployed optimized ETL pipelines integrating data from Salesforce, Qlik, and SharePoint, ensuring seamless production deployment and global accessibility.
- Facilitated the Global Integrated Country Planning (ICP) program, enhancing sales planning through strategic data insights.
- Designed a Time Series Outlier Detection and Forecasting Model using SARIMA & Bi-LSTM to identify anomalies and improve sales projections.
Data Engineering Intern
Aug 2022 - Feb 2023
Developer As a Service (DaaS) - Atlanta, US (remote)
- Architected an end-to-end ETL pipeline for processing over 21,000 textual image datasets using OCR and NLP techniques, reducing processing time by 80%.
- Optimized SQL queries and indexing strategies in MongoDB, improving database read/write efficiency by 45%.
- Built an AI-powered case builder that helped California lawyers draft legal cases efficiently by integrating NLP models and automation workflows.
Machine Learning Research Intern
Apr 2022 - Sept 2022
Spartificial - Dehradun, India
- Worked on a high-noise Pulsar Star dataset to optimize Pulsar Star Detection in imbalanced datasets by applying classification algorithms, achieving a model accuracy of 93.5%.
- Analyzed the impact of dimensionality reduction and resampling application order on model accuracy.
Data Science Intern
Sept 2021 - Oct 2021
The Sparks Foundation - India
- Conducted in-depth exploratory data analysis on diverse datasets, uncovering key insights to drive data-driven decision-making.
- Mastered supervised and unsupervised learning techniques to solve complex problems and enhance analytical capabilities.
Education
University of Liverpool, UK
MSc. Data Science & AI (2023-2025)
- Relevant Coursework: Machine Learning & BioInspired Optimisation, Applied Artificial Intelligence, Databases and Information Systems, Computational Intelligence, Data Mining & Visualisation, Programming Fundamentals, Research Methods in Computer Science, Mathematics & Statistics for Data Science & AI.
- Research Focus: Developing AI-driven predictive models for Sales Planning.
- Awards: Commonwealth Postgraduate Bursary, PGT Vice-Chancellor's International Attainment Scholarship for Academic Excellence.
Indian Institute of Technology, Madras
Online Diploma in Data Science (2022-2023)
- Key Subjects: Business Analytics, Business Data Management, Computational Thinking, Database Management Systems, Machine Learning Foundations, Machine Learning Techniques, Machine Learning Practice, Mathematics for Data Science - I & II, Statistics for Data Science - I & II, Programming in Python, Tools in Data Science, Modern Application Development I & II, Data Structures and Algorithms in Python, System Commands.
- Capstone Project:
- Designed and built an end-to-end data pipeline for Sentiment Analysis on Movie Reviews.
- Developed "Grocify," an online grocery shopping application.
- Achievement: Completed with distinction.
Tezpur University, India
BSc. in Physics (2020-2023)
- Core Modules: Quantum Mechanics, Electromagnetism, Thermodynamics, Statistical Physics, Classical Mechanics, Electronics, Fuzzy Logic and Neural Networks, General Biology, General Chemistry, General Mathematics, Introduction to Scientific Computing, Mathematical Physics, Modern Physics.
- Research Project: Investigated the dust properties of the Coalsack region and ran simulations to calculate the dust temperature and infrared intensity due to contributions from the three brightest stars (Alpha Cru, Beta Cru, and Beta Cen). Compared the model’s results with real-world observations.
- Honors: Graduated with Honors (GPA: 8.06/10).
Publications
Health Risk Detection via ML
Published in IEEE Xplore.
Certifications
AWS Certified AI Practitioner
Issued by Amazon Web Services in 2025.
Generative AI using Large Language Models
Issued by AWS & DeepLearning.AI in 2023.
Matillion Data Productivity Cloud, Foundations
Issued by Matillion Academy in 2023.
HackerRank SQL (Basic) Certification
Issued by HackerRank in 2023.
HackerRank SQL (Intermediate) Certification
Issued by HackerRank in 2023.
Deep Learning with PyTorch: Object Localization
Issued by Coursera in 2023.
Python for Data Science, AI & Development
Issued by Coursera in 2021.
Mathematics for Machine Learning: Multivariate Calculus
Issued by Coursera in 2021.
Tools for Data Science
Issued by Coursera in 2020.
Interests
Traveling
Powerlifting
Music
Football