2021-2021

Data Science Intern at iNeuron Intelligence Pvt Ltd

I crafted impactful data solutions, having designed and implemented 40+ machine learning models, optimized deployment pipelines by 52%, and reduced query response times by 54%. My expertise spans ETL processes, statistical techniques, and efficient MySQL database design.

2022-2022

CRM Data & Insights Analyst at GS Management Services Pvt Ltd

In my professional journey, I've pioneered cross-functional collaborations, translating administrative systems into efficient engineering solutions. By consistently surpassing KPI benchmarks, I demonstrate a dedicated commitment to elevating scheme performance through meticulous data analysis. Notably, I revolutionized the school affiliation process, reducing setup time by one year and cutting costs by 90%, showcasing my ability to drive impactful and cost-effective solutions.

2024 - 2025

Data Scientist at TiiQu

-Developed and deployed a high-performing labeling model using machine learning techniques and ensemble models, achieving over 75% accuracy in categorization by leveraging extensive preprocessing and feature engineering. - Spearheaded comprehensive data preprocessing efforts, including cleaning, standardization, and feature engineering, enhancing model performance and accuracy. - Integrated diverse feature extraction methods, such as TF-IDF, BERT embeddings, GloVe embeddings, and Word2Vec embeddings, to capture intricate patterns in text data and optimize model performance. - Implemented an ensemble model utilizing Support Vector Classifier (SVC), XGBoost, and Logistic Regression, augmented with SMOTE resampling and class weights to handle imbalanced data distributions.

2023-2023

Market Research & Data Analyst at University of Essex

- Created interactive data visualization dashboard reports using Power BI and Tableau, presenting findings to stakeholders in a clear and concise manner. - Participated in cross-functional meetings and brainstorming sessions to discuss project requirements, timelines, and deliverables.

2025 - Present

Data Engineer @ZEISS

-Engineered 30+ Power BI dashboards using advanced DAX, RLS, Power Query dataflows, and on-premises gateways; built and automated ETL/ELT pipelines using SQL, PySpark, and Databricks to ingest data from SAP and enterprise data lakes, reducing reporting cycle time by 75% and enabling real-time KPI tracking for cross-functional teams. - Designed and simulated assembly line configurations in Visio using VBA scripting for NPI workflows, increasing production efficiency by 20%, and developed IoT-driven process automation using Python and Raspberry Pi 3 for the Vacuum Pump project, saving 48 hours per product cycle. - Built and deployed cross-platform desktop applications using Python, PyQt, HTML, and CSS; integrated CI/CD pipelines via Azure DevOps with automated packaging and testing.