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Hey folks, I'm
Data Analyst Data Scientist Data Engineer

Data analytics engineer with a strong foundation in data analytics, machine learning, and statistical modeling. Passionate about leveraging AI and data-driven insights to solve real-world problems and drive innovation.

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Experiences

2025

Analyst4Consulting, Inc. (Sep 25 - Present)

Build and optimize Qlik dashboards backed by PySpark/SQL pipelines on multi‑million‑record datasets, integrating real‑time and batch sources. Automate reporting workflows, manage AWS data lifecycle processes, and improve data accuracy, performance, and visualization clarity for enterprise analytics.

ML Data Associate IIAmazon (Jun 25 - Sep 25)

Delivering multimodal human-insight datasets (text, audio, image, video) to train and refine next-generation LLMs, streamlining annotation workflows to cut error rates by 15% and implementing tooling optimizations that improved task turnaround by 10%.

Data ScientistSquark AI (Feb 25 - Jun 25)

Managed AWS infrastructure, optimized cloud performance, and refactored key components of an AI-driven SaaS platform to enhance scalability, efficiency, and maintainability.

2024

Data Analyst / Fitness ConsultantNortheastern University (May 24 - Dec 24)

Utilized data analysis to optimize equipment maintenance, improve patron satisfaction through feedback-driven insights, enforce safety protocols, and foster a positive, engaging environment while ensuring equipment functionality.

Data AnalystNortheastern University (Apr 24 - May 24)

Streamlined event operations by forecasting attendance, automating data extraction for accommodations, managing communications, coordinating technical setups, and ensuring organized student check-ins.

2023

Data Analyst
Helen of Troy (Jun 23 - Dec 23)

Developed and deployed machine learning models, optimized data processing and NLP, identified user experience improvements, automated workflows, and collaborated on scalable data solutions to enhance performance and retention.

2022

Programmer AnalystCognizant Technology Solutions (Apr 22 - Aug 22)

Developed and maintained COBOL and DB2 applications, integrated mainframe systems with modern platforms, optimized data extraction with SQL, and ensured seamless functionality through collaboration and rigorous testing.

Data AnalystCognizance Financials (Jul 21 - Mar 22)

Conducted quantitative analyses, created advanced visualizations, and delivered actionable insights through dashboards and presentations to support investment decisions and optimize portfolio performance.

2021

Programmer Analyst TraineeCognizant Technology Solutions (Feb 21 - Jun 21)

Developing e-commerce applications and crafted SQL queries to enhance data retrieval and manipulation.

2019

Graduate Engineering Trainee

L&T Power (May 19 - Jun 19)

Applied analytical skills to enhance manufacturing processes

Educations

2022

Master's in Data Analytics Engineering

Northeastern University, Boston, MA

GPA: 3.91
Coursework:
Applied Natural Language Processing, Machine Learning Operations, Neural Networks and Deep Learning, Statistical Learning, Data Mining, Computation and Visualization, Foundation to Data Analytics, Data Management for Analytics.

2017

Bachelor's in Mechanical Engineering

VIT Vellore, TN, India

Coursework:
Statistics for Engineers, Operations Research, Advanced Java Programming, Applied Numerical Methods

Skills

Projects

View More Projects on GitHub
Brain-Tumor-Classification
End-to-End MLOps Brain Tumor Classification
Python Docker Github Airflow Streamlit Kubernetes FastAPI GCP Mlflow Tableau

This project focuses on brain tumor classification by developing, deploying, and maintaining a machine learning model. Utilizing an MLOps approach, it streamlines model lifecycle management with a structured directory for data version control, modular coding, and containerized deployment.

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NHANES Diabetes Dashboard
NHANES Diabetes Dashboard
Python Streamlit Plotly Matplotlib Seaborn

A comprehensive interactive dashboard using Python and Streamlit that visualizes diabetes data from the National Health and Nutrition Examination Survey (NHANES). This project focuses on data visualization, statistical analysis, and health informatics.

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Steam Video Game Recommendation System
Python Scikit-learn Pandas Collaborative Filtering Content-Based Filtering

This project implements a hybrid recommendation system for video games, utilizing both Collaborative Filtering and Content-Based Filtering techniques to provide personalized game recommendations.

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Marketing Campaign Dashboard
Tableau

This project contains a Tableau dashboard for analyzing customer data which includes visualizations that provide insights into customer behavior, marketing campaign effectiveness, spending patterns, and demographic distributions.

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CredRisk: A Credit Risk Predictor Model Using Machine Learning
Python XGBoost Pandas Matplotlib Logestic Regression Random Forest Tree

Inspired by data-driven insights, this project predicts loan risk by cleaning and pre-processing a large dataset, creating features to improve accuracy, and applying machine learning algorithms.

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Sentiment Analysis of Amazon Reviews using Transformers
Python NLP GPT 2 BERT BiGRU

This project applies advanced Natural Language Processing (NLP) techniques, leveraging GPT-2 and BERT-BiGRU models, to classify Amazon product reviews into positive or negative sentiments.

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US Crime Analytics
Python Tableau

This project aims to offer a clear perspective on US crimes through interactive visualizations of solved cases across regions. It involves collecting and cleaning crime data, analyzing patterns and trends, and creating interactive dashboards and maps using Tableau.

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Vehicle Insurance Policy Data Management System
Python SQL MongoDB

This project aims to create a robust vehicle insurance database management system for customers, companies, government, and analysts. It includes essential data fields and employs EER and UML diagrams to design a relational model.

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