Open to Full-Time Opportunities
I Don’t Just Analyze Data — I Translate It Into Opportunity.
Work Experience
Boviet Solar
MIS KPI Analyst (Jul 2025 - Jan 2026)
Engineered 15+ end-to-end ETL pipelines (used by 150+ engineers and 1000+ employees) integrating SAP, Oracle database and Power BI supporting real-time reporting with 100% pipeline uptime eliminating 3+ hours of daily manual reporting Processed 900M+ daily records across SAP, Oracle, and Microsoft Fabric data warehouses via 7+ automated data refresh workflows with advanced Power Query and DAX transformations, achieving 99.8% data accuracy and standardizing KPI reporting for executive leadership Architected 20+ enterprise-grade Power BI dashboards with streamlined SQL data models and AI-assisted decision support, accelerating query performance by 4.5x across 7 departments and reducing executive decision-making time by 70% Reclaimed 10+ hrs/week by scripting end-to-end SAP data extraction via Python RPA (Playwright, PyAutoGUI), accelerating analytics delivery Designed real-time CDC pipelines using Debezium, Kafka, and Docker to replicate Oracle transactional data into PostgreSQL and Azure Data Lake with sub-second latency, achieving 99.9% availability and establishing disaster-recovery-ready cloud infrastructure
Align Associates
Data Analyst Intern (Mar 2023 - Apr 2024)
Improved delivery forecasting accuracy by 15% through predictive modeling techniques such as clustering and regression, directly enhancing sales efficiency. Supported over 100 QA operations by performing data profiling and validation, which strengthened pipeline reliability and ensured business readiness. Collaborating cross-functionally in Agile sprints, I helped define key performance indicators, optimize ETL pipelines, adapt to shifting priorities, and streamline reporting processes for better decision-making.
Vellore Institute of Technology Chennai
Research Intern | Employee Attrition Analysis (Jul 2023 - Sep 2023)
Enhanced employee attrition prediction accuracy by 20% using Machine Learning models and hypothesis testing (t-test, Chi-squared, A/B testing). Delivered actionable insights that reduced churn by 15%, saving ~$24K annually in rehiring costs. Created R-based dashboards to effectively communicate trends to non-technical HR stakeholders, improving alignment between data findings and strategic decisions
Multi-D Technologies (OPC) Pvt Ltd.
Autonomous Systems Engineer Intern (Jun 2023 - Aug 2023)
Designed and deployed a fully autonomous AI-powered drone system to automate gas pipeline leak detection, resulting in a 5x improvement in detection precision and an 80% reduction in manual intervention. Enhanced operational safety and efficiency by 30% by developing and testing autonomous flight functionalities using QGroundControl, ArduPilot, Python, and Pixhawk, delivering reliable and scalable performance in real-world flight conditions.
What I do
AI Engieering & FDE
Design and deploy production-grade AI/LLM solutions, build agentic workflows and RAG pipelines. Act as a technical bridge between client needs and forward-deployed engineering solutions.
Data Engineering
Build and optimize scalable data pipelines, automate ETL workflows, and manage cloud-based data systems (Azure, Snowflake).
Data Analysis & Visualization
Clean and analyze datasets, uncover trends, and create interactive dashboards using Power BI, Tableau, and R.
ML & Predictive Modeling
Apply machine learning techniques for forecasting, classification, and anomaly detection to drive business decisions.
Business Intelligence
Translate complex data into actionable insights, define KPIs, and support cross-functional teams with data-driven solutions.
Stakeholder Communication
Communicate insights through clear reports and dashboards, support decision-making in QA, HR, and sales teams, and ensure alignment between data outputs and business objectives.
The tools I'm using
AI
Multi Agentic Workflows, Agentic AI
RAG
Multi-Model Hybrid RAG Pipelines
Python
SQL
MS SQL Server, PL/SQL, PostgreSQL
MySQL
R
Power BI
DAX, Dashboards
Power Automate
Automations
Tablaeu
Dashboards
ER Studio
Dimensional Modelling
Machine Learning
Google Cloud
Big Data, BigQuery, APIs | Kubernetes
Azure Data Factory
Data Lakes, Fabric, Blob Storage
Databricks
Data Modelling
Snowflake
Data Warehousing
Alteryx
Data Profiling, Data Cleaning
Docker
Apache PySpark
Hadoop
Neural Networks
Keras, Tensorflow
Java
JavaScript, Netbeans, Swing
Data Libraries
Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn
Excel
VLOOKUP, Pivot Tables
MS Office Suit
Excel, Power Point, Word, Outlook, OneNote, and OneDrive
Git
Linux
My Projects
References
I'm Je
A Graduate student with Masters in Information Systems at Northeastern University, Boston, Massachussetts.
How I Add Value
Data Engineering
Build scalable ETL pipelines using ADF & PySpark
Azure Data Factory, Databricks, PySpark, Snowflake
Reduced processing time by 60% for 100K+ records
AI Engineering
Build LLM-powered apps and agentic workflows using RAG and prompt engineering
OpenAI/Claude APIs, LangChain, vector databases (Pinecone, FAISS)
Cut manual research time by 40% with an automated AI assistant
Data Analytics
Transform raw data into meaningful insights and Visualizations
Python, Power BI, SQL, Excel, Tableau
Delivered 15% improvement in decision-making with dashboards
