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Data and cloud professional transitioning into data engineering, with hands-on exposure to big data, Delta Lake–based data management, and end‑to‑end ETL pipelines. Recently completed projects and courses in Databricks data management, Unilever-branded supply chain analytics, and data engineering (pipelines, ETL, Hadoop), building on earlier experience as an AWS Cloud Administrator and threat/protective intelligence analyst. Adept at working with large datasets, designing reliable data workflows, and generating actionable insights for business and risk functions. Key Competencies Data Engineering: ETL/ELT pipelines, batch processing, Hadoop ecosystem, data quality checks Big Data & Storage: Data lakes and Delta Lake concepts, scalable data management Analytics & Domain: Supply chain analytics (Unilever course series), reporting, KPI tracking Cloud & Infrastructure: AWS EC2 administration, IAM, basic security/SOC tool exposure Data & Tools: SQL, basic Python for data, dashboards/reporting (Excel / BI tools) Risk & Intelligence: Social media threat monitoring, scam/impersonation analysis, investigative reporting
National University of Singapore
Internship, Internet of Things
January 1, 2019 – January 1, 2019
Kalinga Institute of Industrial Technology, Bhubaneswar
Bachelor of Technology - BTech, Electrical and Electronics Engineering
January 1, 2017 – January 1, 2021
St. Joseph's Sr. Sec. School
High School Diploma, Pure Science
January 1, 2008 – January 1, 2016
Sacred Heart School
Schooling, Academic
January 1, 2003 – January 1, 2008
Alipore Girls' and Boys' School
Schooling
January 1, 1999 – January 1, 2003
Genpact
Threat & Protective Intelligence Analyst | Digital Risk | OSINT | Trust & Safety
September 1, 2025 – April 1, 2026
On-site
Genpact
Account Security & Content Quality Analyst
July 1, 2024 – September 1, 2025
On-site
Accenture
Career transition
February 1, 2022 – July 1, 2024
Accenture
Application Development Associate - Cloud Administrator
May 1, 2021 – February 1, 2022
WASABI Creation
Global Immersion Programme
October 1, 2019 – October 1, 2019
Singapore · On-site
International Astronomical Search Collaboration
Observer
June 1, 2019 – July 1, 2019
Remote
National University of Singapore
GAIP 2019
June 1, 2019 – June 1, 2019
Singapore · On-site
Career Break
Gap year
May 1, 2016 – June 1, 2017
Odisha, India
Toy Store KPI Report
November 1, 2023 – November 1, 2023
The objective was to visualize the data and create an interactive report to show orders, revenue and profit over time and by product category.
Data Visualisation Using Alteryx Designer
October 1, 2023 – October 1, 2023
Showcasing output reports from my project ETL worflow.
Data visualization with Power BI
October 1, 2023 – October 1, 2023
Sharing my coursework and other learnings using PowerBI.
Spatial Data Science
August 1, 2023 – October 1, 2023
Data Engineering, Preprocessing, Visualisation, Analysis(discovering hidden patterns and suitability analysis), Model building(predictive modelling) and Evaluation(space-time pattern mining and object detection) for Spatial Analysis using geoprocessing tools present in ArcGIS Pro.
Going Places With Spatial Data Analysis
February 1, 2023 – March 1, 2023
Software Used: ArcGIS Online Highlights: Analyzing Demographics, Enrich Layers, Add Layers, Create Buffers, Summarise Within, Finding Best Locations and Places
Classification Modelling with NLP
February 1, 2023 – February 1, 2023
News Headline Classification for Sarcasm using Logistic Regression. Explored basic count-based features, leveraging text sentiment and modelling with Bag of words and TF-IDF transformations for best performance and improved accuracy.
Customer Propensity Modelling
January 1, 2023 – January 1, 2023
Customer Behaviour Prediction with Binary Categorical Data and Target variable. Used Logistic Regression for Model creation and Predicting Outcomes.
EDA on Flipkart Air Conditioner Dataset
January 1, 2023 – January 1, 2023
Exploratory Data Analysis with Data Cleaning, Feature Extraction and getting Insightful Visualisation for Customer use cases.
DOA ESTIMATION USING MUSIC ALGORITHM
July 1, 2020 – April 1, 2021
In this project, I analysed the performance of MUSIC Algorithm by varying spacing between array elements, number of antennas, number of samples and difference in angles of the signals. The best performance was noted for spacing with half of wavelength, array elements between 50-100, snapshots of 1024 or more and difference in angles to be 20 degrees. Matlab software was used for coding and graphical interpretation.
RC TRANSMITTER AND RECEIVER FOR DRONE CONTROL/CALIBRATION
October 1, 2019 – February 1, 2020
• Implemented Wireless Communication with I2C protocol for master-slave configuration using NRF24 module and 2 Arduino boards. • Successfully controlled the motor speed for its on-flight movement (yaw, pitch & roll). • Worked with open-source Beaglebone Blue for complete integration of drone and controller.
ARDUINO BASED RADAR SYSTEM USING SONAR TECHNOLOGY
September 1, 2019 – April 1, 2020
In this project, I generated a RADAR to detect any object within a range of 10 meters with an accuracy of 96%. The display was created using Processing IDE which was connected with Arduino IDE through VSPE (Virtual Serial Port Emulator). Arduino was equipped with servo motor for 0 to 180 degree rotation and ultrasonic sensor for detecting any object in its range.
SCOUT DRONE PROJECT BASED ON IoT (GAIP SUMMER 2019 INTERNSHIP)
June 1, 2019 – June 1, 2019
• Provided IoT based solution for detecting trapped humans after a natural disaster. • A drone equipped with Raspberry Pi Camera and a Gesture module(BBC micro:bit) could be deployed to the area to stream live video feed and capture any hand waving movement in front of it for detecting human presence. • Presented the working prototype and demonstrated it successfully.
Machine Learning 2: Classification
Maven Analytics
June 25, 2026 – Present
Responsible AI: Applying AI Principles with Google Cloud
June 25, 2026 – Present
Microsoft Learn Transcripts
Microsoft learning 365
June 25, 2026 – Present
Power BI Desktop
Maven Analytics
June 25, 2026 – Present
Intro to Alteryx Designer
Maven Analytics
June 25, 2026 – Present
Data Science in Python: Data Prep & EDA
Maven Analytics
June 25, 2026 – Present
Data Science in Python: Regression
Maven Analytics
June 25, 2026 – Present
Tableau Desktop
Maven Analytics
June 25, 2026 – Present
Machine Learning 4: Unsupervised Learning
Maven Analytics
June 25, 2026 – Present
Generative AI Fundamentals
Google Cloud Skills Boost
June 25, 2026 – Present
Advanced DAX
Maven Analytics
June 25, 2026 – Present
Machine Learning 3: Regression & Forecasting
Maven Analytics
June 25, 2026 – Present
Advanced Tableau Desktop
Maven Analytics
June 25, 2026 – Present
Thinking Like an Analyst
Maven Analytics
June 25, 2026 – Present
Machine Learning 1: Data Profiling
Maven Analytics
June 25, 2026 – Present
Machine Learning Foundations
Maven Analytics
June 25, 2026 – Present
Imagery in Action
Esri
June 25, 2026 – Present
KPMG AU - Data Analytics Job Simulation
Forage
June 25, 2026 – Present
Introduction to Large Language Models
Google Cloud Skills Boost
June 25, 2026 – Present
ENERGY TRANSITION SELECTION - 2022-23
IFP School
June 25, 2026 – Present
Going Places with Spatial Analysis
Esri
June 25, 2026 – Present
Python Basics for Data Science Bootcamp
AI Planet
June 25, 2026 – Present
Introduction to Pandas
AI Planet
June 25, 2026 – Present
Natural Language Processing
AI Planet
June 25, 2026 – Present
ChatGPT for Data Analytics
Maven Analytics
June 25, 2026 – Present
MOOC Machine Learning in Weather & Climate
Copernicus ECMWF
June 25, 2026 – Present
Introduction to Generative AI
Google Cloud Skills Boost
June 25, 2026 – Present
BCG - Data Science Job Simulation
Forage
June 25, 2026 – Present
Encoder-Decoder Architecture
Google Cloud Skills Boost
June 25, 2026 – Present
Attention Mechanism
Google Cloud Skills Boost
June 25, 2026 – Present
Transformer Models and BERT Model
Google Cloud Skills Boost
June 25, 2026 – Present
Introduction to Responsible AI
Google Cloud Skills Boost
June 25, 2026 – Present
Introduction to Image Generation
Google Cloud Skills Boost
June 25, 2026 – Present
Create Image Captioning Models
Google Cloud Skills Boost
June 25, 2026 – Present
Introduction to Generative AI Studio
Google Cloud Skills Boost
June 25, 2026 – Present
Spatial Data Science (MOOC)
Esri
June 25, 2026 – Present
A Tour of the SAP Cloud Platform
June 25, 2026 – Present
GenAI in Social Media Marketing
Meta
June 25, 2026 – Present
Data Engineering: Pipelines, ETL, Hadoop
Coursera
June 25, 2026 – Present
Using Data Analytics in Supply Chain
Unilever
June 25, 2026 – Present
Implementing Supply Chain Analytics
Unilever
June 25, 2026 – Present
Supply Chain Software Tools
Unilever
June 25, 2026 – Present
Unilever Supply Chain Data Analyst
Unilever
June 25, 2026 – Present
Cybersecurity Risk Management Across Critical Systems
University of Maryland
June 25, 2026 – Present
Data Management with Databricks: Big Data with Delta Lakes
Coursera
June 25, 2026 – Present
GenAI in Data Analytics
Meta
June 25, 2026 – Present
Build AI Habits That Set You Apart with Conor Grennan
June 25, 2026 – Present
Find Mental Balance and Clarity Using Writing Techniques
June 25, 2026 – Present
Asset Accounting: Acquisitions in SAP S/4HANA
June 25, 2026 – Present
Fiori Reports and Embedded Analytics in SAP S/4HANA
June 25, 2026 – Present
Learning SAP Fiori: End User
June 25, 2026 – Present
SAP ERP Essential Training
June 25, 2026 – Present
SAP S/4 HANA Financial Accounting Overview
June 25, 2026 – Present
SAP S/4HANA: Beyond the Basics
June 25, 2026 – Present
Certificate of achievement - Business Analyst
365 Data Science
June 25, 2026 – Present
Cloud Basics for Data Professionals
Maven Analytics
June 25, 2026 – Present
Microsoft PL-300 Exam Prep
Maven Analytics
June 25, 2026 – Present
Certificate of completion - Intro to Data Engineering
365 Data Science
June 25, 2026 – Present
Certificate of completion - Advanced SQL for Data Engineering
365 Data Science
June 25, 2026 – Present
Certificate of completion - Corporate Strategy
365 Data Science
June 25, 2026 – Present
Introduction to Deep Learning with Artificial Neural Networks
Enterprise DNA
June 25, 2026 – Present
Introduction to Python for Data Engineering Course
Dataquest.io
June 25, 2026 – Present
Certificate of achievement - Data Scientist
365 Data Science
June 25, 2026 – Present
PySpark Foundations: Process, analyze, and summarize data
Coursera
June 25, 2026 – Present
Certificate of achievement - Data Analyst
365 Data Science
June 25, 2026 – Present
Machine Learning Models in Power BI
Enterprise DNA
June 25, 2026 – Present
Data Engineering Essentials
Coursera
June 25, 2026 – Present
Python for Data Science and AI
Coursera
June 25, 2026 – Present
Introduction to Data Engineering
IBM
June 25, 2026 – Present
Introduction to Data Management
Meta
June 25, 2026 – Present
Python for Data Science, AI & Development
IBM
June 25, 2026 – Present
Supply Chain Management and Analytics
Unilever
June 25, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong drive for learning and self-improvement, evidenced by the sheer volume of certifications and personal projects across various data-related domains. This aligns well with a culture that values continuous learning and initiative. The diverse range of projects, from IoT and radar systems to data visualization and NLP, suggests a broad intellectual curiosity and an ability to engage with different problem sets. The career transition period indicates a clear passion for data science, which could translate into high engagement and commitment within a data-focused team. However, the lack of team-based project descriptions or collaborative work in the data space makes it difficult to assess direct team collaboration and cultural integration beyond individual drive.
Soft Skills & Operational Fit
The candidate's extensive list of personal projects and certifications demonstrates strong self-motivation, a proactive learning attitude, and a commitment to continuous skill development. The 'Career transition' period highlights a deliberate effort to pivot into data science, indicating adaptability and goal orientation. The descriptions of past roles, while not directly data analyst positions, show experience in analytical thinking, investigation, and achieving accuracy benchmarks, which are transferable operational skills. However, direct experience in a dedicated data analyst role is limited, which might impact immediate operational fit for senior-level responsibilities.