Swagata Barik

Data Analyst

Key Strengths

Demonstrated interest in data analysis and visualization through numerous personal projects (Toy Store KPI Report, Data Visualisation Using Alteryx Designer, Data visualization with Power BI).
Extensive self-paced learning and certifications in data science, machine learning, and data engineering, indicating strong initiative and a proactive approach to skill development.
Experience with spatial data analysis (Spatial Data Science, Going Places With Spatial Data Analysis) which can be a niche but valuable skill for certain data analyst roles.
Exposure to machine learning concepts and modeling (Classification Modelling with NLP, Customer Propensity Modelling, Machine Learning Models in Power BI).
Background in cloud administration (AWS EC2, IAM) provides a foundational understanding of data infrastructure, which is beneficial for data roles.

Cultural & Operational Fit

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.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Just another outlier that might underfit your requirements but given a chance will overfit your expectations!

Gurgaon, Haryana, IndiaMember since June 25, 2026

https://www.opentalent.in/swagata-barik

About

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

Top Skills

Risk ManagementRisk AssessmentRisk AnalysisBusiness AnalysisDeep LearningArtificial Intelligence (AI)artificial neural networksSocial MediaHealthcare ManagementMatlabSimulinkArduinoRemote Sensingweather-forecastingChatGPTAlteryxMLTableauDAXMicrosoft Power BIArcGIS ProNatural Language Processing (NLP)LinuxOracle Databaseraspberry-piGithubamazon-ec2Amazon S3Windows ServerServer AdministrationMachine LearningData AnalyticsData scienceData AnalysisengineeringC++Microsoft OfficeHindiBig Data AnalyticsSAP S/4HANASAP FioriData reportingSap Erp

Skills

Education

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

Experience

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

National University of Singapore

GAIP 2019

June 1, 2019 – June 1, 2019

Singapore · On-site

International Astronomical Search Collaboration

Observer

June 1, 2019 – July 1, 2019

Remote

Career Break

Gap year

May 1, 2016 – June 1, 2017

Odisha, India

Projects

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.

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.

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

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.

Certifications

Data Science in Python: Data Prep & EDA

Maven Analytics

June 25, 2026 – Present

GenAI in Social Media Marketing

Key Strengths

Demonstrated interest in data analysis and visualization through numerous personal projects (Toy Store KPI Report, Data Visualisation Using Alteryx Designer, Data visualization with Power BI).
Extensive self-paced learning and certifications in data science, machine learning, and data engineering, indicating strong initiative and a proactive approach to skill development.
Experience with spatial data analysis (Spatial Data Science, Going Places With Spatial Data Analysis) which can be a niche but valuable skill for certain data analyst roles.
Exposure to machine learning concepts and modeling (Classification Modelling with NLP, Customer Propensity Modelling, Machine Learning Models in Power BI).
Background in cloud administration (AWS EC2, IAM) provides a foundational understanding of data infrastructure, which is beneficial for data roles.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit