Summary
Overview
Work History
Education
Skills
Professional Summary
Accomplishments
Timeline
Generic

BHARGAV PRANEETH BADE

Hyderabad

Summary

Versatile and high-energy professional with over 7 years of experience spanning Data Science, Analytics, Software Engineering, and Project Management. Proven track record of delivering data-driven solutions, managing full-cycle ML and software projects, and aligning technology with business goals. Known for integrity, dedication, and consistently achieving excellence across roles. Seeking to contribute technical depth and leadership within a growth-oriented organization.

Overview

9
9
years of professional experience

Work History

Business Analyst – AI

RPost Labs, India
Hyderabad
02.2024 - Current
  • Driving the development of AI-powered features for the Security Operations Center (SOC), integrating LLM-based threat classification, prompt-driven insights, and GPT-enabled chatbots for real-time analysis of security events across RMail, RSign, and RDocs.
  • Leading and designing intelligent, prompt-driven workflows, and real-time GPT chatbot integration aligned with MITRE ATT&CK for identifying phishing, identity leaks, and eavesdropping attacks.
  • Conducted usage pattern analysis and document/email metadata modeling to define AI scoring logic for threat intelligence dashboards, and developed heatmaps, watchlists, and user-level metrics in Power BI.
  • Designing and building end-to-end AI workflows using NLP, Named Entity Recognition (NER), prompt engineering, and vector-based similarity matching to identify critical security alerts from user communications and document metadata.
  • Collaborating on API design and model output mapping for seamless integration into SOC dashboards, and client reporting.
  • Enhancing RMail Gateway integration and optimizing usage-based billing with Zuora, aligning AI-driven usage metrics with billing logic.
  • Author and maintain the JIRA board, including user stories, functional documentation, and backend specs for AI model scoring pipelines, prompt logs, and secure document access analytics.
  • Delivered enhancements to Zuora billing, integrating AI-derived usage metrics for accurate billing triggers, subscription alignment, and automated reconciliation workflows.
  • Analyze product usage patterns and email/document metadata to propose data models for AI threat scoring and SOC heatmap visualizations using Power BI.

Lead Software Engineer – Analytics

ICube Consulting Services, India
01.2023 - 05.2024
  • Led collaboration with data team and business stakeholders to define AI use cases, translate requirements into technical specifications, and ensure alignment between model outputs and business needs.
  • Worked closely with stakeholders to conceptualize, design, and develop data visualization solutions that synthesize data concepts into clear communications for key business stakeholders using ER Studio Architect.
  • Developed and implemented SQL scripts for data ingestion from various sources and to extract, transform, and load (ETL) data from various sources into the data lake, utilizing generative AI techniques to automate data cleaning, transformation, and feature engineering tasks.
  • Created robust ETL pipelines and model scoring frameworks, using SQL and Python, integrated with production environments and monitored for reliability and efficiency.
  • Designed and deployed machine learning workflows using NLP pipelines, data labeling, and preprocessing techniques to prepare high-quality datasets for model training and production use.
  • Implemented Generative AI models for intelligent data profiling, error detection, and automated feature engineering; improved downstream model accuracy by minimizing noise and enhancing data consistency.
  • Built automated data ingestion and transformation pipelines using Azure Synapse Analytics, with performance tuning for deep learning workloads and real-time inference tasks.
  • Designed and enforced data governance policies via Azure Purview, including sensitive data classification, access controls, and integration of metadata into the ML pipeline for model transparency and compliance.
  • Explored and evaluated new deep learning algorithms to solve business problems in text analytics and document classification, iteratively tuning hyperparameters and improving F1 scores.

Senior Business Consultant

Convergytics Solutions, India
05.2022 - 01.2023
  • Conduct market research to identify business opportunities and monitor portfolio performance, presenting findings to clients to identify business needs and provide best practices.
  • Leveraged generative AI for demand forecasting and inventory optimization, improving supply chain efficiency and reducing stock outs.
  • Designed and implemented custom machine learning models and algorithms tailored to diverse datasets across multiple industries to identify business patterns and insights.
  • Created synthetic customer datasets using Generative AI to improve model training pipelines while preserving data privacy and reducing dependency on real customer data.
  • Developed Analysis Services reporting models and built executive dashboards, KPI scorecards, and interactive visual reports using Power BI and Tableau, enabling real-time performance tracking and stakeholder reporting.
  • Key contributor to building efficient programs and guide, mentor the team towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
  • Identified and evaluated new business opportunities, conducting risk-reward analysis and advising leadership on viability and expected ROI.
  • Defined and implemented strategies to improve core business metrics, operational efficiency, and client satisfaction through data-driven decision-making and technology adoption.
  • Contributed to team expansion and resource planning, including screening and interviewing candidates, while supporting programs focused on risk mitigation, process efficiency, and customer experience optimization.

Senior Data Scientist

Remote Sensing Instruments, India
06.2019 - 04.2022
  • Functioned as Lead Data Scientist, building AI-driven solutions using combining Computer Vision, NLP and statistical modeling to solve real-world business problems across domains like security analytics, usage intelligence, and compliance.
  • Led the development of computer vision pipelines to analyze satellite imagery, enabling classification of cultivable land vs. barren zones based on vegetation indices, color bands, and terrain features.
  • Built deep learning models (Ex: CNNs, U-Nets) for remote sensing data interpretation, enabling stakeholders to identify crop health, soil viability, and water resource patterns at scale.
  • Functioned as a liaison between business and engineering teams, translating complex geospatial and Agri-tech requirements into scalable AI-driven solutions.
  • Leveraged generative AI and NLP for demand forecasting, document classification, schema generation, and anomaly detection across large-scale unstructured data.
  • Leveraged generative AI for automated schema discovery and optimization in data modeling.
  • Organizing data collection procedures and generating data reports and performance data reports on a weekly, monthly, and quarterly basis as per the requirements
  • Developed custom data models to support precision farming insights, risk profiling, and inventory optimization, reducing manual labor and increasing crop planning accuracy.
  • Provided project-level leadership by drafting technical documentation, defining model KPIs, and ensuring cross-functional delivery of AI features from concept to deployment.
  • Implemented data governance practices, ensuring privacy, access control, and model auditability in compliance with industry standards.

Software Development Engineer

EVO Payments International, NE, USA
02.2019 - 05.2019
  • Contributed to software development of products through the software lifecycle, from requirements definition through successful deployment.
  • Presented data that helped guide decisions of the company, which has since raised $1.5M in seed funding.
  • Recorded and tracked the detailed customer interactions and transactions in the notes on each fraudulent transaction made with the customers.
  • Developed Controller for request, response paradigm by Spring Controllers using Spring-MVC and used JSON as response type in REST services and used STS tool to develop the application in the spring framework.
  • Used Spring Batch to implement DAO’s for persistence of service-related data in the databases, potentially incorporating C++ for optimized data handling and processing within the Spring Batch framework.
  • Consulted with the operations team on deploying, migrating data, monitoring, analyzing, and tuning MongoDB applications.

Project Manager

DFPS, TX, USA
05.2018 - 02.2019
  • Developed a deep understanding of the business objectives of internal and external stakeholders that includes business objectives and communicated a compelling AI product vision and maintained a realistic and impactful roadmap aligned with both strategic and technical goals.
  • Served as the liaison between business and technical teams, gathering feedback, refining user requirements, and translating them into actionable tasks to ensure timely, high-quality deliverables.
  • Identified key milestones, scoped deliverables, and contributed to comprehensive project plans using MS Project, while helping define Project Charter, Scope, and executive-level PMO reports.
  • Led JAD sessions with team leads and stakeholders, documenting minutes and creating detailed Business Documents to ensure clarity across cross functional teams.
  • Identified major tasks, timelines for each task, and assisted the fellow Project managers and Directors in preparing the project plan using MS Projects. Also involved in defining the Project Charter, Scope, and PMO reports.
  • Managed budgeting, forecasting, risk mitigation, and execution tracking while ensuring stakeholder expectations and delivery velocity remained aligned throughout the lifecycle.
  • Developed dynamic, responsive front-end interfaces using JSP, HTML, XML, and CSS, enabling real-time, interactive data retrieval and enhancing user engagement in web-based modules.

Data Scientist

Pruthtech IT Services, CA, USA
12.2016 - 04.2018
  • Designed, created, and maintained datasets to support credit risk modeling; developed scorecards to determine appropriate credit lines and payment plans based on customer transaction histories using SAS EG and SAS Miner
  • Performed customer segmentation and classification using RFM analysis and implemented C++ algorithms for efficient clustering and classification, leading to improved customer targeting and increased profitability.
  • Supported supply chain improvement activities by generating metrics & KPIs such as Sales to Inventory Ratios, Ticket Sales, Price Variance and so on
  • Processed large volumes of data and built predictive models to forecast future enrollment rates; identified key influencing factors and recommended actionable strategies.
  • Worked on data cleaning and transformation efforts to ensure high-quality analysis; developed interactive dashboards and storyboards using Tableau for executive-level reporting.
  • Applied advanced ETL techniques to integrate and transform structured data from multiple sources for downstream analytics and modeling, contributing to cost optimization in inventory management.

Education

Post Graduate Degree - Software Engineering For Data Science

IIITH
Hyderabad
10-2023

Master of Science - Management Information Systems - AI/ML

Florida International University
Miami, Florida
10-2016

Bachelor of Technology - Information Technology

GITAM University
Hyderabad
04-2015

Skills

  • Programming and databases: SAS, R, Python, C, SQL, MySQL, SQL Server
  • Frameworks and model: Agile, Scrum, Waterfall (V) model, MLOps
  • Web services: REST, JSON
  • Python libraries: NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, etc
  • Machine learning: regression analysis, ANOVA, hypothesis testing, neural networks, segmentation, cluster analysis, RFM, experimental design, decision trees, customer lifetime value (CLTV)
  • Data science and visualization tools: R Studio, Tableau, Power BI, ER Studio, SQL Server Management Studio (SSMS), Oracle
  • Development and version control tools: Visual Studio, Spring Tool Suite (STS), Git, MS Project

Professional Summary

  • Applied critical thinking and advanced data mining skills to solve complex business problems by identifying, processing, and analyzing relevant data effectively
  • Extensive hands-on experience in text analytics, NLP, and developing statistical machine learning models using Python and R, and delivering insights via Tableau and Power BI
  • Contributed to project coordination and execution, encompassing requirement gathering and analysis, and a consistent track record of driving projects within schedule and budget by leveraging data science, predictive modeling algorithms, visualization tools, structured reporting, roadmaps, and demos
  • Successfully applied generative AI techniques, such as sentiment analysis and topic modeling, to analyze customer feedback, identify market trends, and improve customer satisfaction
  • Experienced in using cloud platforms (Azure, GCP), version control (Git), and tools like Power BI and ER Studio for analytics, governance, and stakeholder reporting
  • Strong ability to translate business objectives into actionable data products, combining ML development with structured reporting, interactive dashboards, and roadmap planning.

Accomplishments

  • Recipient of the reputed Lee Brian Schrager Excellence in Leadership Award from FIU
  • Won the Best Project award for our course, i.e., MSIS, at Florida International University
  • Worked on analyzing the data and won a prize in the Atom Think Tank challenge at FIU (Data Science Project)

Timeline

Business Analyst – AI

RPost Labs, India
02.2024 - Current

Lead Software Engineer – Analytics

ICube Consulting Services, India
01.2023 - 05.2024

Senior Business Consultant

Convergytics Solutions, India
05.2022 - 01.2023

Senior Data Scientist

Remote Sensing Instruments, India
06.2019 - 04.2022

Software Development Engineer

EVO Payments International, NE, USA
02.2019 - 05.2019

Project Manager

DFPS, TX, USA
05.2018 - 02.2019

Data Scientist

Pruthtech IT Services, CA, USA
12.2016 - 04.2018

Post Graduate Degree - Software Engineering For Data Science

IIITH

Master of Science - Management Information Systems - AI/ML

Florida International University

Bachelor of Technology - Information Technology

GITAM University

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