Snapshot
Gear
Analytics + BI
SQL, Excel, Power BI, Tableau, SAS, Google Analytics
Balajigowda H S
Data Science & Analytics
Product & Business Insights • Machine Learning • Decision Support
I support data-driven decisions by combining analytics, machine learning, and business context, partnering across teams to deliver better decisions.
Python
SQL
Machine Learning
LLMs
Dashboards
Snapshot
Who I Am
Profile
I’m a Data Science & Analytics professional with a Master’s in Business Analytics from The George Washington University, passionate about using data to inform better decisions. My experience spans data science, research, and business analytics, where I’ve built predictive models, designed analytical dashboards, and applied statistical methods to uncover meaningful patterns. I thrive in roles that sit between data and business, working with stakeholders to translate complex analysis into insights that drive strategy, efficiency, and impact.
My experience spans data science, research, and business analytics in consulting and market research. I am passionate about leveraging data to solve business challenges and drive decision-making.
Education
The George Washington University
Master of Science, Business Analytics | 2024
Focused on machine learning, data mining, and data visualization with applied analytics projects.
Dr. Ambedkar Institute of Technology
Bachelor of Mechanical Engineering
Built analytical foundations through engineering problem-solving and systems design.
Gear
Analytics Arsenal
Data Science
Python, R, sklearn, TensorFlow, statistical modeling
AI / NLP
Prompting, RAG patterns, NLP pipelines, vector search
Data Engineering + Ops
ETL workflows, AWS, data cleaning, pipeline automation, Git
Lab
Lab
Work in Focus
Highlighting 10+ data projects across ML, analytics, and automation that support business and product decisions. Replace impact metrics with verified results.
Machine Learning for Fair Lending
Built an end-to-end bias detection workflow combining machine learning models, fairness metrics, and cohort analysis to surface potential disparities in lending outcomes. Delivered insights through a compliance-ready Power BI dashboard for decision support.
Python
Machine Learning
Power BI
Compliance
Apple Maps Experience Intelligence
Analyzed large-scale user feedback and operational signals to identify experience pain points and opportunities for product improvement within Apple Maps.
Product Analytics
Python
User Experience
Insurance Claims Intelligence (RAG-Based)
Built a retrieval-augmented generation (RAG) system to answer insurance claim questions by grounding LLM responses in policy documents and claim guidelines.
Python
RAG
LLMs
Applied AI
Customer Churn Prediction
Built churn prediction models and cohort-based risk scores to identify at-risk customers and support targeted retention strategies.
Python
Machine Learning
Banking Analytics
Customer Segmentation Using Clustering
Segmented customers using behavioral and demographic data to uncover distinct customer groups and enable targeted marketing, personalization, and retention strategies.
Python
Clustering
Customer Analytics
Business Insights
Brain Tumor Detection Using CNN
Designed and evaluated a CNN-based pipeline for automated brain tumor detection from MRI scans, focusing on model performance, robustness, and clinical evaluation metrics.
PyTorch
Computer Vision
Healthcare AI
Predictive Modeling of Diabetes
Developed predictive models for early diabetes risk screening and analyzed feature importance to surface key clinical drivers supporting practitioner review and decision-making.
Python
Classification
Healthcare Analytics
Crime Trends in Los Angeles
Analyzed and visualized crime data to uncover seasonal patterns, geographic hotspots, and resolution trends using interactive Tableau dashboards.
Tableau
Exploratory Analytics
Trail
Trail
Where I've Worked
Rebecca Everlene Trust Company
Data Science & Analytics Analyst | Mar 2025 - Present
- Led data cleaning, validation, and consolidation across multiple internal datasets to improve reporting accuracy and decision reliability.
- Built analytical workflows using Python and SQL to transform raw data into analysis-ready datasets.
- Developed dashboards and recurring reports to track performance trends and support leadership decision-making.
- Partnered with cross-functional stakeholders to translate business questions into actionable analytical outputs.
- Identified data quality gaps and implemented standardized checks, improving consistency and reducing downstream rework.
George Washington University
Research Assistant | Oct 2024 - Dec 2024
- Analyzed large-scale research datasets to identify statistically significant trends supporting ongoing academic and applied studies.
- Applied statistical modeling and hypothesis testing to validate research questions with evidence-backed conclusions.
- Designed dashboards and analytical reports to communicate insights to faculty and non-technical stakeholders.
- Optimized data preparation workflows, reducing analysis turnaround time and improving reproducibility.
- Translated analytical findings into actionable insights for decision-oriented audiences.
FI Consulting
Data Scientist | Jan 2024 - May 2024
- Built and evaluated machine learning models on HMDA datasets to identify potential fair lending risk and compliance gaps.
- Developed interactive Power BI dashboards to surface risk indicators and support compliance decision-making.
- Partnered with business stakeholders to translate model outputs into clear, actionable recommendations.
- Documented model assumptions, validation metrics, and limitations to ensure audit readiness.
- Aligned analytics deliverables with stakeholder KPIs and compliance objectives.
Fortune Spiritz
Analyst | Apr 2022 - Jul 2023
- Analyzed sales, inventory, and demand data to identify key growth drivers and operational inefficiencies.
- Built executive-facing dashboards that streamlined weekly business reviews and improved decision velocity.
- Automated recurring reporting workflows, reducing manual effort and accelerating insight delivery.
- Standardized KPI tracking to align performance metrics with leadership priorities.
- Collaborated with sales and operations teams to refine product mix and inventory optimization strategies.
Cognizant
Analyst Intern | Nov 2021 - Apr 2022
- Automated data extraction and reporting processes, reducing manual reporting cycles.
- Coordinated a 40-member project cohort, improving task tracking and delivery timelines.
- Collaborated with cross-functional teams in a fast-paced enterprise environment.
- Implemented and documented QA checks to improve data accuracy and reliability.
- Translated business requirements into structured data tasks to support analytics initiatives.
Certifications
Proof of continuous learning
Google Analytics
Certified in measurement planning, reporting, and optimization.
Azure Data Scientist Associate
Validated skills across ML pipelines and Azure ML services.
Contact
Let us build something together
Reach out directly
Email is the fastest way to reach me. I respond within 24 hours.
