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Hi, I'm Bhanu Prakash A Direddy, a data scientist with 3+ years of industry experience and an MSc in Artificial Intelligence from Cardiff University. I specialize in Python, SQL, NLP, and machine learning, with hands-on experience across the full data lifecycle—from data cleaning and EDA to model development, deployment, and monitoring. I’m proficient in MLOps, CI/CD, containerization, and cloud services (AWS), and I enjoy building dashboards in Tableau and Power BI to communicate actionable insights to stakeholders. I’m passionate about delivering practical AI solutions that solve real business problems and thrive in fast-moving project environments. My MSc dissertation on an Agentic LLM for data agents designed a six-layer repair pipeline that improved SQL outputs and model accuracy, and I’m expanding my skills in end-to-end ML pipelines, model versioning, and production deployment. I also contribute to the Data Science and AI student community through hackathons and research discussions.…Hi, I'm Bhanu Prakash A Direddy, a data scientist with 3+ years of industry experience and an MSc in Artificial Intelligence from Cardiff University. I specialize in Python, SQL, NLP, and machine learning, with hands-on experience across the full data lifecycle—from data cleaning and EDA to model development, deployment, and monitoring. I’m proficient in MLOps, CI/CD, containerization, and cloud services (AWS), and I enjoy building dashboards in Tableau and Power BI to communicate actionable insights to stakeholders. I’m passionate about delivering practical AI solutions that solve real business problems and thrive in fast-moving project environments. My MSc dissertation on an Agentic LLM for data agents designed a six-layer repair pipeline that improved SQL outputs and model accuracy, and I’m expanding my skills in end-to-end ML pipelines, model versioning, and production deployment. I also contribute to the Data Science and AI student community through hackathons and research discussions.

Bhanu Prakash A Direddy

Data Scientist, Data Analyst, AI Engineer, +3

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Hi, I'm Bhanu Prakash A Direddy, a data scientist with 3+ years of industry experience and an MSc in Artificial Intelligence from Cardiff University. I specialize in Python, SQL, NLP, and machine learning, with hands-on experience across the full data lifecycle—from data cleaning and EDA to model development, deployment, and monitoring. I’m proficient in MLOps, CI/CD, containerization, and cloud services (AWS), and I enjoy building dashboards in Tableau and Power BI to communicate actionable insights to stakeholders. I’m passionate about delivering practical AI solutions that solve real business problems and thrive in fast-moving project environments. My MSc dissertation on an Agentic LLM for data agents designed a six-layer repair pipeline that improved SQL outputs and model accuracy, and I’m expanding my skills in end-to-end ML pipelines, model versioning, and production deployment. I also contribute to the Data Science and AI student community through hackathons and research discussions.…Hi, I'm Bhanu Prakash A Direddy, a data scientist with 3+ years of industry experience and an MSc in Artificial Intelligence from Cardiff University. I specialize in Python, SQL, NLP, and machine learning, with hands-on experience across the full data lifecycle—from data cleaning and EDA to model development, deployment, and monitoring. I’m proficient in MLOps, CI/CD, containerization, and cloud services (AWS), and I enjoy building dashboards in Tableau and Power BI to communicate actionable insights to stakeholders. I’m passionate about delivering practical AI solutions that solve real business problems and thrive in fast-moving project environments. My MSc dissertation on an Agentic LLM for data agents designed a six-layer repair pipeline that improved SQL outputs and model accuracy, and I’m expanding my skills in end-to-end ML pipelines, model versioning, and production deployment. I also contribute to the Data Science and AI student community through hackathons and research discussions.

Available to hire

Hi, I’m Bhanu Prakash A Direddy, a data scientist with 3+ years of industry experience and an MSc in Artificial Intelligence from Cardiff University. I specialize in Python, SQL, NLP, and machine learning, with hands-on experience across the full data lifecycle—from data cleaning and EDA to model development, deployment, and monitoring. I’m proficient in MLOps, CI/CD, containerization, and cloud services (AWS), and I enjoy building dashboards in Tableau and Power BI to communicate actionable insights to stakeholders.

I’m passionate about delivering practical AI solutions that solve real business problems and thrive in fast-moving project environments. My MSc dissertation on an Agentic LLM for data agents designed a six-layer repair pipeline that improved SQL outputs and model accuracy, and I’m expanding my skills in end-to-end ML pipelines, model versioning, and production deployment. I also contribute to the Data Science and AI student community through hackathons and research discussions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Data Analyst Intern at NHS Wales

September 1, 2025 - October 22, 2025

Improved data quality by cleaning and pre-processing diabetes clinic appointment datasets using Python (Pandas, Matplotlib), categorising age groups, handling missing values, and deriving new features for analysis. Analyzed patient attendance by investigating a 14% DNA rate, identifying higher non-attendance among younger adults, pregnant women under 20, rural/deprived areas, and adult service type patients. Built Power BI dashboards to share insights and suggested simple steps like SMS reminders, flexible scheduling, and outreach to help reduce DNA (Did not Attend rate) and improve patient outcomes.

Data Scientist at VIAI Solutions Pvt Ltd

August 1, 2024 - October 22, 2025

Designed and implemented an end-to-end Customer Churn Analysis pipeline to address low retention, ensuring reliable inputs through data cleaning, feature encoding, and normalization. Analyzed churn patterns with EDA and visualization tools (matplotlib, seaborn, ipywidgets), uncovering key customer risk factors and presenting insights for business strategy. Built an AdaBoost predictive model with 92% accuracy, enabling targeted interventions that reduced churn by 49% and boosted overall customer retention.

Data Analyst at Data Mind Analytics

January 1, 2024 - October 22, 2025

Built an end-to-end sales forecasting pipeline for a grocery retail store, improving stock planning and reducing overstock/spoilage by 18% through real-time Tableau dashboards. Automated inventory and sales reporting with SQL and Python, cutting manual processing errors and improving data accuracy across departments. Led demand forecasting for 100+ grocery items using Facebook Prophet, increasing forecast accuracy by 20% and reducing excess stock by 10% during seasonal peaks.

Data Analyst Intern at NHS WALES

September 1, 2025 - September 1, 2025

Cleaned and pre-processed diabetes clinic appointment datasets using Python (Pandas, Matplotlib), categorized age groups, handled missing values, and derived new features for analysis. Investigated a 14% Did Not Attend (DNA) rate, identifying higher non-attendance among younger adults, pregnant women under 20, rural/deprived areas, and adult service type patients. Built Power BI dashboards to share insights and recommended practical steps such as SMS reminders, flexible scheduling, and targeted outreach to reduce DNA and improve patient outcomes.

Data Scientist at VIAI SOLUTIONS PVT LTD

August 1, 2024 - August 1, 2024

Designed and developed an end-to-end Customer Churn Analysis pipeline, covering data ingestion, cleaning, outlier handling, feature encoding, and normalization to ensure reliable inputs for modeling. Performed detailed EDA and visual analytics (matplotlib, seaborn, Tableau) to uncover churn drivers, delivering insight reports that shaped retention strategy. Built an AdaBoost predictive model with 92% accuracy, enabling targeted interventions that reduced churn by 49% and boosted overall retention. Deployed the model to production using Docker and FastAPI, with automated batch inference and monitoring dashboards to track drift, accuracy, and customer risk segments for timely interventions.

Data Analyst at DATA MIND ANALYTICS

January 1, 2024 - January 1, 2024

Built an end-to-end sales forecasting pipeline for a grocery retailer, improving stock planning and reducing overstock/spoilage by 18% via real-time Tableau dashboards. Automated inventory and sales reporting with SQL and Python, cutting manual processing errors and improving data accuracy across departments. Led demand forecasting for 100+ items using Facebook Prophet, increasing forecast accuracy by 20% and reducing excess stock during seasonal peaks.