Empowering Data-Driven Decisions

Data Solutions Expert Machine Learning Analytics Innovation Business Intelligence

Enterprise Data Solutions Expert with 4+ years of experience in leveraging data-driven insights to optimize processes and drive business growth. Specialized in transforming data into actionable insights through innovative solutions, driving efficiency and strategic decision-making.

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Professional headshot of Venkata Akhil Mettu

About Me

With over 4 years of experience in enterprise analytics and machine learning, I specialize in transforming data into actionable insights. My mission is to solve complex problems through innovative, data-driven solutions, driving efficiency and strategic decision-making.

Data Engineering & Process Optimization

Skilled in building and maintaining ETL pipelines to reduce reporting cycles and improve data accuracy.

Advanced Analytics & Visualization

I design interactive dashboards and predictive models that empower cross-functional teams with real-time insights.

Leadership & Collaboration

I foster a data-driven culture while ensuring seamless integration of analytics solutions into organizational processes.

Problem-Solving

My approach includes developing scalable solutions like fraud detection systems and adaptive ML pipelines.

Education

MS in Data Science - Saint Peter's University, USA (GPA: 3.9/4.0)

BE in Computer Science - AVIT, India (GPA: 3.7/4.0)

Technical Expertise

Programming & Development

Languages

Python R SQL HTML/CSS JavaScript

Python Libraries

Pandas NumPy Scikit-learn PyTorch PySpark

Machine Learning & AI

Core ML

Regression Classification Clustering Ensemble Methods

Deep Learning

Neural Networks CNN RNN LSTM ANN

Advanced Techniques

NLP Time Series Analysis Predictive Modeling Hyperparameter Tuning

ML Operations

Feature Engineering Model Deployment A/B Testing Concept Drift Detection

Data Engineering & Cloud

Cloud Platforms

AWS (S3, Redshift, Lambda) GCP Databricks

Big Data Tools

Hadoop Apache Spark MapReduce HDFS

Data Pipeline Tools

Airflow Apache Kafka ETL Pipelines

Development Tools

Docker Git CI/CD VS Code

Data Visualization

BI Tools

Tableau Power BI Plotly

Libraries

Matplotlib Seaborn Dash

Databases

SQL

PostgreSQL MySQL

NoSQL

MongoDB HDFS

Business & Project Management

Methodologies

Agile CI/CD KPI Development

Tools

MS Office Suite Google Suite

Professional Work Experience

Enterprise Data Solutions Analyst

NAVCO Industries Pvt Ltd | Remote | February 2024 - Present

  • Designed and deployed enterprise data solutions, improving operational efficiency by 15% and reducing reporting cycles by 30%.
  • Engineered and maintained 10+ ETL pipelines using AWS Lambda and Python, cutting data processing time by 40%.
  • Automated 20 reporting workflows and developed 12 dynamic dashboards in Tableau and Power BI, enhancing accessibility and reducing manual effort by 35%.
  • Conducted 50+ test cases and implemented data validation workflows, increasing data accuracy by 25%.
  • Mentored 6 junior analysts, fostering a data-driven culture and boosting team capacity by 20%.

Data Analyst

NAVCO Industries Pvt Ltd | March 2022 – May 2023

  • Analyzed large datasets to identify trends, improving operational efficiency by 20%.
  • Designed and maintained SQL databases to support data analysis and reporting.
  • Presented findings to stakeholders, facilitating data-driven decision-making.

Junior Data Analyst

NAVCO Industries Pvt Ltd | October 2021 – February 2022

  • Performed exploratory data analysis in Python and SQL to uncover insightful trends, patterns and correlations.
  • Created interactive Tableau dashboards to visualize key metrics, elevating stakeholder data literacy.
  • Employed statistical modeling and forecasting techniques to better predict future outcomes.

Junior Data Analyst

VLHS Pvt Ltd | October 2020 – August 2021

  • Conducted comprehensive data analysis to support business decisions in the manufacturing and distribution of medical-grade gloves.
  • Utilized statistical techniques to evaluate production processes, resulting in a 10% increase in operational efficiency.
  • Created visualizations and dashboards using tools like Tableau, Power BI to report on sales trends, leading to enhanced inventory management and a reduction in overstock by 15%.

Data Analyst Intern

VLHS Pvt Ltd | August 2020 – September 2020

  • Automated quality assurance workflows with Python, ensuring regulatory compliance and improving data accuracy.
  • Delivered weekly and monthly analytical reports for senior leadership, supporting strategic decisions.

Volunteer Work Experience

Research Assistant

Saint Peter's University | November 2024 - Present

  • Assist faculty researchers with comprehensive data collection, cleaning, and preprocessing for multiple healthcare analytics projects.
  • Apply advanced statistical analysis and machine learning techniques to research data, improving predictive accuracy of clinical outcome models.
  • Create data visualizations and detailed summary reports that effectively communicate complex research findings to diverse audiences.
  • Collaborate with interdisciplinary research teams on literature reviews and manuscript preparation for peer-reviewed publications.

Computer Programming and Mathematics Instructor

Welugu | December 2024 - Present

  • Develop and deliver comprehensive curriculum for Python, R, Java, JavaScript, HTML/CSS, and computer science fundamentals to diverse student groups.
  • Design engaging assignments and assessments that effectively evaluate student progress while reinforcing practical programming skills.
  • Teach advanced mathematics topics including calculus, linear algebra, discrete mathematics, and statistics with real-world applications.
  • Provide personalized one-on-one tutoring sessions for students requiring additional support, resulting in improved concept mastery and confidence.
  • Mentor students on independent coding projects and prepare them for programming competitions by creating interactive learning materials.

Treasurer

Saint Peter's University Data Science Club | September 2024 - April 2025

  • Oversee budget allocation for data science workshops, events, and competitions while tracking all club expenses with accurate financial documentation.
  • Collaborate with club leadership to develop financially sustainable activities and events that maximize value for members.
  • Manage membership dues collection and process funding applications to support ongoing club initiatives.
  • Present periodic financial updates during club meetings and help secure external resources and sponsorships for technical events.

Treasurer

Aarupadai Veedu Institute of Technology | July 2020 - September 2022

  • Managed a ₹50,000 annual budget for student organization activities while maintaining complete financial transparency and ensuring compliance with institutional policies.
  • Developed and implemented a digital tracking system that improved expense documentation efficiency by 30% and streamlined record-keeping processes.
  • Prepared quarterly financial reports and presentations for organization leadership and faculty advisors, facilitating informed decision-making.
  • Coordinated 5 successful fundraising initiatives that increased available funds by 25% year-over-year, enabling expanded technical workshops and competitive events.

Featured Projects

Data Professionals Insights Dashboard

Data Professionals Insights Dashboard

Career Analytics for Data Industry Professionals

Key Achievements

  • Created comprehensive dashboards analyzing demographics and career paths
  • Developed insights into work-life balance and job satisfaction metrics
  • Visualized programming language preferences across age groups

Technologies

Power BI DAX Data Analysis

Key Metrics

630 professionals analyzed 5.74 avg satisfaction score

Skills Demonstrated

Career Analytics Demographic Analysis Survey Visualization
View on GitHub
Air Quality Analytics Dashboard

Air Quality Analytics Dashboard

Environmental Data Visualization and Analysis

Key Achievements

  • Built comprehensive air quality monitoring dashboards
  • Implemented pollutant correlation analysis tools
  • Created seasonal trend analysis and temporal pattern recognition

Technologies

Power BI DAX Environmental Analytics

Key Insights

Seasonal pollution patterns Temperature impact analysis

Skills Demonstrated

Environmental Analytics Temporal Analysis Correlation Visualization
View on GitHub
Supermarket Sales Analytics Dashboard

Supermarket Sales Analytics Dashboard

Retail Performance and Customer Behavior Analytics

Key Achievements

  • Analyzed 1,000+ transactions to identify sales patterns
  • Created customer segmentation and product affinity analysis
  • Developed geographic performance visualization tools

Technologies

Power BI DAX Retail Analytics

Key Metrics

$122,366.75 total revenue 6.97 avg customer rating

Skills Demonstrated

Retail Analytics Customer Segmentation Geographic Analysis
View on GitHub
Sales & Inventory Analytics Dashboard

Sales & Inventory Analytics Dashboard

Transforming Raw Data into Actionable Business Insights

Key Achievements

  • Developed comprehensive Power BI dashboards for real-time monitoring
  • Reduced inventory overstock by 15% through data-driven optimization
  • Automated weekly and monthly reporting, saving 10+ hours per week

Technologies

Power BI DAX SQL Excel VBA

Key Metrics

15% cost reduction 10+ hours saved weekly

Skills Demonstrated

Economic Analysis Predictive Modeling Technical Analysis Dashboard Design KPI Development Data Modeling ETL
Dynamic Fraud Detection System

Dynamic Fraud Detection System

Adaptive Machine Learning for Financial Security

Key Achievements

  • Built end-to-end fraud detection system with 95% accuracy
  • Implemented concept drift detection for model adaptation
  • Developed real-time scoring system for 1000+ transactions/second

Technologies

Python Scikit-learn Flask Docker

Key Metrics

95% accuracy 1000+ TPS processing

Skills Demonstrated

Machine Learning Feature Engineering API Development
Daegu Real Estate Market Analysis

Daegu Real Estate Market Analysis

Power BI Analytics for Real Estate Investment Opportunities

Key Achievements

  • Analyzed over 5,871 properties to identify investment opportunities
  • Built interactive dashboards for investment and location analysis
  • Developed accessibility metrics to evaluate property locations

Technologies

Power BI DAX Data Modeling

Key Metrics

30.94% YoY Price Growth 5,871 properties analyzed

Skills Demonstrated

Dashboard Design Geospatial Analysis Data Visualization
View on GitHub
Enterprise Data Lake Implementation

Enterprise Data Lake Implementation

Scalable Data Architecture for Analytics

Key Achievements

  • Designed data lake handling 5TB+ of daily data
  • Created automated ETL pipelines reducing processing time by 40%
  • Implemented comprehensive data quality framework

Technologies

AWS (S3, Redshift) Apache Airflow Python

Key Metrics

5TB+ daily data 40% faster processing

Skills Demonstrated

Data Architecture ETL Cloud Computing
AI Sustainability Risk Intelligence System

AI Sustainability Risk Intelligence System

AI-Powered Insights for Business Sustainability

Key Achievements

  • Developed interactive dashboards for real-time sustainability risk monitoring
  • Created sector-specific risk analysis tools with custom metrics
  • Implemented advanced sentiment analysis for news and public perception

Technologies

Streamlit Pandas, NumPy Plotly NLTK, TextBlob

Skills Demonstrated

NLP Data Visualization Risk Analysis Web Development
Website (Private Repository)
Interactive Keyword-Based News Retrieval Dashboard

Interactive Keyword-Based News Retrieval

Enhancing Content Discovery with NLP and Real-Time Data Processing

Key Achievements

  • Developed interactive word cloud dashboard for real-time news trend visualization
  • Integrated multiple APIs (NYT, Bing News) for comprehensive content coverage
  • Implemented advanced NLP techniques for keyword extraction and relevance scoring
  • Created multimedia integration system combining text articles with video content

Technologies

Python D3.js New York Times API Bing News API HTML/CSS Bootstrap

Key Metrics

2+ Primary APIs integrated 100+ Daily trending topics 92.4% Content relevance

Skills Demonstrated

Natural Language Processing API Integration Data Visualization Web Development Real-time Processing Content Deduplication
Interactive Demo (Research Project - Saint Peter's University)
DoD Budget Analysis Dashboard

DoD Budget Analysis Dashboard

Interactive Analytics for Defense Budget Insights

Key Achievements

  • Built interactive visualizations for complex budget data
  • Developed statistical analyses for trend identification
  • Created anomaly detection system for budget irregularities

Technologies

Python Django Data Analysis

Skills Demonstrated

Financial Analysis Statistical Modeling Anomaly Detection Budget Forecasting
Website (Private Repository)
Forex Analysis and Prediction App

Forex Analysis and Prediction App

Advanced Analysis for Foreign Exchange Markets

Key Achievements

  • Created real-time forex data visualization tools
  • Implemented ARIMA modeling for short-term price predictions
  • Developed risk management tools with custom alerts

Technologies

Python Plotly Time Series Analysis

Skills Demonstrated

Financial Modeling Economic Analysis Predictive Modeling Technical Analysis
Website (Private Repository)
Clinical Decision Support System Dashboard

Enhancing Clinical Decision Support Systems using MIMIC Data

Developing Robust Predictive Models for Risk Assessment and Treatment Recommendations

Key Achievements

  • Developed mortality prediction model with 90% accuracy and 0.784 ROC AUC score
  • Achieved 100% accuracy for readmission risk prediction
  • Created length of stay model with 90% accuracy and 0.967 ROC AUC
  • Integrated social determinants of health into predictive models

Technologies

Python Gradient Boosting SQL Random Forest Logistic Regression

Data Sources

MIMIC-III (2001-2012) MIMIC-IV (2013-2019)

Project Scope

Predictive Modeling Risk Assessment Treatment Recommendations Equity in Care Healthcare Analytics
Completed: November 2024 Venkata Akhil Mettu, Saint Peter’s University
Adventure Works Sales Analytics Dashboard

Adventure Works Sales Analytics Dashboard

Comprehensive Sales Performance and Customer Behavior Insights

Key Achievements

  • Built multi-view dashboard tracking $24.91M in revenue and $10.46M in profit
  • Created dynamic visualizations for revenue trending and geographical distribution
  • Implemented customer segmentation analysis for 17.4K unique customers

Technologies

Power BI DAX SQL Data Modeling

Key Metrics

$24.91M revenue tracked $1.43K avg revenue per customer 25K orders analyzed

Skills Demonstrated

Dashboard Design Business Intelligence Data Visualization Customer Analytics
View Dashboard
Synthetic Medical Data Analysis

Leveraging Synthetic Medical Data for Personalized Healthcare Insights

Big Data Analytics for Healthcare Decision Support

Key Achievements

  • Built big data analytics platform using Apache Spark for healthcare insights
  • Developed logistic regression model with high AUC value for personalized medicine
  • Created feature importance visualization for clinical interpretation

Technologies

Advanced SQL Python Apache Spark Machine Learning

Project Scope

Kaggle Synthetic Medical Dataset Personalized medicine applications

Skills Demonstrated

Healthcare Analytics Big Data Processing Predictive Modeling Feature Engineering
Associated with Saint Peter’s University
COVID-19 Clinical Trial Analysis

Analysis of COVID-19 Clinical Trial Data

Data Mining and Predictive Modeling of Global Pandemic Research

Key Achievements

  • Analyzed 5000+ COVID-19 trials from ClinicalTrials.gov using data mining techniques
  • Developed a Linear Discriminant Analysis model with 48.9% accuracy for trial status prediction
  • Created visualizations to identify patterns in trial designs and participant enrollments
  • Implemented Principal Component Analysis for dimensionality reduction and pattern discovery

Technologies

R Programming Linear Discriminant Analysis Principal Component Analysis Data Visualization

Methods Used

Data Preprocessing Feature Engineering Correlation Analysis Cross-validation

Skills Demonstrated

Clinical Data Analysis Predictive Modeling Data Mining Statistical Analysis
Completed: February 2024 Venkata Akhil Mettu, Saint Peter’s University
Mental Health Trends Analysis

Mental Health Trends and Risk Modeling

Informing Gender-sensitive Policy and Interventions through Data Analysis

Key Achievements

  • Analyzed global mental health trends using Kaggle datasets from the Global Burden of Disease Collaborative Network
  • Developed generalized linear models (GLM) to predict depression prevalence with 13% improved accuracy
  • Uncovered relationship between GDP volatility and disproportionate increases in female depression rates

Technologies

R Programming tidyverse ggplot2 caret

Key Findings

Depression rates 2x higher in women globally Economic instability correlates with mental health decline

Skills Demonstrated

Statistical Modeling Time Series Analysis Data Visualization Policy Research
Completed at Saint Peter’s University • February 2024

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